Summary
If you're running AI agents in production or building on MCP, this scanner gives you the blast radius view you actually need. It inventories agents, MCP servers, tools, packages, and credential references, then maps vulnerabilities from OSV and GHSA through the dependency graph to show you which agents can reach which exposed attack paths. You get CLI output for CI gates, MCP tools for agent driven security queries, and a self hosted dashboard that visualizes the full mesh. The quickstart command seeds demo data so you can see graph backed findings before pointing it at your own stack. Useful when you need to answer "what breaks if this package is compromised" or enforce pre install guards across a fleet.
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Tools
Public tool metadata for what this MCP can expose to an agent.
36 tools
scanRun a full AI supply chain security scan. Discovers local MCP configurations (Claude Desktop, Cursor, Windsurf, VS Code Copilot, OpenClaw, etc.), extracts package dependencies, queries OSV.dev for CVEs, assesses config security (credential exposure, tool access), computes blas...13 params
Run a full AI supply chain security scan. Discovers local MCP configurations (Claude Desktop, Cursor, Windsurf, VS Code Copilot, OpenClaw, etc.), extracts package dependencies, queries OSV.dev for CVEs, assesses config security (credential exposure, tool access), computes blas...
Parameters* required
imagevalueDocker image to scan (e.g. 'nginx:1.25', 'ghcr.io/org/app:v1').
enrichbooleanEnable NVD CVSS, EPSS probability, and CISA KEV enrichment.default: false
policyvaluePolicy object to evaluate alongside scan results, e.g. {"rules": [{"id": "no-critical", "severity_gte": "critical", "action": "fail"}]}.
sbom_pathvaluePath to existing CycloneDX or SPDX JSON SBOM file to ingest.
scorecardbooleanEnrich packages with OpenSSF Scorecard scores (requires resolvable GitHub repos).default: false
db_sourcesvalueComma-separated DB sources to sync before scanning (e.g. 'nvd,ghsa,osv,epss,kev').
transitivebooleanResolve transitive dependencies for npx/uvx packages.default: false
config_pathvaluePath to MCP client config directory. Auto-discovers all if omitted.
fail_severityvalueReturn failure status if vulns at this severity or higher: critical, high, medium, low.
output_formatstringOutput format: 'json' (default), 'sarif', 'cyclonedx', 'spdx', 'junit', 'csv', or 'markdown'.default: json
warn_severityvalueReturn warning status (gate_status=warn, exit 0) when vulns at this severity or higher exist. Use with fail_severity for two-tier CI gates, e.g. warn_severity='medium', fail_severity='critical'.
auto_update_dbbooleanAuto-refresh local vuln DB if stale (>7 days) before scanning.default: true
verify_integritybooleanVerify package SHA-256/SRI hashes and SLSA provenance against registries.default: false
checkCheck a specific package for known CVEs before installing. Queries OSV.dev for vulnerabilities in the given package. Use this before installing an MCP server or dependency to verify it is safe. Args: package: Package name with optional version, e.g. "express@4.18.2", "@modelco...2 params
Check a specific package for known CVEs before installing. Queries OSV.dev for vulnerabilities in the given package. Use this before installing an MCP server or dependency to verify it is safe. Args: package: Package name with optional version, e.g. "express@4.18.2", "@modelco...
Parameters* required
packagestringPackage name with optional version, e.g. 'express@4.18.2', '@modelcontextprotocol/server-filesystem@2025.1.14', or 'requests' (resolves @latest).
ecosystemstringPackage ecosystem: 'npm', 'pypi', 'go', 'cargo', 'maven', 'nuget', 'rubygems', 'composer', 'swift', 'pub', 'hex', 'conda', 'deb', 'apk', or 'rpm'.default: npm
blast_radiusLook up the blast radius of a specific CVE across your AI agent setup. Scans local MCP configurations, finds the specified CVE, and returns the full attack chain: which packages are affected, which MCP servers use those packages, which agents connect to those servers, and what...1 params
Look up the blast radius of a specific CVE across your AI agent setup. Scans local MCP configurations, finds the specified CVE, and returns the full attack chain: which packages are affected, which MCP servers use those packages, which agents connect to those servers, and what...
Parameters* required
cve_idstringCVE identifier to look up, e.g. 'CVE-2024-1234' or 'GHSA-xxxx'.
policy_checkEvaluate a security policy against current scan results. Runs a scan, then evaluates the provided policy rules against the findings. Policies can gate on severity thresholds, CISA KEV status, AI risk flags, credential exposure, and denied packages. Args: policy_json: JSON stri...1 params
Evaluate a security policy against current scan results. Runs a scan, then evaluates the provided policy rules against the findings. Policies can gate on severity thresholds, CISA KEV status, AI risk flags, credential exposure, and denied packages. Args: policy_json: JSON stri...
Parameters* required
policy_jsonstringJSON string containing policy rules, e.g. {"rules": [{"id": "no-critical", "severity_gte": "critical", "action": "fail"}]}.
registry_lookupQuery the agent-bom MCP server threat intelligence registry. Look up risk level, known tools, credential requirements, and verification status for known MCP servers. The registry contains 109+ servers with security metadata. Args: server_name: MCP server name to look up (e.g....2 params
Query the agent-bom MCP server threat intelligence registry. Look up risk level, known tools, credential requirements, and verification status for known MCP servers. The registry contains 109+ servers with security metadata. Args: server_name: MCP server name to look up (e.g....
Parameters* required
server_namevalueMCP server name to look up, e.g. 'filesystem', '@modelcontextprotocol/server-github'.
package_namevaluePackage name to search for, e.g. 'mcp-server-sqlite'. At least one of server_name or package_name is required.
generate_sbomGenerate a Software Bill of Materials (SBOM) for your AI agent setup. Discovers AI agents and MCP servers, extracts all package dependencies, and generates a standards-compliant SBOM. Args: format: SBOM format — "cyclonedx" (CycloneDX 1.6) or "spdx" (SPDX 3.0). config_path: Pa...2 params
Generate a Software Bill of Materials (SBOM) for your AI agent setup. Discovers AI agents and MCP servers, extracts all package dependencies, and generates a standards-compliant SBOM. Args: format: SBOM format — "cyclonedx" (CycloneDX 1.6) or "spdx" (SPDX 3.0). config_path: Pa...
Parameters* required
formatstringSBOM format: 'cyclonedx' (CycloneDX 1.6) or 'spdx' (SPDX 3.0).default: cyclonedx
config_pathvaluePath to MCP client config directory. Auto-discovers all if omitted.
complianceGet OWASP LLM Top 10 / OWASP MCP Top 10 / MITRE ATLAS / NIST AI RMF compliance posture. Scans local MCP configurations, maps findings to 47 security controls across four AI security frameworks, and returns per-control pass/warning/fail status with an overall compliance score....2 params
Get OWASP LLM Top 10 / OWASP MCP Top 10 / MITRE ATLAS / NIST AI RMF compliance posture. Scans local MCP configurations, maps findings to 47 security controls across four AI security frameworks, and returns per-control pass/warning/fail status with an overall compliance score....
Parameters* required
imagevalueDocker image to scan, e.g. 'nginx:1.25'.
config_pathvaluePath to MCP client config directory. Auto-discovers all if omitted.
remediateGenerate a remediation plan for vulnerabilities in your AI agent setup. Scans for vulnerabilities, then generates actionable fix commands for each affected package (npm install, pip install), credential scope reduction guidance, and reports on unfixable vulnerabilities. Args:...2 params
Generate a remediation plan for vulnerabilities in your AI agent setup. Scans for vulnerabilities, then generates actionable fix commands for each affected package (npm install, pip install), credential scope reduction guidance, and reports on unfixable vulnerabilities. Args:...
Parameters* required
imagevalueDocker image to scan, e.g. 'nginx:1.25'.
config_pathvaluePath to MCP client config directory. Auto-discovers all if omitted.
skill_scanScan skill and instruction files for trust, findings, and provenance. Discovers supported files such as `CLAUDE.md`, `AGENTS.md`, `.cursorrules`, and `skills/*.md`, then parses referenced packages, MCP servers, credential env vars, audit findings, and trust verdicts.1 params
Scan skill and instruction files for trust, findings, and provenance. Discovers supported files such as `CLAUDE.md`, `AGENTS.md`, `.cursorrules`, and `skills/*.md`, then parses referenced packages, MCP servers, credential env vars, audit findings, and trust verdicts.
Parameters* required
pathstringPath to a skill/instruction file or directory to scan.default: .
skill_verifyVerify Sigstore provenance for skill and instruction files.1 params
Verify Sigstore provenance for skill and instruction files.
Parameters* required
pathstringPath to a skill/instruction file or directory to verify.default: .
skill_trustAssess the trust level of a SKILL.md file using ClawHub-style categories. Parses a SKILL.md file, runs security audit checks, then evaluates trust across 5 categories: Purpose & Capability, Instruction Scope, Install Mechanism, Credentials, and Persistence & Privilege. Returns...1 params
Assess the trust level of a SKILL.md file using ClawHub-style categories. Parses a SKILL.md file, runs security audit checks, then evaluates trust across 5 categories: Purpose & Capability, Instruction Scope, Install Mechanism, Credentials, and Persistence & Privilege. Returns...
Parameters* required
skill_pathstringPath to a SKILL.md file (or any skill/instruction file) to assess.
verifyVerify package integrity and SLSA provenance against registries. Checks SHA-256/SRI hashes against npm/PyPI registries and looks up SLSA build provenance attestations to confirm the package was built from its claimed source repository. Returns: JSON with integrity verification...2 params
Verify package integrity and SLSA provenance against registries. Checks SHA-256/SRI hashes against npm/PyPI registries and looks up SLSA build provenance attestations to confirm the package was built from its claimed source repository. Returns: JSON with integrity verification...
Parameters* required
packagestringPackage name with optional version, e.g. 'express@4.18.2' or 'requests==2.31.0'.
ecosystemstringPackage ecosystem: 'npm' or 'pypi'.default: npm
whereShow all MCP discovery paths and which config files exist. Lists every known MCP client config path per platform, indicating which files are present on the current system. Useful for debugging discovery issues or understanding where MCP configs live. Returns: JSON with per-cli...
Show all MCP discovery paths and which config files exist. Lists every known MCP client config path per platform, indicating which files are present on the current system. Useful for debugging discovery issues or understanding where MCP configs live. Returns: JSON with per-cli...
No parameter schema in public metadata yet.
inventoryList all discovered MCP configurations and servers without CVE scanning. Performs fast discovery and package extraction only — no vulnerability scanning. Use this for a quick inventory of configs, servers, and packages. Returns: JSON with discovered agents, their MCP servers,...1 params
List all discovered MCP configurations and servers without CVE scanning. Performs fast discovery and package extraction only — no vulnerability scanning. Use this for a quick inventory of configs, servers, and packages. Returns: JSON with discovered agents, their MCP servers,...
Parameters* required
config_pathvaluePath to MCP client config directory. Auto-discovers all if omitted.
tool_risk_assessmentScore live-introspected MCP tool capabilities and server risk. Uses runtime `tools/list` data to classify tool capabilities (READ/WRITE/EXECUTE/NETWORK/etc.) and compute a per-server risk profile. Returns: JSON with per-server tool profiles, capability counts, dangerous combin...2 params
Score live-introspected MCP tool capabilities and server risk. Uses runtime `tools/list` data to classify tool capabilities (READ/WRITE/EXECUTE/NETWORK/etc.) and compute a per-server risk profile. Returns: JSON with per-server tool profiles, capability counts, dangerous combin...
Parameters* required
timeoutnumberPer-server introspection timeout in seconds.default: 10
config_pathvaluePath to MCP client config directory. Auto-discovers all if omitted.
diffCompare a fresh scan against a baseline to find new and resolved vulns. Runs a new scan, then diffs it against the provided baseline (or the latest saved report). Shows new vulnerabilities, resolved ones, and changes in the package inventory. Returns: JSON with new findings, r...1 params
Compare a fresh scan against a baseline to find new and resolved vulns. Runs a new scan, then diffs it against the provided baseline (or the latest saved report). Shows new vulnerabilities, resolved ones, and changes in the package inventory. Returns: JSON with new findings, r...
Parameters* required
baselinevalueBaseline report JSON object. If omitted, uses the latest saved report from history.
marketplace_checkPre-install trust check for an MCP server package. Queries the package registry (npm or PyPI) for metadata and cross-references against the agent-bom MCP threat intelligence registry. Returns trust signals including download count, CVE status, and registry verification. Args:...2 params
Pre-install trust check for an MCP server package. Queries the package registry (npm or PyPI) for metadata and cross-references against the agent-bom MCP threat intelligence registry. Returns trust signals including download count, CVE status, and registry verification. Args:...
Parameters* required
packagestringPackage name, e.g. 'express', 'langchain'.
ecosystemstringPackage ecosystem: 'npm' or 'pypi'.default: npm
code_scanRun SAST (Static Application Security Testing) on source code via Semgrep. Scans for security flaws: SQL injection, XSS, command injection, hardcoded credentials, insecure deserialization, path traversal, etc. Returns findings with CWE classifications and severity levels. Requ...2 params
Run SAST (Static Application Security Testing) on source code via Semgrep. Scans for security flaws: SQL injection, XSS, command injection, hardcoded credentials, insecure deserialization, path traversal, etc. Returns findings with CWE classifications and severity levels. Requ...
Parameters* required
pathstringPath to source code directory to scan.
configstringSemgrep config. 'auto' = Semgrep Registry rules. Can be a path or registry string.default: auto
context_graphBuild an agent context graph with lateral movement analysis. Models reachability between agents, servers, credentials, tools, and vulnerabilities. Answers: "If agent X is compromised, what else becomes reachable?" Returns: JSON with nodes, edges, lateral_paths, interaction_ris...3 params
Build an agent context graph with lateral movement analysis. Models reachability between agents, servers, credentials, tools, and vulnerabilities. Answers: "If agent X is compromised, what else becomes reachable?" Returns: JSON with nodes, edges, lateral_paths, interaction_ris...
Parameters* required
max_depthintegerMax BFS depth for lateral path discovery (1-6, default 4).default: 4
config_pathvaluePath to MCP config directory. Omit to auto-discover.
source_agentvalueAgent name to compute lateral paths from. Omit for all agents.
graph_exportExport the agent dependency graph in graph-native formats. Formats: - **graphml** — yEd, Gephi, NetworkX compatible with AIBOM-typed attributes - **cypher** — Neo4j import script with AIBOM node labels (AIAgent, MCPServer, Package, Vulnerability) - **dot** — Graphviz (pipe thr...2 params
Export the agent dependency graph in graph-native formats. Formats: - **graphml** — yEd, Gephi, NetworkX compatible with AIBOM-typed attributes - **cypher** — Neo4j import script with AIBOM node labels (AIAgent, MCPServer, Package, Vulnerability) - **dot** — Graphviz (pipe thr...
Parameters* required
formatstringExport format: graphml, cypher, dot, mermaid, or json (default).default: json
config_pathvaluePath to MCP config directory. Omit to auto-discover.
analytics_queryQuery vulnerability trends, posture history, and runtime event summaries from ClickHouse. Requires AGENT_BOM_CLICKHOUSE_URL to be set. Returns empty results if ClickHouse is not configured.5 params
Query vulnerability trends, posture history, and runtime event summaries from ClickHouse. Requires AGENT_BOM_CLICKHOUSE_URL to be set. Returns empty results if ClickHouse is not configured.
Parameters* required
daysintegerLookback window in days (default 30). Used by vuln_trends and posture_history.default: 30
agentvalueFilter by agent name. Used by vuln_trends and posture_history.
hoursintegerLookback window in hours (default 24). Used by event_summary.default: 24
limitintegerMax results for top_cves (default 20).default: 20
query_typestringQuery type: vuln_trends, top_cves, posture_history, or event_summary
cis_benchmarkRun CIS benchmark checks against a cloud account. Evaluates security posture against CIS Foundations Benchmarks: - AWS Foundations v3.0: 18 checks (IAM, Storage, Logging, Networking) - Snowflake v1.0: 12 checks (Auth, Network, Data Protection, Monitoring, Access Control) - Azu...6 params
Run CIS benchmark checks against a cloud account. Evaluates security posture against CIS Foundations Benchmarks: - AWS Foundations v3.0: 18 checks (IAM, Storage, Logging, Networking) - Snowflake v1.0: 12 checks (Auth, Network, Data Protection, Monitoring, Access Control) - Azu...
Parameters* required
checksvalueComma-separated check IDs to run (e.g. '1.1,2.1'). Omit to run all.
regionvalueAWS region (only for provider=aws). Defaults to us-east-1.
profilevalueAWS CLI profile (only for provider=aws).
providerstringCloud provider: 'aws', 'snowflake', 'azure', or 'gcp'.
project_idvalueGCP project ID (only for provider=gcp). Falls back to GOOGLE_CLOUD_PROJECT env var.
subscription_idvalueAzure subscription ID (only for provider=azure). Falls back to AZURE_SUBSCRIPTION_ID env var.
fleet_scanBatch-scan a list of MCP server names against the security metadata registry. Designed for fleet inventory data (CrowdStrike, SIEM, CSV exports) where you have server names but not versions. Returns per-server risk assessment with registry match status, risk category, tools, c...1 params
Batch-scan a list of MCP server names against the security metadata registry. Designed for fleet inventory data (CrowdStrike, SIEM, CSV exports) where you have server names but not versions. Returns per-server risk assessment with registry match status, risk category, tools, c...
Parameters* required
serversstringComma-separated or newline-separated list of MCP server names to scan. E.g. '@modelcontextprotocol/server-filesystem, brave-search, glean, 50 sleep'.
runtime_correlateCross-reference vulnerability scan results with proxy runtime audit logs. Identifies which vulnerable tools were ACTUALLY CALLED in production, distinguishing confirmed attack surface from theoretical risk. Produces risk-amplified findings: a vulnerable tool that was called 10...3 params
Cross-reference vulnerability scan results with proxy runtime audit logs. Identifies which vulnerable tools were ACTUALLY CALLED in production, distinguishing confirmed attack surface from theoretical risk. Produces risk-amplified findings: a vulnerable tool that was called 10...
Parameters* required
audit_logstringPath to proxy audit JSONL log file (generated by 'agent-bom proxy --log audit.jsonl').default:
otel_tracestringPath to OTel OTLP JSON trace file for ML API provenance (detects deprecated/vulnerable model versions).default:
config_pathstringPath to MCP config directory (e.g. ~/.config/claude) or 'auto' for default discovery.default: auto
vector_db_scanScan for running vector databases and assess their security posture. Probes well-known ports for Qdrant (6333), Weaviate (8080), Chroma (8000), and Milvus (9091). For each discovered instance checks: - Authentication required (no_auth flag if collections accessible without cre...1 params
Scan for running vector databases and assess their security posture. Probes well-known ports for Qdrant (6333), Weaviate (8080), Chroma (8000), and Milvus (9091). For each discovered instance checks: - Authentication required (no_auth flag if collections accessible without cre...
Parameters* required
hostsvalueComma-separated hosts to probe (default: 127.0.0.1). Example: '127.0.0.1,10.0.0.5'.
aisvs_benchmarkRun AISVS v1.0 (AI Security Verification Standard) compliance checks. Evaluates the local AI system stack against OWASP AISVS v1.0 controls: - AI-4.1 Model files use safe serialization (not pickle/pt/bin) - AI-4.2 Model files have cryptographic integrity digest - AI-4.3 Ollama...1 params
Run AISVS v1.0 (AI Security Verification Standard) compliance checks. Evaluates the local AI system stack against OWASP AISVS v1.0 controls: - AI-4.1 Model files use safe serialization (not pickle/pt/bin) - AI-4.2 Model files have cryptographic integrity digest - AI-4.3 Ollama...
Parameters* required
checksvalueComma-separated AISVS check IDs to run (e.g. 'AI-4.1,AI-6.1'). Omit to run all 9 checks.
gpu_infra_scanDiscover GPU/AI compute infrastructure: containers, K8s nodes, and DCGM endpoints. Scans for GPU-enabled workloads from the local Docker daemon and Kubernetes clusters. Identifies NVIDIA base images, CUDA/cuDNN versions, explicit GPU device assignments, and unauthenticated DCG...2 params
Discover GPU/AI compute infrastructure: containers, K8s nodes, and DCGM endpoints. Scans for GPU-enabled workloads from the local Docker daemon and Kubernetes clusters. Identifies NVIDIA base images, CUDA/cuDNN versions, explicit GPU device assignments, and unauthenticated DCG...
Parameters* required
probe_dcgmbooleanWhether to probe DCGM exporter endpoints on port 9400 (unauthenticated metrics leak detection).default: true
k8s_contextvaluekubectl context to use for K8s GPU node discovery. Omit for current context.
dataset_card_scanScan a directory for ML dataset card metadata and provenance. Discovers and parses: - HuggingFace dataset_info.json (auto-generated metadata) - HuggingFace README.md YAML frontmatter (dataset cards) - DVC .dvc tracking files (data versioning provenance) Flags: UNLICENSED_DATAS...1 params
Scan a directory for ML dataset card metadata and provenance. Discovers and parses: - HuggingFace dataset_info.json (auto-generated metadata) - HuggingFace README.md YAML frontmatter (dataset cards) - DVC .dvc tracking files (data versioning provenance) Flags: UNLICENSED_DATAS...
Parameters* required
directorystringDirectory path to scan for dataset cards (dataset_info.json, README.md frontmatter, .dvc files).
training_pipeline_scanScan a directory for ML training pipeline lineage and provenance. Discovers and parses: - MLflow: meta.yaml, MLmodel, requirements.txt, conda.yaml - Kubeflow: Argo workflow YAML, KFP v2 pipelineSpec YAML - W&B: wandb-metadata.json, config.yaml, wandb-summary.json Flags: UNSAFE...1 params
Scan a directory for ML training pipeline lineage and provenance. Discovers and parses: - MLflow: meta.yaml, MLmodel, requirements.txt, conda.yaml - Kubeflow: Argo workflow YAML, KFP v2 pipelineSpec YAML - W&B: wandb-metadata.json, config.yaml, wandb-summary.json Flags: UNSAFE...
Parameters* required
directorystringDirectory path to scan for training pipeline artifacts (MLflow, Kubeflow, W&B).
browser_extension_scanScan installed browser extensions for dangerous permissions. Scans Chrome, Chromium, Brave, Edge, and Firefox for extensions with: - nativeMessaging (can execute arbitrary commands) - debugger (can intercept all browser traffic) - cookies/clipboardRead on AI domains - Broad ho...1 params
Scan installed browser extensions for dangerous permissions. Scans Chrome, Chromium, Brave, Edge, and Firefox for extensions with: - nativeMessaging (can execute arbitrary commands) - debugger (can intercept all browser traffic) - cookies/clipboardRead on AI domains - Broad ho...
Parameters* required
include_low_riskbooleanInclude low-risk extensions in results (default: only medium+ risk).default: false
model_provenance_scanCheck ML model provenance and supply chain metadata. Queries HuggingFace Hub or Ollama for: - Serialization format (safetensors=safe, pickle/pt=unsafe) - SHA256 digest verification - Gated/private status - Model card presence - Risk assessment (critical/high/medium/safe) Retur...2 params
Check ML model provenance and supply chain metadata. Queries HuggingFace Hub or Ollama for: - Serialization format (safetensors=safe, pickle/pt=unsafe) - SHA256 digest verification - Gated/private status - Model card presence - Risk assessment (critical/high/medium/safe) Retur...
Parameters* required
sourcestringModel source: 'huggingface' or 'ollama' (default: huggingface).default: huggingface
model_idstringHuggingFace model ID (e.g. 'meta-llama/Llama-3-8B') or Ollama model name (e.g. 'llama3').
prompt_scanScan prompt template files for injection risks and security issues. Discovers and analyzes: - .prompt files - system_prompt.* files - Files in prompts/ directories Checks for injection patterns, unsafe variable interpolation, and missing guardrails in prompt templates.1 params
Scan prompt template files for injection risks and security issues. Discovers and analyzes: - .prompt files - system_prompt.* files - Files in prompts/ directories Checks for injection patterns, unsafe variable interpolation, and missing guardrails in prompt templates.
Parameters* required
directorystringDirectory path to scan for prompt template files (.prompt, system_prompt.*, prompts/ directories).
model_file_scanScan a directory for ML model files and assess serialization risks. Discovers model files and checks: - Serialization format (safetensors=safe, pickle/joblib=unsafe) - File size and format metadata - GGUF/GGML quantization details - Known unsafe patterns in pickle-based format...1 params
Scan a directory for ML model files and assess serialization risks. Discovers model files and checks: - Serialization format (safetensors=safe, pickle/joblib=unsafe) - File size and format metadata - GGUF/GGML quantization details - Known unsafe patterns in pickle-based format...
Parameters* required
directorystringDirectory path to scan for ML model files (.gguf, .safetensors, .onnx, .pt, .pkl, .h5, etc.).
ai_inventory_scanScan source code for AI component usage patterns. Detects: - AI SDK imports (openai, anthropic, langchain, etc.) across 7 languages - Model string references (gpt-4o, claude-3-5-sonnet, llama-3, etc.) - Hardcoded API keys (sk-proj-*, sk-ant-*, hf_*, etc.) - Deprecated model us...1 params
Scan source code for AI component usage patterns. Detects: - AI SDK imports (openai, anthropic, langchain, etc.) across 7 languages - Model string references (gpt-4o, claude-3-5-sonnet, llama-3, etc.) - Hardcoded API keys (sk-proj-*, sk-ant-*, hf_*, etc.) - Deprecated model us...
Parameters* required
directorystringDirectory to scan for AI SDK imports, model refs, API keys, shadow AI (Python/JS/TS/Java/Go/Rust/Ruby).
license_compliance_scanEvaluate package licenses against compliance policy. Categorizes each package license using the full SPDX catalog (2,500+ licenses) with proper expression parsing (OR/AND/WITH), deprecated ID normalization, and network-copyleft detection (AGPL, EUPL, OSL). Risk tiers: permissi...2 params
Evaluate package licenses against compliance policy. Categorizes each package license using the full SPDX catalog (2,500+ licenses) with proper expression parsing (OR/AND/WITH), deprecated ID normalization, and network-copyleft detection (AGPL, EUPL, OSL). Risk tiers: permissi...
Parameters* required
scan_jsonstringJSON string of a previous scan result (from the 'scan' tool) containing agents with packages. Or a JSON array of {"name": "pkg", "version": "1.0", "ecosystem": "npm", "license": "MIT"} objects.
policy_jsonstringOptional JSON policy: {"license_block": ["GPL-*"], "license_warn": ["LGPL-*"]}. Uses default policy (block GPL/AGPL/SSPL/BUSL/EUPL/OSL, warn LGPL/MPL/EPL/CDDL) if empty.default:
ingest_external_scanIngest Trivy, Grype, or Syft JSON scan output and return packages with blast radius analysis. Auto-detects the scanner format from the JSON structure: - Trivy (``trivy fs --format json``): Results + Vulnerabilities - Grype (``grype --output json``): matches array - Syft (``syf...1 params
Ingest Trivy, Grype, or Syft JSON scan output and return packages with blast radius analysis. Auto-detects the scanner format from the JSON structure: - Trivy (``trivy fs --format json``): Results + Vulnerabilities - Grype (``grype --output json``): matches array - Syft (``syf...
Parameters* required
scan_jsonstringJSON string from Trivy, Grype, or Syft scan output
Open security scanner and self-hosted control plane for AI/MCP infrastructure.
Headless agent primitives and human cockpit surfaces over the same evidence model.
Docs · First Run · Self-host · GitHub Action · Docker · Changelog
agent-bom scans local and fleet AI infrastructure, builds an AI BOM across
agents, MCP servers, tools, packages, credential environment names, cloud
estate, non-human identities, runtime, and skills, then turns that inventory
into findings, compliance evidence, LLM cost posture, and graph-backed
multi-hop exposure paths.
The same evidence is available through CLI/CI, REST API, MCP tools, and a self-hosted dashboard. Runtime proxy/gateway controls — including inline firewall enforcement and a secure-by-default gateway — are optional and scoped to environments where enforcement is worth the operational cost.
package
-> vulnerability finding
-> MCP server
-> tools + credential refs
-> agent
Blast radius is the core idea. A vulnerable package is not just a CVE row; it is linked to the MCP server that loads it, the tools exposed by that server, the credential environment names in reach, and the agents that can call it.
What It Scans
| Domain | Coverage |
|---|---|
| Supply chain | 15 package ecosystems (npm, PyPI, Maven, Go, Cargo, NuGet, Composer, RubyGems, conda, Hex, Pub, Swift, plus OS packages apk/deb/rpm) with OSV/GHSA enrichment, transitive resolution, and dependency-confusion detection |
| Agents + MCP | MCP clients, servers, tools, transports, trust posture, and live introspection across 29 first-class client types |
| AI models + datasets | Malicious-model detection via safe pickle-opcode disassembly (no deserialization), model/dataset cards, and PII/PHI dataset scanning |
| Cloud estate | Read-only, gated asset inventory across AWS, Azure, and GCP plus AI/GPU provider posture and CIS benchmarks |
| Identity (NHI) | Non-human identity discovery (Okta/Entra, gated), credential-expiry posture, and access-review recertification campaigns |
| LLM cost | Spend forecasting, budget runway, chargeback/allocation, and seasonal-aware spend-anomaly detection |
| Containers + IaC | Native OCI image parsing plus Dockerfile, Terraform, CloudFormation, Helm, and Kubernetes |
| Secrets + runtime | Secret detection, MCP proxy/gateway, A2A and MCP auth-posture checks, inline firewall enforcement, and redaction surfaces |
| Compliance | Mapped governance frameworks plus ZIP evidence bundles for auditors |
Findings converge on one unified Finding model and a unified ContextGraph,
so multi-hop attack-path fusion, blast radius, and exposure scoring all read
from the same evidence.
First Run
pip install agent-bom
agent-bom quickstart --dry-run --offline # print the onboarding plan
agent-bom quickstart --run --offline # write sample, scan, seed gateway policy, populate the cockpit
agent-bom agents --demo --offline
The demo uses bundled advisory-backed OSV/GHSA ranges against intentionally vulnerable sample packages and produces graph-ready inventory without touching your source tree. For a real local scan:
agent-bom agents -p . -f html -o agent-bom-report.html
Want an inspectable sample stack first?
agent-bom samples first-run
agent-bom agents --inventory agent-bom-first-run/inventory.json -p agent-bom-first-run --enrich
See docs/FIRST_RUN.md for the guided path from CLI output to the dashboard.
To reproduce the dashboard screenshots from a clean local control-plane store:
make build-ui
uv run agent-bom serve --persist /tmp/agent-bom-demo.db --allow-insecure-no-auth
uv run agent-bom agents --demo --offline --no-auto-update-db -f json -o /tmp/agent-bom-demo.json
curl -sS -H 'content-type: application/json' --data-binary @/tmp/agent-bom-demo.json \
http://127.0.0.1:8422/v1/results/push
Product Proof
The dashboard screenshots below are captured from the packaged UI with bundled demo scan data and seeded control-plane records, not static mockups. The data is synthetic where needed, but the routes are the real scan, graph, fleet, identity, audit, and gateway surfaces. The README keeps the first screen focused; expand the gallery when you want to inspect the control-plane surfaces.
Evidence cockpit and agent mesh
Graph views beyond the agent mesh
The graph proof set is intentionally split across modes: fix-first exposure paths, root-centered lineage, lateral context, and package risk distribution. That keeps each view readable instead of forcing every relationship into one sprawling canvas.
Environment state and identity lifecycle
Fleet and identity views use the same control-plane APIs that operators use for customer-owned deployments. The sample below seeds environment, owner, lifecycle state, and agent identity events so the screenshots show how local scan evidence connects to reviewable governance records.
Dependency and remediation views
Runtime policy and audit posture
Screenshot capture rules and the full manifest live in docs/CAPTURE.md and docs/images/product-screenshots.json.
Start Here
| Goal | Command | Artifact |
|---|---|---|
| Local agent and MCP inventory | agent-bom agents | findings, AI BOM, graph-ready JSON |
| Guided local onboarding | agent-bom quickstart --dry-run --offline | scan, sample-data, and local API/UI next steps |
| One-command onboarding | agent-bom quickstart --run --offline | writes sample, runs a graph-persisting scan, seeds a baseline gateway policy |
| Repo and lockfile scan | agent-bom agents -p . | package findings, SARIF/SBOM/HTML when requested |
| Pre-install guard | agent-bom check flask@2.0.0 --ecosystem pypi | deterministic allow/warn/block result |
| Container image scan | agent-bom image nginx:latest | image findings and remediation |
| IaC scan | agent-bom iac Dockerfile k8s/ infra/main.tf | IaC findings and policy context |
| Cloud posture check | agent-bom cloud aws --cis | runtime CIS posture evidence |
| Cloud estate inventory | agent-bom cloud inventory --provider aws | read-only, gated asset inventory (AWS/Azure/GCP) |
| LLM cost forecast | agent-bom cost forecast | spend burn-rate, budget runway, and chargeback posture |
| Non-human identity posture | agent-bom identity credential-expiry | expiring/overdue NHI credentials and access reviews |
| CI gate | uses: msaad00/agent-bom@v0.89.2 | SARIF, PR summary, optional code-scanning upload |
| MCP tools | pip install 'agent-bom[mcp-server]' && agent-bom mcp server | strict-args security tools for MCP clients |
| Local API/UI | pip install 'agent-bom[ui]' && agent-bom serve | API plus bundled dashboard |
| First-run extras | pip install 'agent-bom[all]' | supported onboarding extras; MLflow remains separately installed |
| Self-hosted pilot | docker compose -f docker-compose.pilot.yml up -d | API and dashboard in your environment |
The base wheel is the scanner and CLI path. Optional runtime surfaces fail fast with install hints when their extras are missing.
New to the repo? PROJECT_STRUCTURE.md is the repo map, docs/START_HERE.md routes you by role, and docs/CLI_MAP.md groups every command by domain.
MCP registry publishing is tracked through the committed Smithery manifest and other registry metadata; install and liveness checks stay in the linked integration docs instead of this front door.
Shipped Surfaces
| Surface | Primary user | Current boundary |
|---|---|---|
| CLI / CI | developers and release gates | local scans, SARIF/SBOM/HTML/JSON, deterministic exit codes |
| REST API | control-plane integrations | scans, bulk findings, dataset versions, evaluation runs, graph evidence, audit, runtime summaries |
| MCP tools | agents and assistants | strict arguments, read-mostly security queries, exposure paths, deploy decisions, audited Shield actions |
| Dashboard | security teams and operators | inventory, findings, graph cockpit, compliance, evidence, runtime posture |
| Runtime proxy/gateway | runtime operators | scoped MCP traffic inspection, policy decisions, redacted audit evidence |
| Python client | services, notebooks, and automation | typed helper for stable REST endpoints in the packaged wheel |
| TypeScript client | services and agent runtimes | typed helper for stable REST endpoints |
MCP server mode advertises 69 MCP tools, 6 resources, and 6 workflow prompts.
Most tools are read-only. The three Shield write actions fail closed unless
the caller supplies operator_role=admin, operator_scopes=shield:write, and
an audit reason.
CLI scan commands run local scan pipelines today. They share lower scanner and discovery libraries with the API, but they are not API wrappers yet.
Runtime enforcement is explicit. Proxy mode either wraps a target MCP server for audit and policy decisions, or runs that server through Docker/Podman isolation when a sandbox image is supplied:
agent-bom proxy --no-isolate --policy policy.json --detect-credentials --block-undeclared -- npx @mcp/server-github
agent-bom proxy --sandbox-image ghcr.io/acme/mcp-runtime@sha256:<digest> \
--sandbox-image-pin-policy enforce --block-undeclared -- npx @mcp/server-postgres
Deploy In Your Boundary
agent-bom is designed for customer-controlled deployment: local CLI, Docker,
GitHub Action, Helm, EKS, Postgres, and optional runtime proxy/gateway.
curl -fsSL https://raw.githubusercontent.com/msaad00/agent-bom/main/deploy/docker-compose.pilot.yml -o docker-compose.pilot.yml
docker compose -f docker-compose.pilot.yml up -d
# Dashboard -> http://localhost:3000
Production self-hosting starts with the deployment chooser:
There is no managed cloud offering in this repository today. Product lane boundaries are documented in docs/PRODUCT_BOUNDARIES.md.
Trust Model
- Read-only discovery by default for cloud and local inventory.
- No mandatory telemetry.
- Credential values are redacted; credential environment names are preserved as evidence so exposure paths stay explainable.
- Findings can export as JSON, SARIF, CycloneDX, SPDX, OCSF, Markdown, HTML, and compliance evidence bundles.
- API and runtime paths are designed for tenant scope, auth boundaries, and audit evidence.
- OpenAPI artifacts are committed for SDK and client contract checks.
Security and release references:
- Threat model
- Pentest readiness
- Python API and control-plane client
- Go control-plane client
- Product metrics
- Release verification
- GitHub Action
Product Views
The docs site carries the deployment-oriented walkthroughs behind those screenshots:
Contributing
Contributions are welcome. Start with:
License: Apache-2.0.
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UpdatedApr 28, 2026
