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Task Graph Mcp

oortonaut/task-graph-mcp
1STDIOregistry active
Summary

If you're running multiple AI agents on complex work and tired of them stepping on each other or losing track of what they're doing, this gives you structured workflows through MCP tools. You get task hierarchies with phases (explore, implement, review), transition prompts that auto-guide agents between states, quality gates that enforce requirements before moving forward, and coordination primitives like atomic task claiming and advisory file locks. It's built on SQLite with pre-configured topologies for solo work, parallel swarms, specialist relays, or hierarchical delegation. Token tracking and cost accounting are built in. Useful when you need agents to follow a process instead of wandering off or duplicating work.

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Task Graph MCP Server

Agent task workflows that actually work.

When you have AI agents working on complex tasks, things go wrong fast. Agents lose context, skip steps, forget to coordinate. Task Graph solves this with structured workflows: phases to guide work, prompts for automatic guidance, gates to enforce quality, and coordination primitives for multi-agent scenarios—all through the Model Context Protocol.

Why Task Graph?

The problem: You've got complex tasks that need structured execution. Maybe a single agent working through phases, or multiple agents coordinating in parallel. Without proper workflows, agents lose track, skip steps, and produce inconsistent results.

What you get:

  • Structured workflows — Phases (explore, implement, review, test) guide agents through work. Transition prompts provide automatic guidance at each step.
  • Quality gates — Require tests to pass, code to be committed, or reviews to complete before transitions. Enforce your standards automatically.
  • Ready-to-use topologies — Pre-built workflows for solo work, parallel swarms, specialist relays, or hierarchical delegation. Start immediately, customize later.
  • Configurable workflows — Define your own states, phases, prompts, and gates. Match your process, not ours.
  • Multi-agent coordination — Advisory file locks, DAG dependencies, atomic claiming. No more conflicts or duplicate work.
  • Token-efficient — Designed for LLM context limits. Compact queries, minimal round-trips, structured outputs.
  • Built-in accounting — Track tokens, cost, and time per task. Know exactly what your agents are spending.
  • Zero infrastructure — SQLite with WAL mode. No database server to run. Just point at a file.

Features

FeatureDescription
Task HierarchyUnlimited nesting with parent/child relationships
DAG DependenciesTyped edges (blocks, follows, contains) with cycle detection
PhasesCategorize work type (explore, implement, review, test, deploy)
WorkflowsNamed workflow topologies (solo, swarm, relay, hierarchical)
Transition PromptsAutomatic agent guidance on status/phase changes
GatesExit requirements for status/phase transitions
Atomic ClaimingStrict locking with limits and tag-based routing
File CoordinationAdvisory locks with reasons and change polling
Cost TrackingToken usage and USD cost per task
Time TrackingAutomatic accumulation from state transitions
Live StatusReal-time "current thought" visible to other agents
Full-text SearchFTS5-powered search across tasks and attachments
AttachmentsInline content, file references, or media storage
Agent FeedbackInter-agent communication with categorized feedback (conditional on config)
Dynamic OverlaysRuntime workflow customization via add/remove overlay tools

Quick Start

# Install
cargo install task-graph-mcp

# Add to your MCP client (Claude Code, etc.)
{
  "mcpServers": {
    "task-graph": {
      "command": "task-graph-mcp"
    }
  }
}
# Agent workflow (worker_id auto-generated if omitted)
connect(workflow="swarm", tags=["code"])                 → "bright-lunar-swift-fox"
list_tasks(ready=true, agent="bright-lunar-swift-fox")   → claimable work
claim(worker_id="bright-lunar-swift-fox", task="add-auth")  → you own it
update(..., phase="implement")                           → enter implementation phase
thinking(agent="bright-lunar-swift-fox", thought="Adding JWT...")  → visible to others
update(worker_id="bright-lunar-swift-fox", task="add-auth",
       status="completed",
       attachments=[{type:"commit", content:"abc123"}])  → done

Installation

From crates.io (Recommended)

cargo install task-graph-mcp

Pre-built Binaries

Download the latest release for your platform from GitHub Releases:

PlatformDownload
Linux (x64)task-graph-mcp-x86_64-unknown-linux-gnu.tar.gz
macOS (Intel)task-graph-mcp-x86_64-apple-darwin.tar.gz
macOS (Apple Silicon)task-graph-mcp-aarch64-apple-darwin.tar.gz
Windows (x64)task-graph-mcp-x86_64-pc-windows-msvc.zip

Extract and place the binary in your PATH.

From Source

git clone https://github.com/Oortonaut/task-graph-mcp.git
cd task-graph-mcp
cargo build --release

The binary will be at target/release/task-graph-mcp.

Usage

As an MCP Server

Add to your MCP client configuration:

{
  "mcpServers": {
    "task-graph": {
      "command": "task-graph-mcp",
      "args": []
    }
  }
}

CLI Options

task-graph-mcp [OPTIONS]

Options:
  -c, --config <FILE>     Path to configuration file
  -d, --database <FILE>   Path to database file (overrides config)
  -v, --verbose           Enable verbose logging
  -h, --help              Print help
  -V, --version           Print version

Configuration

Full reference: See docs/CONFIGURATION.md for complete configuration documentation including workflows, prompts, gates, roles, and tags.

Create .task-graph/config.yaml:

server:
  db_path: .task-graph/tasks.db
  media_dir: .task-graph/media  # Directory for file attachments
  skills_dir: .task-graph/skills  # Custom skill overrides
  stale_timeout_seconds: 900
  default_format: json  # or markdown

paths:
  style: relative  # or project_prefixed

auto_advance:
  enabled: false        # Auto-transition unblocked tasks
  target_state: ready   # Target state (requires custom state in states config)

States Configuration

Task states are configurable. Default states: pending, working, completed, failed, cancelled.

To add a ready state for auto-advance:

states:
  initial: pending
  disconnect_state: pending  # State for tasks when owner disconnects (must be untimed)
  blocking_states: [pending, working]
  definitions:
    pending:
      exits: [ready, working, cancelled]
    ready:
      exits: [working, cancelled]
    working:
      exits: [completed, failed, pending]
      timed: true    # Time in this state counts toward time_actual_ms
    completed:
      exits: []
    failed:
      exits: [pending]
    cancelled:
      exits: []

auto_advance:
  enabled: true
  target_state: ready

See SCHEMA.md for full documentation on state definitions.

Dependencies Configuration

Dependency types define how tasks relate to each other. Default types: blocks, follows, contains, duplicate, see-also, relates-to.

dependencies:
  definitions:
    blocks:
      display: horizontal  # Same-level relationship
      blocks: start        # Blocks claiming the dependent task
    follows:
      display: horizontal
      blocks: start
    contains:
      display: vertical    # Parent-child relationship
      blocks: completion   # Blocks completing the parent
    duplicate:
      display: horizontal
      blocks: none         # Informational only
    see-also:
      display: horizontal
      blocks: none
    relates-to:
      display: horizontal
      blocks: none
PropertyValuesDescription
displayhorizontal, verticalVisual relationship (same-level vs parent-child)
blocksnone, start, completionWhat the dependency blocks

Attachments Configuration

Preconfigured attachment keys provide default MIME types and modes, reducing boilerplate when attaching common content types.

attachments:
  unknown_key: warn  # allow | warn (default) | reject
  definitions:
    commit:
      mime: text/git.hash
      mode: append
    checkin:
      mime: text/p4.changelist
      mode: append
    meta:
      mime: application/json
      mode: replace
    note:
      mime: text/plain
      mode: append
PropertyValuesDescription
unknown_keyallow, warn, rejectBehavior for undefined attachment keys
definitions.<key>.mimeMIME type stringDefault MIME type for this key
definitions.<key>.modeappend, replaceDefault mode (append keeps existing, replace overwrites)

Built-in defaults:

KeyMIME TypeModeUse Case
committext/git.hashappendGit commit hashes
checkintext/p4.changelistappendPerforce changelists
changelisttext/plainappendFiles changed
metaapplication/jsonreplaceStructured metadata
notetext/plainappendGeneral notes
logtext/plainappendLog output
errortext/plainappendError messages
outputtext/plainappendCommand/tool output
difftext/x-diffappendPatches and diffs
plantext/markdownreplacePlans and specs
resultapplication/jsonreplaceStructured results
contexttext/plainreplaceCurrent context/state

Usage:

# MIME and mode auto-filled from config:
attach(task="123", name="commit", content="abc1234")
# → mime=text/git.hash, mode=append

attach(task="123", name="meta", content='{"v":1}')
# → mime=application/json, mode=replace (overwrites existing meta)

# Explicit values override defaults:
attach(task="123", name="commit", mime="text/plain", content="override")

Environment variables:

  • TASK_GRAPH_CONFIG_PATH: Path to configuration file (takes precedence over .task-graph/config.yaml)
  • TASK_GRAPH_DB_PATH: Database file path (fallback if no config file)
  • TASK_GRAPH_MEDIA_DIR: Media directory for file attachments (fallback if no config file)
  • TASK_GRAPH_LOG_DIR: Log directory path (fallback if no config file)

MCP Tools

Worker Management

ToolDescription
connect(worker_id?, tags?, workflow?, force?, db_path?, media_dir?, log_dir?, config_path?, overlays?: str[])Register a worker. Optional workflow selects named workflow (solo, swarm, relay, hierarchical). Returns worker_id and active paths.
disconnect(worker_id: worker_str, final_status?: status_str = "pending")Unregister worker and release all claims/locks.
list_agents(tags?: str[], file?: filename, task?: task_str, depth?: int, stale_timeout?: int)List connected workers with filters.
cleanup_stale(timeout?: int, final_status?: status_str)Evict stale workers and release their claims.
add_overlay(worker_id: str, overlay: str)Add a dynamic workflow overlay to a connected worker.
remove_overlay(worker_id: str, overlay: str)Remove a workflow overlay from a connected worker.

Task CRUD

ToolDescription
create(description: str, id?: task_str, parent?: task_str, priority?: int = 5, points?: int, time_estimate_ms?: int, tags?: str[])Create a task. Priority 0-10 (higher = more important).
create_tree(tree, parent?, child_type?, sibling_type?)Create nested task tree. child_type (default: "contains") for parent→child deps, sibling_type for sibling deps.
get(task: task_str)Get task by ID with attachment metadata and counts.
list_tasks(status?: status_str[], ready?: bool, blocked?: bool, claimed?: bool, owner?: worker_str, parent?: task_str, recursive?: bool, agent?: worker_str, tags_any?: str[], tags_all?: str[], sort_by?: str, sort_order?: str, limit?: int, offset?: int)Query tasks with filters. Use ready=true for claimable tasks.
update(worker_id: worker_str, task: task_str, status?: status_str, phase?: str, assignee?: worker_str, title?: str, description?: str, priority?: int, points?: int, tags?: str[], needed_tags?: str[], wanted_tags?: str[], time_estimate_ms?: int, reason?: str, force?: bool, attachments?: object[])Update task. Status/phase changes auto-manage ownership and trigger prompts. Include attachments to record commits/changelists.
delete(worker_id: worker_str, task: task_str, cascade?: bool, reason?: str, obliterate?: bool, force?: bool)Delete task. Soft delete by default; obliterate=true for permanent.
scan(task: task_str, before?: int, after?: int, above?: int, below?: int)Scan task graph in multiple directions. Depth: 0=none, N=levels, -1=all.
search(query: str, limit?: int = 20, include_attachments?: bool, status_filter?: status_str)FTS5 search. Supports phrases, prefix*, AND/OR/NOT, title:word.
rename(worker_id: worker_str, task: task_str, new_id: task_str)Atomically rename a task ID across all referencing tables.

Task Claiming

ToolDescription
claim(worker_id: worker_str, task: task_str, force?: bool)Claim a task. Fails if deps unsatisfied, at limit, or lacks tags. Use force to steal.

Note: Release via update(status="pending"). Complete via update(status="completed"). Status changes auto-manage ownership.

Dependencies

ToolDescription
link(from: task_str|task_str[], to: task_str|task_str[], type?: dep_str = "blocks")Create dependencies. Types: blocks, follows, contains, duplicate, see-also, relates-to.
unlink(from: task_str|"*", to: task_str|"*", type?: dep_str)Remove dependencies. Use * as wildcard.
relink(prev_from: task_str[], prev_to: task_str[], from: task_str[], to: task_str[], type?: dep_str = "contains")Atomically move dependencies (unlink then link).

Tracking

ToolDescription
thinking(worker_id: worker_str, thought: str, tasks?: task_str[])Broadcast live status. Visible to other workers. Refreshes heartbeat.
task_history(task: task_str, states?: status_str[])Get status transition history with time tracking.
project_history(from?: datetime_str, to?: datetime_str, states?: status_str[], limit?: int = 100)Project-wide history with date range filters.
log_metrics(worker_id: worker_str, task: task_str, cost_usd?: float, values?: int[8])Log metrics (aggregated).
get_metrics(task: task_str|task_str[])Get metrics for task(s).
give_feedback(message: str, category?: str, sentiment?: str, agent_id?: str, tool_name?: str, task_id?: str)Record feedback about tools, workflows, or UX. Enabled by default; rejects writes past size limit (default: 1MB).
list_feedback()Read the feedback markdown file.

File Coordination

ToolDescription
mark_file(worker_id: worker_str, file: filename|filename[], task?: task_str, reason?: str)Mark file(s) to signal intent. Advisory, non-blocking.
unmark_file(worker_id: worker_str, file?: filename|filename[]|"*", task?: task_str, reason?: str)Remove marks. Use * for all.
list_marks(files?: filename[], worker_id?: worker_str, task?: task_str)Get current file marks.
mark_updates(worker_id: worker_str)Poll for mark changes since last call.

Attachments

ToolDescription
attach(task: task_str|task_str[], name: str, content?: str, mime?: mime_str, file?: filename, store_as_file?: bool, mode?: str)Add attachment. Use file for reference, store_as_file for media storage.
attachments(task: task_str, name?: str, mime?: mime_str)Get attachment metadata. Glob patterns supported for name.
detach(worker_id: worker_str, task: task_str, name: str, delete_file?: bool)Delete attachment by name.

Advanced

ToolDescription
check_gates(task: task_str)Check gate requirements before status/phase transition. Returns unsatisfied gates with pass/warn/fail status.
get_advisory(topic?: str, task?: task_str, worker_id?: worker_str)Get governance advisory guidance. Without topic: lists all topics. With topic: returns full advisory content with template expansion.
query(sql: str, params?: str[], limit?: int = 100, format?: str)Execute read-only SQL. SELECT only. Requires permission.
get_schema(table?: str, include_sql?: bool)Get database schema. Returns table names, columns, types, and foreign keys.
get_prompts(status?: str, phase?: str, task?: task_str, worker_id?: worker_str)Get workflow prompts. Without params: lists triggers. With status/phase: returns expanded prompts for that transition.
list_workflows()List available workflow configurations (solo, swarm, relay, hierarchical, etc.).
list_skills()List available bundled skills with descriptions.
get_skill(name: str)Get full content of a bundled skill.

MCP Resources

URIDescription
query://tasks/allFull task graph with dependencies
query://tasks/readyTasks ready to claim
query://tasks/blockedTasks blocked by dependencies
query://tasks/claimedAll claimed tasks
query://tasks/agent/{id}Tasks owned by an agent
query://tasks/tree/{id}Task with all descendants
query://files/marksAll file marks
query://agents/allRegistered agents
query://stats/summaryAggregate statistics
config://currentAll configuration in one response
config://statesTask state definitions
config://phasesPhase definitions
config://dependenciesDependency type definitions
config://tagsTag definitions
docs://indexList all available documentation files
docs://search/{query}Full-text search across documentation
docs://skills/listList available skills
docs://skills/{name}Get specific skill content
docs://workflows/listList available workflows
docs://workflows/{name}Get workflow details
docs://overlays/listList available overlays
docs://overlays/{name}Get overlay details
docs://{path}Specific documentation file content

Task Tree Structure

Create hierarchical tasks with create_tree:

{
  "tree": {
    "title": "Implement auth",
    "children": [
      { "title": "Design schema" },
      { "title": "Write migrations" },
      { "title": "Implement endpoints", "children": [
        { "title": "Login endpoint" },
        { "title": "Logout endpoint" },
        { "title": "Refresh endpoint" }
      ]},
      { "title": "Write tests" }
    ]
  },
  "sibling_type": "follows"
}

Tree Node Fields

FieldDescription
titleTask title (required for new tasks)
descriptionTask description
idCustom task ID (UUID7 generated if omitted)
refReference existing task by ID (other fields ignored when set)
priorityPriority 0-10 (default 5)
pointsStory points / complexity estimate
time_estimate_msEstimated duration in milliseconds
tagsCategorization tags for the task
needed_tagsAgent must have ALL of these tags to claim (AND)
wanted_tagsAgent must have AT LEAST ONE of these tags to claim (OR)
childrenNested child nodes

Top-Level Parameters

ParameterDefaultDescription
treerequiredRoot node of the task tree
parentnullAttach tree root to existing parent task
child_type"contains"Dependency type from parent to children
sibling_typenullDependency type between siblings ("follows" for sequential, null for parallel)

Referencing Existing Tasks

Use ref to integrate existing tasks into a tree structure:

{
  "tree": {
    "title": "Sprint 5",
    "children": [
      { "title": "New feature" },
      { "ref": "existing-task-id" },
      { "title": "Another task" }
    ]
  },
  "sibling_type": "follows"
}

Tag-Based Affinity

Workers declare capabilities via tags when connecting. Tasks can require specific tags to control which workers can claim them.

Example tag categories:

  • Model capabilities: image-in, audio-out, video-in, code, bulk
  • Access levels: prod-access, admin, external
  • Specializations: rust, python, frontend, database

Note: Roles like coordinator/reviewer/deployer are better represented using phases.

Task requirements:

  • needed_tags (AND): Agent must have ALL of these
  • wanted_tags (OR): Agent must have AT LEAST ONE
{
  "title": "Analyze screenshot and generate code",
  "needed_tags": ["image-in", "code"],
  "wanted_tags": ["bulk"]
}
{
  "title": "Deploy to production",
  "phase": "deploy",
  "needed_tags": ["prod-access"],
  "wanted_tags": ["aws", "gcp"]
}

Workflows and Phases

Phases

Tasks can have a phase to categorize the type of work being performed:

{
  "title": "Add authentication",
  "phase": "implement"
}

Built-in phases: explore, implement, review, test, security, deploy, triage, diagnose, design, plan, doc, integrate, monitor, optimize

Phases enable:

  • Transition prompts — Automatic guidance when entering/exiting phases
  • Gates — Requirements that must be satisfied before phase transitions
  • Role-based routing — In relay workflows, specialists own specific phases

Named Workflows

Pre-built workflow topologies optimize for different coordination patterns:

WorkflowDescriptionBest For
soloSingle agent, full autonomySimple tasks, prototyping
swarmParallel generalists, pull-basedHigh throughput, independent tasks
relaySequential specialists, handoffsComplex tasks, domain expertise
hierarchicalLead/worker delegationLarge projects, team coordination
pushPush-based task distribution topologyCentralized assignment, load balancing
kanbanBoard-style task management with WIP limitsContinuous flow, visual tracking
sprintTime-boxed iteration planningScrum teams, fixed cadence

Select a workflow on connect:

connect(worker_id="agent-1", workflow="swarm")

Each workflow provides tailored prompts and coordination guidance. See WORKFLOW_TOPOLOGIES.md for detailed patterns.

Transition Prompts

Agents receive automatic guidance when status or phase changes:

# workflows.yaml
states:
  working:
    prompts:
      enter: |
        You are now working on this task.
        From {{current_status}} you can transition to: {{valid_exits}}
      exit: |
        Before leaving:
        - [ ] Attach results
        - [ ] Log costs

Prompts support template variables: {{current_status}}, {{valid_exits}}, {{current_phase}}, {{valid_phases}}

Gates

Gates are requirements that must be satisfied before status or phase transitions:

gates:
  status:working:
    - type: gate/tests
      enforcement: warn
      description: "Tests must pass"

Satisfy a gate by attaching evidence:

attach(task="123", type="gate/tests", content="All tests passing")

Enforcement levels: allow (advisory), warn (blocks unless force=true), reject (hard block)

File Coordination

Agents can coordinate file edits using advisory marks with change tracking:

Worker A: connect() -> "worker-a"
Worker A: mark_file("worker-a", "src/main.rs", "refactoring")
Worker B: connect() -> "worker-b"
Worker B: mark_updates("worker-b") -> sees worker-a's mark
Worker A: unmark_file("worker-a", "src/main.rs", "ready for review")
Worker B: mark_updates("worker-b") -> sees removal with reason
Worker B: mark_file("worker-b", "src/main.rs", "adding tests")

Architecture

┌─────────────┐     ┌─────────────┐     ┌─────────────┐
│  Agent A    │     │  Agent B    │     │  Agent C    │
│  (Claude)   │     │  (GPT-4)    │     │  (Worker)   │
└──────┬──────┘     └──────┬──────┘     └──────┬──────┘
       │ stdio             │ stdio             │ stdio
       ▼                   ▼                   ▼
┌─────────────┐     ┌─────────────┐     ┌─────────────┐
│ task-graph  │     │ task-graph  │     │ task-graph  │
│    MCP      │     │    MCP      │     │    MCP      │
└──────┬──────┘     └──────┬──────┘     └──────┬──────┘
       │                   │                   │
       └───────────────────┼───────────────────┘
                           ▼
                  ┌─────────────────┐
                  │   SQLite + WAL  │
                  │  .task-graph/   │
                  │    tasks.db     │
                  └─────────────────┘
  • Transport: Stdio — each worker spawns its own server process
  • Database: SQLite with WAL mode for concurrent access across processes
  • Deployment: Single binary, no external dependencies, works offline

Compared to Alternatives

Task GraphLinear task listsCustom databases
Workflow phases✓ Built-in with prompts✗ Manual trackingDIY
Quality gates✓ Configurable enforcement✗DIY
Multi-agent safe✓ Atomic claims, file locks✗ Race conditionsMaybe, DIY
Dependency tracking✓ DAG with cycle detection✗ Manual orderingDIY
MCP native✓ First-class✗ Wrapper needed✗ Wrapper needed
Token accounting✓ Built-in✗DIY
Setup requiredNoneNoneDatabase server

Documentation

DocumentDescription
CONFIGURATION.mdComplete configuration reference (config.yaml, workflows, prompts, gates, tags)
SCHEMA.mdDatabase schema and state machine documentation
DESIGN.mdArchitecture and design decisions
WORKFLOW_TOPOLOGIES.mdMulti-agent workflow patterns (solo, swarm, relay, hierarchical)
EXPORT_IMPORT.mdData export and import functionality
PROCESSES.mdRelease process, changelog maintenance
GATES.mdWorkflow gate conditions and enforcement
METRICS.mdExperiment metrics definitions and SQL examples

License

Apache 2.0


Built for AI agents that need structured workflows and reliable coordination.

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Categories
AI & LLM ToolsProductivity & Office
Registryactive
Packagehttps://github.com/Oortonaut/task-graph-mcp/releases/download/v0.3.0/task-graph-mcp-x86_64-unknown-linux-gnu.mcpb
TransportSTDIO
UpdatedJan 31, 2026
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Llm Orchestration Agent

io.github.mikerawsonnz/llm-orchestration-agent

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Authenticated Llm Agent

io.github.mikerawsonnz/authenticated-llm-agent

JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.
Copilot Memory MCP

labforgedev/copilot-memory-mcp

Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
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Agent Prompt Injection Firewall Mcp

csoai-org/agent-prompt-injection-firewall-mcp

The WAF for agents. Pattern-based + heuristic firewall scans prompts, RAG documents, tool argume...
Authenticated Multi Llm Agent

io.github.mikerawsonnz/authenticated-multi-llm-agent

Google-OAuth-gated LLM gateway: verify a Google ID token, then run a Gemini (Vertex AI) completion f