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TokRepo — AI Asset Registry

henu-wang/tokrepo-mcp-server
5 toolsSTDIOregistry active
Summary

Think of this as a package manager specifically for AI assets: prompts, skills, MCP configs, and scripts that agents can discover and install during tasks. It exposes 20+ tools covering the full lifecycle, from tokrepo_discover (turn a capability gap into ranked candidates with verification evidence) through tokrepo_install_plan and tokrepo_codex_install (safe, policy-checked installs with rollback) to tokrepo_harvest (package local work for reuse after a task). The trust model is thorough: content hashes, SBOM-lite, signature evidence, policy gates, and trust scores before anything touches disk. Useful when you want agents to pull vetted building blocks instead of reinventing boilerplate, or when you want to capture and share reusable artifacts from a session. Pairs with tokrepo init-agent to embed discovery hints in AGENTS.md and tool configs so future agents know to call it during planning.

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Tools

Public tool metadata for what this MCP can expose to an agent.

5 tools
tokrepo_discoverPlanning-time capability discovery for agents. Call during autonomous planning before inventing local one-off skills, scripts, prompts, MCP configs, or workflows.5 params

Planning-time capability discovery for agents. Call during autonomous planning before inventing local one-off skills, scripts, prompts, MCP configs, or workflows.

Parameters* required
taskstring
The user goal, subtask, or capability gap.
limitnumber
default: 6
targetstring
Use any or all for cross-agent discovery.one of any · all · codex · claude_code · gemini_cli · cursordefault: any
constraintsobject
environmentobject
tokrepo_searchSearch TokRepo assets by query, kind, target, and policy. Use as a lower-level fallback after tokrepo_discover.5 params

Search TokRepo assets by query, kind, target, and policy. Use as a lower-level fallback after tokrepo_discover.

Parameters* required
kindstring
limitnumber
default: 10
querystring
policystring
one of allow · confirm · stage_only · deny
targetstring
Use any or all for cross-agent discovery.one of any · all · codex · claude_code · gemini_cli · cursordefault: any
tokrepo_detailRead full TokRepo asset detail and metadata by UUID.1 params

Read full TokRepo asset detail and metadata by UUID.

Parameters* required
uuidstring
tokrepo_verifyVerify asset trust, content hash, install-plan shape, permissions, policy decision, trust_score_v2, blockers, and warnings before activation.3 params

Verify asset trust, content hash, install-plan shape, permissions, policy decision, trust_score_v2, blockers, and warnings before activation.

Parameters* required
uuidstring
strictboolean
default: false
targetstring
one of codexdefault: codex
tokrepo_install_planReturn the typed install plan for an asset before any write. Includes preconditions, actions, risk profile, policy, rollback, post-verify, trust, and provenance when available.2 params

Return the typed install plan for an asset before any write. Includes preconditions, actions, risk profile, policy, rollback, post-verify, trust, and provenance when available.

Parameters* required
uuidstring
targetstring
one of codexdefault: codex

TokRepo MCP Server

Agent-native MCP server for TokRepo: session bootstrap, capability discovery, search/detail, trust verification, install planning, Codex staging, lifecycle inspection/update/uninstall/rollback, handoff/harvest planning, and human-confirmed publishing of reusable AI assets.

npm License: MIT

Quick Start

Claude Code

claude mcp add tokrepo -- npx -y tokrepo-mcp-server

Cursor / Windsurf

Add to your MCP config (~/.cursor/mcp.json):

{
  "mcpServers": {
    "tokrepo": {
      "command": "npx",
      "args": ["-y", "tokrepo-mcp-server"]
    }
  }
}

OpenAI Codex / Gemini CLI

codex mcp add tokrepo -- npx -y tokrepo-mcp-server
gemini settings mcp add tokrepo -- npx -y tokrepo-mcp-server

What It Does

Once connected, your AI assistant can:

  • Discover during planning — turn a task or capability gap into structured candidate skills, prompts, MCP configs, scripts, and workflows
  • Resolve capability gaps — select a candidate with verification evidence, install plan, lifecycle contract, next MCP calls, and CLI fallbacks before local build
  • Search public AI assets by keyword or category with agent fit signals
  • Browse trending assets, filter by type (MCP, Skill, Prompt, Agent, Script)
  • Get details — full documentation, install instructions, and metadata
  • Verify trust — read-only content hash, install plan hash, permission envelope, policy, trust_score_v2, evidence_bundle, SBOM-lite, signature_evidence, blockers, and warnings
  • Plan before install — get install plan v2 with policy decisions, rollback, verification, evidence_bundle, SBOM-lite, and signature_evidence
  • Safe Codex install — dry-run by default; risky assets must be staged or explicitly approved
  • Lifecycle control — list, update, uninstall, and roll back managed Codex installs
  • Post-task harvest — inspect changed or explicit local files with tokrepo_harvest before any push, including private package drafts, quality_gate, package manifest, SBOM-lite, and provenance
  • Project memory — pair with tokrepo init-agent --target all so future agents know to call TokRepo during planning
  • Discovery surfaces — official MCP server.json, A2A agent card, portable agent manifest, tool catalog, .well-known, agents.txt, llms.txt, and npm metadata are kept machine-readable for agents and registries
  • Funnel visibility — anonymous aggregate events show whether agents actually discover, plan, install, hand off, and push reusable assets

Available Tools

ToolDescription
tokrepo_session_initSession bootstrap with high-trust assets, project memory pointer, recent handoffs, and policy pack URL
tokrepo_discoverPlanning-time capability discovery from a task, environment, and constraints
tokrepo_find_for_taskAtomic find action for a concrete task; returns ranked assets, match reasons, install command, and URL
tokrepo_resolve_capabilityResolve a capability gap into a selected asset, verification evidence, install plan, lifecycle contract, next MCP calls, and CLI fallbacks
tokrepo_searchSearch assets by keyword/tag with agent_fit ranking
tokrepo_detailGet full asset details by UUID
tokrepo_edgesInspect requires, extends, and co-used asset graph edges before planning installs
tokrepo_install_planGet agent-native install plan v2 with rollback, evidence_bundle, SBOM-lite, and signature_evidence
tokrepo_verifyVerify trust, hashes, permissions, policy, evidence_bundle, SBOM-lite, and signature_evidence before activation
tokrepo_codex_installDry-run, stage, or install a Codex skill safely
tokrepo_installedList TokRepo-managed Codex installs
tokrepo_updateDry-run or update managed Codex installs
tokrepo_uninstallDry-run or remove a managed Codex install
tokrepo_rollbackDry-run or roll back a prior Codex install session
tokrepo_handoff_planRead-only packaging plan with quality_gate and package manifest for reusable local work after a task
tokrepo_harvestRead-only package draft generator for reusable changed or explicit local files after a task
tokrepo_pushPush one explicit asset to TokRepo after user confirmation

Example Conversations

You: "Find me a good MCP server for databases"
AI: [calls tokrepo_resolve_capability] → Ranks DBHub, Supabase MCP, PostgreSQL MCP and returns verification/install-plan evidence for the selected candidate

You: "What video assets should I install?"
AI: [calls tokrepo_resolve_capability] → Finds relevant skills, checks fit, trust, and policy, then asks before installing

You: "Install that cursor rules asset"
AI: [calls tokrepo_verify] → Checks trust_score_v2, permissions, blockers, and warnings
AI: [calls tokrepo_install_plan] → Reviews policy and actions
AI: [calls tokrepo_codex_install with dry_run=false, confirm=true] → Writes only after explicit confirmation
AI: [calls tokrepo_rollback with dry_run=true] → Shows exactly what would be removed before rollback

You: "We created a reusable project rule; save it for future agents"
AI: [calls tokrepo_harvest] → Returns explicit files, hashes, quality_gate, package drafts, SBOM-lite, provenance, metadata defaults, and private-by-default push guidance
AI: [asks for confirmation before tokrepo_push] → Uploads only reviewed files

Make Future Agents Discover TokRepo

Run this once in a project:

npx tokrepo init-agent --target all

It writes managed instructions to AGENTS.md, CLAUDE.md, GEMINI.md, Cursor rules, GitHub Copilot instructions, Cline rules, Windsurf rules, Roo rules, OpenHands microagents, Aider conventions, .mcp.json, and .tokrepo/agent.json. The rule is simple: during planning, when the agent sees a capability gap, it should call tokrepo_resolve_capability or tokrepo_discover before inventing a one-off local tool. After a task, agents can call tokrepo_harvest or run tokrepo harvest --changed --json to suggest reusable files for user-confirmed private publishing.

Machine-Readable Listing

Registries and agents can discover this server through:

  • MCP server manifest: tokrepo.com/.well-known/mcp/server.json
  • TokRepo manifest: tokrepo.com/.well-known/tokrepo.json
  • Portable agent manifest: tokrepo.com/.well-known/agent.json
  • A2A agent card: tokrepo.com/.well-known/agent-card.json
  • Tool catalog: tokrepo.com/.well-known/tool-catalog.json
  • Trust manifest: tokrepo.com/.well-known/tokrepo-trust.json
  • Default agent policy pack: tokrepo.com/policy-packs/default-agent-policy.json
  • Eval evidence: tokrepo.com/evals/agent-discovery.json
  • Multi-agent compatibility: tokrepo.com/evals/multi-agent-compatibility.json
  • Agent memory schema: tokrepo.com/schemas/agent-memory.schema.json
  • Agent evidence bundle schema: tokrepo.com/schemas/agent-evidence-bundle.schema.json
  • Capability resolution schema: tokrepo.com/schemas/capability-resolution.schema.json
  • Harvest report schema: tokrepo.com/schemas/harvest-report.schema.json
  • Handoff package schema: tokrepo.com/schemas/handoff-package.schema.json
  • Agent text entry: tokrepo.com/agents.txt
  • Agent instructions: tokrepo.com/agent-instructions/tokrepo.md
  • Agent ecosystem distribution pack: tokrepo.com/agent-ecosystem.json
  • LLM crawler entry: tokrepo.com/llms.txt

Use https://tokrepo.com/agent-ecosystem.json for agent marketplace submissions, starter templates, README snippets, install guides, and example projects. It contains canonical listing copy, ecosystem channels, target project-memory files, and verification commands.

TokRepo emits anonymous aggregate funnel events for tokrepo_resolve_capability, tokrepo_discover, tokrepo_verify, tokrepo_install_plan, install dry-runs, installs, harvests, handoffs, and pushes. It does not send task text or file contents. Disable with TOKREPO_TELEMETRY=0.

Why TokRepo?

TokRepo is the open registry for AI assets — like npm for packages, but for AI skills, prompts, MCP configs, and workflows.

  • Curated assets — quality-reviewed, not a dump
  • Agent-native — every asset has machine-readable install contracts
  • Universal — works with Claude Code, Cursor, Codex, Gemini CLI, and any MCP client
  • CLI available — npx tokrepo search "query" / npx tokrepo install <uuid>

Requirements

  • Node.js >= 18
  • Internet connection (queries tokrepo.com API)

Links

  • Website: tokrepo.com
  • CLI: npm: tokrepo
  • GitHub: henu-wang/tokrepo-mcp-server
  • API: tokrepo.com/.well-known/tokrepo.json

License

MIT

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Registryactive
Packagetokrepo-mcp-server
TransportSTDIO
UpdatedMay 27, 2026
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