skill-router-mcp
Indexes installed SKILL.md files and provides deterministic search and recommendation tools to help AI agents select relevant skills without executing them.
README
Skill Router MCP
Skill Router MCP is a local, read-only router for large collections of agent skills. It indexes installed SKILL.md files, searches their metadata and workflows, reports duplicate definitions, and recommends a transparent candidate set to an AI agent.
The router does not execute skills and does not make the final choice. It returns:
- primary candidates;
- complementary skills;
- additional candidates that might otherwise be hidden by a small result limit;
- invocation mode (
automatic,manual-only, or unspecified); - matching evidence and duplicate paths.
No LLM, embedding API, account, telemetry, or network call is used for routing.
MCP tools
inventory_skills— summarizes indexed roots, invocation modes, duplicate names, and read errors.search_skills— deterministic scored search for a capability or task.recommend_skills— proposes primary, complementary, and additional candidates while leaving the decision to the agent.explain_skill— returns metadata and duplicate locations for an exact skill name.
All tools are declared read-only and idempotent.
Requirements
- Node.js 20 or newer.
- An MCP client with local stdio support, such as Cursor.
Install
npm install -g https://github.com/Agent-Nova-107/skill-router-mcp/archive/refs/heads/main.tar.gz
Add the server to Cursor's user MCP configuration:
{
"mcpServers": {
"skill-router": {
"command": "skill-router-mcp"
}
}
}
Install the optional agent skill:
npx skills add Agent-Nova-107/skill-router-mcp --global --agent cursor --yes
Copy cursor/skill-routing.mdc to ~/.cursor/rules/skill-routing.mdc if you want Cursor to consult the router automatically for ambiguous or complex tasks.
Restart Cursor after changing MCP configuration.
Indexed locations
By default the server checks:
~/.agents/skills/
~/.cursor/skills/
<current-directory>/.agents/skills/
<current-directory>/.cursor/skills/
Override this list with SKILL_ROUTER_PATHS, using the operating system's normal path separator (; on Windows, : on Unix):
$env:SKILL_ROUTER_PATHS = "C:\skills;D:\team-skills"
Symbolic links are not followed. Skill files larger than 256 KiB and traversal deeper than eight directories are rejected.
Routing model
Routing is deterministic:
- Parse YAML frontmatter and invocation metadata.
- Normalize English and French task terms.
- Score name, description, workflow text, and lifecycle intent separately.
- Collapse duplicate names while exposing every duplicate path.
- Return a broad candidate pool divided into primary, complementary, and additional sections.
Scores rank candidates; they are not probabilities or quality ratings.
Security and limitations
- Tools accept task text and skill names, not arbitrary filesystem paths.
- The server only reads the configured skill roots.
- Prompt text inside a skill is treated as searchable data, never executed.
- Keyword routing can miss semantic relationships or rank generic descriptions too highly.
- A recommendation proves relevance only, not quality, freshness, compatibility, or safety.
- The AI agent must inspect the task, codebase, and selected skill before acting.
Development
npm ci
npm run check
npm test
npm run build
To smoke-test the stdio server with the MCP Inspector:
npx @modelcontextprotocol/inspector node dist/index.js
License
MIT
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