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skillfinder-mcp

skillfinder-mcp

by Chin-mae

SkillFinder MCP

SkillFinder MCP is an MCP (Model Context Protocol) server that provides on-demand skill discovery for AI coding agents.

Instead of loading a full skill library into context up front, it lets an agent query only what is relevant, pulls skills from GitHub, and returns full SKILL.md content for immediate use.

On startup, the server hydrates from local cache immediately (if present), then checks upstream SHA in the background and refreshes automatically when needed.

During package installation, SkillFinder also attempts a one-time cache prewarm so the first MCP query is faster.

Why Use It

  • Reduces context bloat by loading only relevant skills.

  • Uses fast local BM25 ranking over skill metadata.

  • Auto-syncs from the upstream repository when content changes.

  • Runs over stdio with no database, embeddings, or external service.

Related MCP server: skillsmp-mcp-server

Features

  • Fast BM25 search over skill name, description, and tags.

  • Immediate cache hydration with background SHA validation.

  • Duplicate skill handling with preference for canonical skills/ paths.

  • Local disk cache for fast warm starts.

  • Automatic zip-archive fallback when GitHub API is unavailable/rate-limited.

Tools Exposed

  1. search_skills(query: string, limit?: number) Returns the most relevant skills and full SKILL.md content.

  2. refresh_index() Forces a full index rebuild from GitHub (bypasses cache check).

Installation and Usage

SkillFinder MCP runs via stdio and is typically launched with npx.

Claude Desktop

Config file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%\Claude\claude_desktop_config.json

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

Cursor

In Cursor: Features -> MCP Servers -> Add New MCP Server

  • Type: command

  • Name: skillfinder

  • Command: npx -y skillfinder-mcp

Claude Code

claude mcp add skillfinder -- npx -y skillfinder-mcp

Configuration

Set optional environment variables in your MCP server config:

Variable

Description

Default

SKILLFINDER_REPO

GitHub repository containing skills (owner/repo)

sickn33/antigravity-awesome-skills

SKILLFINDER_RESULTS

Default number of search results (1-10)

3

SKILLFINDER_GITHUB_TOKEN

Optional GitHub token to increase API limit

None

SKILLFINDER_FETCH_CONCURRENCY

Parallel raw file fetch count during full index build (1-40)

40

SKILLFINDER_HTTP_TIMEOUT_MS

Per-request timeout in milliseconds (1000-60000)

15000

SKILLFINDER_PREWARM_ON_INSTALL

Enable/disable install-time cache prewarm (1/0, true/false)

Enabled

Local Development

npm install
npm run build
npm start

Run the automated test suite:

npm test

Run integration test:

node test-run.mjs

Operational Notes

  • Cache location:

    • macOS: ~/Library/Caches/skillfinder-mcp/index.json

    • Linux: $XDG_CACHE_HOME/skillfinder-mcp/index.json (or ~/.cache/...)

    • Windows: %LOCALAPPDATA%\skillfinder-mcp\index.json

  • If GitHub is temporarily unavailable, stale cache is used when present.

  • Install-time prewarm does not fail installation if GitHub is unavailable.

  • First run can take longer due to full index fetch (often 10-30s depending on network).

  • Warm starts are typically near-instant because results are served from cache.

License

MIT. See LICENSE.

Available Tools

2 tools
refresh_indexA

Force a full re-fetch of the skill index from GitHub, bypassing the cache. Use this if you know the upstream skill repo was recently updated.

Inputs: no named parameters.

search_skillsA

Search the skill library for skills relevant to your current task. Pass a natural language description of what you're working on and get back the most relevant skill documents with full content. Call this BEFORE starting any coding task to get specialized guidance.

Inputs: query (required), limit.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A4.4/5.0

    Scored across 2 tools

    Disambiguation5/5

    search_skills and refresh_index serve clearly different purposes—one retrieves relevant skill documents, the other updates the underlying index. There is no overlap or ambiguity between them.

    Naming Consistency5/5

    Both tool names follow a consistent verb_noun snake_case pattern (search_skills, refresh_index). The verbs clearly describe the action and the nouns identify the target.

    Tool Count4/5

    Two tools is slightly below the typical 3-15 range, but for a focused skill-finding server the pair is logical: one core search tool and one maintenance tool. It is not thin enough to feel incomplete.

    Completeness5/5

    The domain is read-only skill discovery, and the search tool returns full skill content while refresh_index keeps the library current. No obvious operations are missing for this server's stated purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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