skillfinder-mcp
Searches and retrieves skills from a GitHub repository, with automatic caching and background sync to keep the index up-to-date.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@skillfinder-mcpsearch for skills on React hooks"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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: suggest-skills
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
search_skills(query: string, limit?: number)Returns the most relevant skills and fullSKILL.mdcontent.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.jsonWindows:
%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:
commandName:
skillfinderCommand:
npx -y skillfinder-mcp
Claude Code
claude mcp add skillfinder -- npx -y skillfinder-mcpConfiguration
Set optional environment variables in your MCP server config:
Variable | Description | Default |
| GitHub repository containing skills ( |
|
| Default number of search results ( |
|
| Optional GitHub token to increase API limit | None |
| Parallel raw file fetch count during full index build ( |
|
| Per-request timeout in milliseconds ( |
|
| Enable/disable install-time cache prewarm ( | Enabled |
Local Development
npm install
npm run build
npm startRun the automated test suite:
npm testRun integration test:
node test-run.mjsOperational Notes
Cache location:
macOS:
~/Library/Caches/skillfinder-mcp/index.jsonLinux:
$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.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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