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MCP Agent

@jameshung2015

Repository

Basic information

Category

AI & Agents

License

MIT

Transports

stdio

Author

jameshung2015

About MCP Agent

public server for mcp

#mcp-agent#public-server#mcp

MCP Agent config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp_agent": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-e",
        "."
      ]
    }
  }
}

MCP Agent tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is GitHub Stars MCP Server?

GitHub Stars MCP Server is a Model Context Protocol (MCP) server that analyzes GitHub users' starred repositories. It provides tools to list, analyze, search, and filter a user's starred projects, helping developers and AI assistants understand a user's interests and discover relevant open-source projects.

How to use GitHub Stars MCP Server?

Install with Python 3.10+ using uv pip install -e . or pip install -e .. Configure a GitHub Personal Access Token (optional but recommended) via the GITHUB_TOKEN environment variable. Run as an MCP server by adding it to a client's mcpServers configuration (e.g., in Claude Desktop) with command python -m github_stars_mcp or uv run python -m github_stars_mcp. Alternatively, run directly with python -m github_stars_mcp.

Key features of GitHub Stars MCP Server

  • get_starred_repos – list starred repos with details
  • analyze_starred_repos – full statistical analysis of starred repos
  • search_starred_repos – search within repo names, descriptions, and topics
  • filter_starred_repos – filter by language, topic, min stars, archived status
  • Optional GitHub token raises API rate limit from 60 to 5000 requests/hour

Use cases of GitHub Stars MCP Server

  • Discover a developer's technology interests through their starred projects
  • Quickly find high-quality repos in a user's stars by filtering by language or stars
  • Search for repos related to a specific topic (e.g., "machine learning") within a user's stars
  • Analyze a user's star patterns to generate statistics like language distribution and top projects

Frequently asked questions

1

What dependencies and runtime are required?

Python 3.10 or higher is required. Install dependencies using `uv` (recommended) or `pip`. A GitHub Personal Access Token is optional but recommended to avoid rate limiting.

2

How does GitHub Stars MCP Server handle authentication and rate limits?

The server uses the GitHub REST API v3. Without a token, requests are limited to 60 per hour. With a GitHub token set via the `GITHUB_TOKEN` environment variable, the limit increases to 5000 requests per hour.

3

What data does the server access and where does it live?

The server fetches starred repository data from the GitHub API (`GET https://api.github.com/users/{username}/starred`). No data is stored locally; all requests are made live to GitHub.

4

What are the known limitations of this server?

API rate limits apply (60/hour without token, 5000/hour with token). If a username does not exist or their starred repos are private, the server will return an error. Network connectivity to `api.github.com` is required.

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