mcp_agent

@jameshung2015

About mcp_agent

public server for mcp

Config

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

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

Tools

No tools detected

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

FAQ from GitHub Stars MCP Server

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.

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.

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.

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.

Frequently asked questions

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.

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.

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.

What are the known limitations of this server?

Comments

Basic information

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