GitHub MCP Server
Repository analysis, issues, pull requests, and code structure exploration
š GitHub MCP ā AI Code & Repo Analytics
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from $2.00 / 1,000 results
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š GitHub MCP ā AI Code & Repo Analytics
nexgendata/github-mcp-server
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MCP server for AI agents to search repos, analyze code & track dev trends on GitHub. Connect Claude, GPT or any AI to GitHub data. 4 tools for developer intelligence.
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Stephan Corbeil
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1
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2 days ago
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GitHub Repository Analytics MCP Server by nexgendata
Connect AI agents to structured GitHub repository data through the Model Context Protocol. This MCP server gives LLM-powered applications direct access to GitHub repository tools, returning clean JSON that agents can reason about and act on.
What This MCP Server Does
This MCP (Model Context Protocol) server exposes GitHub repository data tools that AI assistants like Claude, ChatGPT, and custom LLM agents can call directly. Instead of building API integrations or writing scraping code, any MCP-compatible AI system can access structured GitHub repository data through natural language requests. The server handles authentication, rate limiting, data extraction, and response formatting automatically.
Who Uses This
AI developers building agents that need access to GitHub repository data. Companies integrating real-time data into their LLM-powered products. Research teams using AI assistants for automated data gathering. Automation platforms connecting AI agents to structured data sources. Anyone building on top of the Model Context Protocol ecosystem.
How It Works
Deploy this MCP server on Apify and connect it to any MCP-compatible client. The server exposes a set of tools that accept structured parameters and return clean JSON responses. AI agents can discover available tools, understand their parameters, and call them as part of multi-step reasoning chains. The server runs on Apify infrastructure with built-in proxy support, caching, and error handling.
Available Tools
The server provides tools for analyzing repository metrics, tracking star/fork growth, monitoring issue trends, and evaluating contributor activity. Each tool accepts specific parameters, handles the underlying data extraction, and returns structured JSON that AI agents can parse and reason about. Tools are designed to be composable so agents can chain multiple calls together for complex data gathering workflows.
Pricing
This MCP server uses pay-per-event pricing. Each tool call that returns data counts as one event. Pricing is consistent with the underlying data actors at $3 per 1,000 events, making it cost-effective to integrate into production AI agent workflows.
Getting Started
Deploy the MCP server from the Apify Store. Configure your MCP client (Claude Desktop, custom agent, etc.) with the server endpoint URL. The server auto-discovers available tools and exposes them to your AI system. No additional configuration needed.
FAQ
**Is this compatible with Claude Desktop?**Yes. Any MCP-compatible client can connect to this server, including Claude Desktop, custom LLM agents, and automation platforms that support the Model Context Protocol.
**Do I need separate API keys?**No. The server handles all data access internally through Apify infrastructure. You only need your Apify API token to deploy and connect.
**Can I use this in production?**Yes. The server runs on Apify's scalable infrastructure with built-in monitoring, logging, and error handling suitable for production workloads.
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