Convert any GitHub repo to MCP server - automatic tool generation API wrap
{
"mcpServers": {
"io-github-nirholas-github-to-mcp": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Give Claude, ChatGPT, Cursor, Windsurf, Cline, and any AI assistant instant access to any codebase.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 10 days ago. 22 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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Persistent memory using a knowledge graph
Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.
Pre-build reality check. Scans GitHub, HN, npm, PyPI, Product Hunt — returns 0-100 signal.
Monitor browser logs directly from Cursor and other MCP compatible IDEs.
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Convert any GitHub repository into an MCP server in seconds
Give Claude, ChatGPT, Cursor, Windsurf, Cline, and any AI assistant instant access to any codebase.
🌐 Web App • 🚀 Quick Start • ✨ Features • 📖 Docs
GitHub to MCP bridges the gap between code repositories and AI assistants. Instead of manually describing APIs or copying code snippets into chat windows, this tool generates a standardized interface that allows AI systems to programmatically explore, read, and interact with any GitHub repository.
The generated MCP servers provide tools that AI assistants can invoke to read files, search code, list directory structures, and call API endpoints discovered within the repository. This enables AI assistants to have deep, structured access to codebases without requiring manual context management.
┌─────────────────────────────────────────────────────────────┐
│ GitHub Repository │
└─────────────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────┐
│ 1. Fetch & Classify → Detect repo type (API/CLI/Lib) │
│ 2. Extract Tools → OpenAPI, GraphQL, Code, README │
│ 3. Generate Server → TypeScript or Python MCP server │
│ 4. Bundle Output → Complete package with dependencies │
└─────────────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────┐
│ Ready-to-use MCP Server + Config │
└─────────────────────────────────────────────────────────────┘
The Model Context Protocol (MCP) is an open standard developed by Anthropic that defines how AI assistants communicate with external tools and data sources. MCP servers expose "tools" that AI models can invoke, along with "resources" that provide context and "prompts" that guide interactions.
When you connect an MCP server to an AI assistant like Claude Desktop, the assistant gains the ability to call the tools defined by that server. For example, a GitHub MCP server might expose tools like read_file, search_code, or list_pull_requests, which the AI can invoke to gather