AI Project Explorer
Provides tools to discover and interact with GitHub repositories, retrieving project information and answering questions about software projects through the GitHub REST API.
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., "@AI Project Explorerfind trending Python projects on GitHub"
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.
AI Project Explorer
AI Project Explorer is a Python-based Model Context Protocol (MCP) server that enables AI assistants to discover and interact with GitHub repositories through standardized tools.
Instead of directly calling the GitHub API, AI clients such as Claude Desktop, Cursor, or ChatGPT can invoke MCP tools to explore repositories, retrieve project information, and answer questions about software projects.
This project demonstrates how MCP enables AI applications to interact with external systems through reusable, discoverable tools.
Why I Built This
I wanted to understand the Model Context Protocol (MCP) by building a real tool
The goal was to learn:
How MCP clients discover tools
How MCP servers expose capabilities
How AI assistants invoke external functions
How to integrate third-party APIs through MCP
The difference between local (STDIO) and remote (HTTP) MCP transports
AI Client (Claude / Cursor / ChatGPT) │ ▼ Python MCP Client │ ▼ AI Project Explorer MCP Server │ ▼ GitHub REST API │ ▼ Public GitHub Repositories
Related MCP server: Repo Radar MCP
Run The Inspector
Start the MCP Inspector with the latest Inspector package:
npm run inspectorThis runs:
npx @modelcontextprotocol/inspector@latest .venv/bin/python server.pyThis 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.
Latest Blog Posts
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MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/shravanthivr/ai-project-explorer'
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