A Model Context Protocol (MCP) server for managing GitHub Projects
If you want an AI assistant working directly with MCP, the mcp mcp server is the bridge. A Model Context Protocol (MCP) server for managing GitHub Projects.
A comprehensive Model Context Protocol (MCP) server that provides advanced GitHub project management capabilities with AI-powered task management and complete requirements traceability. Transform your project ideas into actionable tasks with full end-to-end tracking from business requirements to implementation.
This server implements the Model Context Protocol to provide comprehensive GitHub project management with advanced AI capabilities. Beyond traditional project management, it offers AI-powered task generation, requirements traceability, and intelligent project planning through GitHub's GraphQL API while maintaining state and handling errors according to MCP specifications.
Once connected, the assistant can call these 2 tools directly:
OpenAI — 1. Sign up at OpenAI Platform 2. Create an API key 3. Set OPENAI_API_KEY in your environmentPerplexity — 1. Sign up at Perplexity API 2. Create an API key 3. Set PERPLEXITY_API_KEY in your environmentThe server is distributed via npm as mcp-github-project-manager, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Before the server will start you need to supply 7 environment variables: GITHUB_TOKEN, GITHUB_OWNER, GITHUB_REPO, ANTHROPIC_API_KEY, OPENAI_API_KEY, GOOGLE_API_KEY, PERPLEXITY_API_KEY. Keep credentials in your client's env block or a secrets manager rather than committing them.
## Where it fits
AI-service servers chain other models into your assistant, turning a single chat into a small production pipeline. MCP sits in that group, and the shape of its toolset — `OpenAI`, `Perplexity` — tells you what it is really for. Worth comparing against the other ai services servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
### Practical notes
- This server runs locally, so it operates with whatever access your machine and its credentials already have. Scope that deliberately rather than by default.
- It will not start until its required credentials are present, so set those before wondering why the tools never appear.
- Maintained by HarshKumarSharma, written in TypeScript.
- MCP clients ask for confirmation before each tool call by default. Keep that on while you learn what the mcp mcp server actually does with your data.
- Every entry in this directory is reviewed by hand before it goes live, and details are checked against the project's own documentation.
| Tool | What it does |
|---|---|
| OpenAI | 1. Sign up at [OpenAI Platform](https://platform.openai.com/) 2. Create an API key 3. Set OPENAI_API_KEY in your environment |
| Perplexity | 1. Sign up at [Perplexity API](https://www.perplexity.ai/settings/api) 2. Create an API key 3. Set PERPLEXITY_API_KEY in your environment |
{
"mcpServers": {
"github-project-manager": {
"command": "npx",
"args": ["-y", "mcp-github-project-manager"],
"env": {
"GITHUB_TOKEN": "your_github_token",
"GITHUB_OWNER": "your_username",
"GITHUB_REPO": "your_repo",
"ANTHROPIC_API_KEY": "your_anthropic_api_key",
"OPENAI_API_KEY": "your_openai_api_key",
"GOOGLE_API_KEY": "your_google_api_key",
"PERPLEXITY_API_KEY": "your_perplexity_api_key"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| GITHUB_TOKEN | Credential the server authenticates with. | Yes |
| GITHUB_OWNER | Configuration value read at startup. | Optional |
| GITHUB_REPO | Configuration value read at startup. | Optional |
| ANTHROPIC_API_KEY | Credential the server authenticates with. | Yes |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| GOOGLE_API_KEY | Credential the server authenticates with. | Yes |
| PERPLEXITY_API_KEY | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.