Tiger GitHub MCP Server
Enables LLMs to interact with GitHub via the Model Context Protocol, providing tools for repository management and other GitHub operations.
README
Tiger GitHub MCP Server
A wrapper around the GitHub API to provide some focused tools to LLMs via the Model Context Protocol.
Development
Cloning and running the server locally.
git clone git@github.com:timescale/tiger-gh-mcp-server.git
Building
Run npm i to install dependencies and build the project. Use npm run watch to rebuild on changes.
You will need a GitHub token with the correct scopes. Here is a direct link to create such a new token.
Create a .env file based on the .env.sample file.
cp .env.sample .env
Then update the GITHUB_TOKEN value in .env.
VS Code Debugging
The project includes a VS Code debug profile called "Debug Github MCP" that:
- Installs dependencies (
npm i) - Builds the project (
npm run build) - Launches the server in HTTP mode with full debugging support
To use it:
- Open the project in VS Code
- Go to the Debug panel (Ctrl/Cmd + Shift + D)
- Select "Debug Github MCP" from the dropdown
- Press F5 or click the play button
Breakpoints will work properly in TypeScript source files thanks to source map support.
Testing
The MCP Inspector is a very handy to exercise the MCP server from a web-based UI.
npx @modelcontextprotocol/inspector
| Field | Value |
|---|---|
| Transport Type | STDIO |
| Command | node |
| Arguments | dist/index.js |
Testing in Claude Desktop
Create/edit the file ~/Library/Application Support/Claude/claude_desktop_config.json to add an entry like the following, making sure to use the absolute path to your local tiger-gh-mcp-server project, and use a valid GitHub token.
{
"mcpServers": {
"tiger-gh": {
"command": "node",
"args": ["/absolute/path/to/tiger-gh-mcp-server/dist/index.js", "stdio"],
"env": {
"GITHUB_TOKEN": "ghp_whatever",
"GITHUB_ORG": "timescale"
}
}
}
}
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.