Github CLI MCP Server
Enables interaction with GitHub by wrapping the gh CLI into two generic tools for executing any gh command and suggesting syntax, providing structured JSON output.
README
Github CLI MCP Server
MCP server that wraps the GitHub CLI (gh) into two generic tools — similar to how aws-api-mcp-server wraps the AWS CLI.
Why?
Most GitHub MCP servers expose 25+ individual tools — one per API operation. That's a lot of tools for something the gh CLI already handles in a single binary.
aws-api-mcp-server solved this for AWS by wrapping the entire AWS CLI into one call_aws tool. This project does the same for GitHub — two tools instead of dozens:
call_gh— run anyghcommandsuggest_gh_commands— get help with syntax
No need for a dedicated tool per operation. The gh CLI already covers repos, issues, PRs, workflows, releases, and more. This just gives MCP clients a way to execute those commands directly.
Why not just use gh through a shell tool?
You can — it works. This server just cleans things up:
- Parses
ghoutput into structured JSON when possible, instead of raw terminal text - Handles timeouts so commands don't hang forever
- Includes a
suggest_gh_commandstool for when you're unsure about syntax - Shows up as a dedicated "github" capability instead of generic shell access
Same gh CLI underneath, just a smoother wrapper for MCP clients to work with.
Tools
call_gh— Execute anyghCLI command and get structured outputsuggest_gh_commands— Get command suggestions from a natural language query
Prerequisites
- GitHub CLI installed and authenticated (
gh auth login) - uv (recommended, for running with
uvx)
Installation
pip install gh-cli-mcp-server
Usage with MCP clients
{
"mcpServers": {
"github": {
"command": "uvx",
"args": ["gh-cli-mcp-server"]
}
}
}
Examples
Just ask your MCP client naturally — it'll use call_gh under the hood:
| You say | What runs |
|---|---|
| "List my repos" | gh repo list --limit 30 |
| "Show open issues on my project" | gh issue list --repo owner/repo --state open |
| "Create a PR from this branch to main" | gh pr create --title '...' --body '...' --base main |
| "What workflows does this repo have?" | gh workflow list --repo owner/repo |
| "Show me the last 5 CI runs" | gh run list --repo owner/repo --limit 5 |
| "Who am I logged in as?" | gh auth status |
If the client isn't sure which command to use, it can call suggest_gh_commands with your prompt to get suggestions first.
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.