What GitHub operations does this MCP server support?

The server provides structured access to pull requests, issues, and GitHub Actions. It's designed to return token-efficient output, making it suitable for AI-driven workflows that need to minimize API overhead.

How do I install and set up the GitHub MCP server?

Install via npm with `npx @paretools/github@0.7.1`. You'll need to configure authentication credentials (typically a GitHub token) as environment variables to connect to your repositories.

Does this server require a GitHub API token?

Yes, the server requires GitHub authentication to function. Check the environment variables documentation for the specific token format and scopes needed for your use case.

Is this server suitable for high-volume automation?

The server is designed with token-efficient output, which helps reduce API costs and response sizes. However, you should review GitHub's rate limits and the server's batching capabilities for your specific automation needs.

Can I use this to automate CI/CD workflows?

Yes, the server supports GitHub Actions operations, allowing you to query and potentially trigger workflow runs. Refer to the documentation for details on which Actions operations are available and any required permissions.

MCP ServerSTDIOOfficialv0.7.1

Dave London Github MCP Server

Manage GitHub pull requests, issues, and actions programmatically through an MCP server. Built for developers who need token-efficient, structured access to GitHub operations in their AI workflows.

io.github.Dave-London/github

Try MCP with AI models View source

Hosted URL

Local install

Transport

STDIO

Auth

No auth required

What the Dave London Github MCP server does

How models use it and what it is built for.

Manage GitHub pull requests, issues, and actions programmatically through an MCP server. Built for developers who need token-efficient, structured access to GitHub operations in their AI workflows.

Connect to Dave London Github

Local install — runs as a subprocess.

npx @paretools/github@0.7.1

Resources

Where to find authoritative docs and source for Dave London Github.

Source repository

Example prompts for Dave London Github

Paste any of these into Agent Studio after connecting Dave London Github.

List all open pull requests in my repository with their review status
Create a new GitHub issue with labels and assign it to a team member
Check the status of the latest GitHub Actions workflow run
Query recent issues filtered by label and sort by creation date

Dave London Github MCP server — FAQ

Common questions about connecting and running Dave London Github.

What GitHub operations does this MCP server support?
The server provides structured access to pull requests, issues, and GitHub Actions. It's designed to return token-efficient output, making it suitable for AI-driven workflows that need to minimize API overhead.
How do I install and set up the GitHub MCP server?
Install via npm with `npx @paretools/github@0.7.1`. You'll need to configure authentication credentials (typically a GitHub token) as environment variables to connect to your repositories.
Does this server require a GitHub API token?
Yes, the server requires GitHub authentication to function. Check the environment variables documentation for the specific token format and scopes needed for your use case.
Is this server suitable for high-volume automation?
The server is designed with token-efficient output, which helps reduce API costs and response sizes. However, you should review GitHub's rate limits and the server's batching capabilities for your specific automation needs.
Can I use this to automate CI/CD workflows?
Yes, the server supports GitHub Actions operations, allowing you to query and potentially trigger workflow runs. Refer to the documentation for details on which Actions operations are available and any required permissions.

Skip the local setup — run MCP in your browser

MCP Playground runs 10,000+ hosted MCP servers — GitHub, Linear, Notion, Stripe, Sentry and more — across Claude, GPT, Gemini, DeepSeek and 60+ AI models. Compare model answers side-by-side, save agent presets, share runs. Zero install.

Open Agent Studio