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github-mcp

by jayhunsu-ai
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JavaScript
Remote

github-mcp

Minimal self-hosted MCP server exposing GitHub write access as tools, so a connected Claude account can push code without a human doing git push manually each time.

Tools

Tool

What it does

get_repo

Fetch default branch, private flag, last push time

list_branches

List branches

list_directory

List files/folders at a path

get_file

Fetch a file's decoded content + blob sha

commit_files

Atomically create/update one or more files in a single commit (Git Data API: blobs → tree → commit → ref update) — use this to push a whole folder at once

Related MCP server: GitHub MCP Server

Security — read this before deploying

GITHUB_TOKEN must be set as an environment variable directly in the Manufact (or Render) dashboard's env var UI — never pasted into a chat with an AI assistant, never committed to this repo, never passed as a tool argument. The server only ever reads it from process.env. If a token was ever pasted into a chat, treat it as compromised and revoke it — generate a fresh one and set it through the dashboard directly.

Recommended token scope: fine-grained PAT, Contents: Read & write, restricted to the specific repo(s) this needs to touch. Avoid a classic/all-repo token.

Env vars

  • GITHUB_TOKEN — fine-grained PAT, Contents: Read & write, scoped to the target repo(s)

  • PORT — defaults to 8080

Local run

npm install
npm start
curl localhost:8080/api/health

Deploy

Push this repo to GitHub (first push has to be manual — bootstrapping problem, this server can't push itself into existence), then:

Manufact:deploy  (point at the repo)

Manufact builds from the Dockerfile automatically. Set GITHUB_TOKEN in Manufact's env var UI after deploying, then restart the service.

Connecting a Claude account to this server

Add as a custom connector pointing at https://<your-manufact-domain>/mcp.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

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