github-webhook-mcp

Real-time GitHub webhook notifications for Claude via Cloudflare Worker + Durable Object.

Architecture

GitHub ──POST──▶ Cloudflare Worker ──▶ Durable Object (SQLite)
                                           │
                                           ├── MCP tools (Streamable HTTP)
                                           ├── WebSocket real-time stream
                                           │
                          ┌────────────────┘
                          │
     Desktop / Codex: .mcpb local bridge ──▶ polling via MCP tools
     Claude Code CLI: .mcpb local bridge ──▶ WebSocket → channel notifications

• Cloudflare Worker receives GitHub webhooks, verifies signatures, stores events in a Durable Object with SQLite.
• Local MCP bridge (.mcpb) proxies tool calls to the Worker and optionally connects via WebSocket for real-time channel notifications.
• No local webhook receiver or tunnel required.

Prerequisites

Getting Started

1. Install the GitHub App

Install the GitHub Webhook MCP app on your GitHub organization or account:

1. Visit the GitHub App installation page
2. Select the organization or account to install on
3. Choose which repositories to grant access to (or all repositories)
4. Approve the requested permissions

Note: When the app requests new permissions after an update, you must approve them in your GitHub notification or the app's installation settings. Webhooks will not be delivered until permissions are accepted.

Important: Do not create a separate repository webhook for the same endpoint. The GitHub App handles all webhook delivery — a repository webhook would cause duplicate or malformed requests.

2. Set up the MCP client

Continue to the Installation guide to connect your AI assistant to the webhook service.

Installation

See the Installation wiki page for the full setup guide, including:

• Quick Start with the preview instance
• MCP Client Setup for Claude Desktop, Claude Code CLI, and Codex
• Self-Hosting Guide for Cloudflare Workers deployment

Usage Examples

Example 1: Check pending webhook status

User prompt:

"Are there any new GitHub notifications?"

Expected output: The AI calls get_pending_status and returns a summary:

You have 3 pending webhook events:
- 2 push events
- 1 pull_request event

Example 2: Inspect a specific event

User prompt:

"Show me the details of the latest pull request event."

Expected output: The AI calls list_pending_events to find the PR event, then get_event with the event ID to retrieve the full payload:

PR #42 "Fix login timeout" was opened by @alice in repo acme/web-app
  Branch: fix/login-timeout → main
  Status: open
  Changed files: 3

Example 3: Process events after review

User prompt:

"I've reviewed all the push notifications, mark them as done."

Expected output: The AI calls list_pending_events to find push events, then mark_processed for each one:

Marked 2 push events as processed:
- Push to main by @bob (3 commits)
- Push to develop by @alice (1 commit)

Example 4: Monitor CI status via webhooks

User prompt:

"Did the CI checks pass on my latest PR?"

Expected output: The AI calls list_pending_events to find check_run events related to the PR, then get_event for details:

CI results for PR #42 "Fix login timeout":
- build (ubuntu-latest): ✓ passed
- lint: ✓ passed
- test (node-18): ✓ passed
All checks passed.

MCP Tools

... View full README on GitHub