GitHub MCP Server Chart (Work in progress 🚧)

Name: GitHub MCP Server Chart (Work in progress 🚧)
Author: 1995parham

@1995parham

Repository

About GitHub MCP Server Chart (Work in progress 🚧)

Helm chart GitHub's official MCP Server

Basic information

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is GitHub MCP Server Chart?

A Helm chart for deploying github-mcp-server on Kubernetes. It is a minimal starting point intended for users who want to run GitHub's MCP (Model Context Protocol) server in a Kubernetes cluster.

How to use GitHub MCP Server Chart?

Ensure you have a Kubernetes cluster (v1.19+ recommended) and Helm 3 installed. Then use Helm to deploy the chart. You may need to customize configuration (environment variables, secrets, volumes, etc.) for your specific use case or production needs.

Key features of GitHub MCP Server Chart

Provides a Helm chart for github-mcp-server
Minimal starting point for Kubernetes deployment
Community-maintained (not officially supported by GitHub)
Easily customizable via Helm values

Use cases of GitHub MCP Server Chart

Deploying GitHub’s MCP server on a Kubernetes cluster
Running the MCP server in a containerized environment
Integrating the MCP server into an existing Kubernetes workflow

FAQ from GitHub MCP Server Chart

What is GitHub MCP Server Chart?

It is a Helm chart that packages and deploys GitHub’s MCP server (github-mcp-server) onto a Kubernetes cluster.

What are the prerequisites to use this chart?

You need a Kubernetes cluster (v1.19+ recommended) and Helm 3 installed.

Is this chart officially supported by GitHub?

No, this chart is community-maintained and not officially supported by GitHub. Use in production at your own risk.

Is the chart ready for production use?

The chart is a work in progress and a minimal starting point. You will likely need to customize configuration (environment variables, secrets, volumes, etc.) for production needs.