Summary
GitHub MCP Server, which entered public preview in April 2025. This article provides a clear explanation of the basic process for implementing GitHub MCP Server on your company’s infrastructure. The implementation of MCP Server offers significant benefits, especially for organizations that prioritize security and compliance requirements.
Source Article: “GitHub MCP Server public preview”
Media: GitHub Official Blog
Publication Date: April 4, 2025
Link: https://github.blog/changelog/2025-04-04-github-mcp-server-public-preview/
Want to learn more about GitHub MCP Server? Check out this article!
What is GitHub MCP Server? A Complete Guide to the Public Preview Features
Prerequisites for GitHub MCP Server Implementation
The following prerequisites must be met for implementation:
- Prepared Kubernetes environment (Recommended: AWS EKS, Azure AKS, GKE, on-premises Kubernetes)
- GitHub Enterprise Cloud account with administrator privileges
- Infrastructure management tools such as Helm CLI and kubectl
- TLS certificates and domain (for secure access to MCP Server)
- Data storage (such as PostgreSQL)
Preparing these in advance will ensure a smooth setup process.
GitHub MCP Server Implementation Procedure
Download GitHub MCP Server
First, download the MCP Server installation package provided by GitHub. This can be obtained from the GitHub Enterprise support page or a dedicated portal.
Note
During the public preview phase, access may be application-based. Apply through your GitHub account administrator.
Prepare the Kubernetes Cluster
MCP Server is deployed on a Kubernetes cluster. Confirm the following:
- Node pool configuration
- Network policy settings
- Persistent Volume preparation
Kubernetes can be used both in the cloud and on-premises, but should be designed according to your security requirements.
Deploy Using Helm
Deploy MCP Server using the official Helm chart.
helm install mcp-server github-mcp/mcp-server –values values.yaml
In the values.yaml file, include necessary configuration information (e.g., domain name, certificates, storage connection information, etc.).
Configure Integration with GitHub Enterprise
Link your GitHub Enterprise Cloud account with MCP Server. This allows GitHub Actions workflows to recognize your company-hosted runners.
Key configuration items include:
- GitHub App registration
- OAuth authentication settings
- Webhook integration settings
Register Runners and Test
Register self-hosted runners on your company’s infrastructure or virtual machines through MCP Server. Then, run a test workflow to confirm that it executes correctly.
Implementation Considerations
Automate Security Patch Application
MCP Server communicates with GitHub via the internet, making vulnerability countermeasures important. Automating updates is recommended.
Implement Backup Planning
Regular backups of databases and configuration files are essential to prepare for potential MCP Server failures.
Pay Attention to Scale Design
When handling thousands of runners simultaneously, cluster resource management becomes a critical factor.
Capabilities After Implementing GitHub MCP Server
After implementation is complete, the following operations become possible:
- Operating GitHub Actions completely under your company’s control
- Executing automated workflows without exposing confidential information externally
- Scaling out and scaling in according to infrastructure resource conditions
- Sharing and isolating runners between multiple projects
MCP Server can be a powerful tool, especially for companies handling confidential data and companies looking to strengthen DevSecOps.
Interested in the concept of MCP Servers? Check out this article!
Revolutionizing Development Efficiency: The Rise of Model Context Protocol (MCP) Servers
Conclusion | GitHub MCP Server Implementation: “A New First Step in Enterprise DevOps”
GitHub MCP Server is not just an extension of self-hosted runners. It achieves unprecedented freedom and security by allowing you to build your company’s own GitHub control plane.
While implementation involves certain technical challenges, it offers significant benefits for:
- Industries with high security requirements
- Large-scale development organizations
If you are considering full-scale implementation, we recommend starting with a small-scale Proof of Concept (PoC)!
For Those Wanting to Learn More About Security
Understanding the latest AI security threats will help you build a safer MCP Server environment.
Check out the article about What is Tool Poisoning? The Latest Vulnerabilities in Modern AI Security!
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