VERIFIED

GitHub

Safety: 55/100

0.0(0)

The GitHub MCP Server connects AI tools to GitHub, enabling repository management, issue automation, code analysis, and workflow intelligence via natural language.

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Overview

The GitHub MCP Server connects AI tools to GitHub, enabling repository management, issue automation, code analysis, and workflow intelligence via natural language.

The GitHub MCP Server's safety depends on the configuration and permissions granted. Read-only access is generally safe, while write access requires careful consideration of the AI's capabilities and potential impact. Using the principle of least privilege is crucial.

Performance depends on the complexity of the queries and the size of the repositories. API rate limits may also impact performance.

Cost depends on the number of API calls made by the AI tool. Consider optimizing queries and caching results to minimize costs.

HybridGo26,922 starsMITReleased 2/3/2026CI/CD

Connections & Capabilities

Connects To

GitHubDocker

Capabilities

ReadWriteExec

Client Compatibility

Claude Desktop

full

Cursor

full

Windsurf

full

VS Code (Copilot)

full

Quickstart

Claude Desktop Config

{
  "mcpServers": {
    "github-remote": {
      "url": "https://api.githubcopilot.com/mcp/"
    }
  }
}

Environment Variables

GITHUB_PERSONAL_ACCESS_TOKEN

Tools (5)

safe

Repository Management

Allows AI to browse, query, and analyze code repositories.

Primarily read-only operations.

moderate

Issue & PR Automation

Enables AI to create, update, and manage issues and pull requests.

Involves writing and modifying data, but changes are generally reversible.

moderate

CI/CD & Workflow Intelligence

Monitors GitHub Actions, analyzes build failures, and manages releases.

Can trigger workflows and modify release configurations.

safe

Code Analysis

Examines security findings, reviews Dependabot alerts, and understands code patterns.

Primarily read-only analysis of code.

safe

Team Collaboration

Accesses discussions, manages notifications, and analyzes team activity.

Primarily read-only access to team information.

Security

Auth Method

OAuth|Token|Environment Variable

Data Locality

hybrid

Scopes

reporead:packagesread:org

Known Risks

!Exposure of sensitive information if PAT is not properly secured.
!Unauthorized modifications to repositories if AI is granted write access and makes incorrect decisions.
!Potential for denial-of-service if AI makes excessive API calls.
!Risk of AI misinterpreting code or issues, leading to incorrect actions.

Safety Score

moderate risk

Positive

+Requires authentication via OAuth or PAT.
+Access is limited by the permissions granted to the token or OAuth app.
+Clear documentation on configuring access and security.
+Supports GitHub Enterprise Cloud with data residency.

Risks

-If PAT is compromised, it could lead to unauthorized access.
-Overly permissive token scopes can grant excessive access to AI tools.
-Potential for AI to make unwanted changes to repositories if write access is granted.
-Improper configuration can expose internal GitHub Enterprise instances.

Use Cases

Code Understanding

-Explaining complex code snippets
-Identifying potential bugs and vulnerabilities
-Generating documentation from code

Workflow Automation

-Automatically triaging new issues
-Suggesting reviewers for pull requests
-Enforcing coding standards

Security Analysis

-Detecting security vulnerabilities in code
-Monitoring dependencies for known security issues
-Generating security reports

Project Management

-Tracking project progress
-Identifying bottlenecks in the development process
-Generating project reports

Who Is This For?

Best For

Developers seeking to automate GitHub workflows
Teams looking to improve code quality and security
Project managers needing better visibility into project progress
Organizations wanting to integrate AI into their development processes

Not Ideal For

Projects with extremely sensitive data that cannot be exposed to AI tools
Organizations lacking the expertise to properly configure and monitor AI tools
Scenarios where human oversight is critical for all actions

Autonomy & Execution

Default ModeConfigurable

Autonomy is highly dependent on the configuration of the AI tools and the permissions granted. It is crucial to carefully consider the potential impact of automated actions.

StatelessYes

Retry LogicNot documented

ConcurrencyNot documented

Production Tip

Start with read-only access and gradually increase permissions as you gain confidence in the AI's capabilities.

FAQ

What is the GitHub MCP Server?

It's a server that connects AI tools to GitHub, enabling them to interact with repositories, issues, and workflows.

What are the prerequisites for using the GitHub MCP Server?

You need a compatible MCP host, a GitHub account, and a personal access token (PAT) or OAuth app.

How do I install the GitHub MCP Server?

You can install it remotely or locally using Docker. Refer to the documentation for detailed instructions.

What permissions do I need to grant to the PAT?

Grant only the necessary permissions to minimize the risk of unauthorized access. Common scopes include 'repo', 'read:packages', and 'read:org'.

How do I secure my PAT?

Store it in environment variables, protect your .env file, and rotate tokens regularly.

Can I use the GitHub MCP Server with GitHub Enterprise Server?

Yes, but GitHub Enterprise Server does not support remote server hosting. You need to use the local server configuration.

What are the potential risks of using the GitHub MCP Server?

Risks include exposure of sensitive information, unauthorized modifications to repositories, and denial-of-service due to excessive API calls.

Metrics

Discovered2/14/2026

Reviews0

Saved By0 users

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