MCP GitHub Server
GitHub (formerly Anthropic)
Overall Trust Score
MCP server providing AI models with comprehensive GitHub integration capabilities. Enables repository management, issue tracking, pull request operations, and code search. NOTE: The original Anthropic version has been deprecated. Development moved to GitHub's official server at github.com/github/github-mcp-server.
Trust Vector
Performance & Reliability
api reliability90
operation success rate88
rate limit handling82
search accuracy85
error recovery84
Security
authentication security85
token exposure risk70
scope limitation78
action auditability82
unauthorized action risk72
Privacy & Compliance
code exposure70
sensitive data protection68
organization data control78
third party data sharing75
Trust & Transparency
documentation quality92
operation visibility88
open source transparency95
api coverage clarity80
Operational Excellence
ease of setup88
api performance82
reliability87
feature coverage85
community adoption80
✨ Strengths
- •Comprehensive GitHub API coverage (repos, issues, PRs, search)
- •Built on reliable GitHub infrastructure with high uptime
- •Excellent for development workflows and code collaboration
- •Full operation auditability through GitHub's audit logs
- •Open source implementation with active Anthropic support
- •Supports granular permission scopes via GitHub tokens
⚠️ Limitations
- •Repository code and metadata exposed to LLM provider APIs
- •Risk of unintended repository modifications or PR creation
- •No built-in secret detection or sensitive data filtering
- •Subject to GitHub API rate limits (5000 requests/hour)
- •Token scope misconfiguration can grant excessive permissions
- •Potential for accidental data leakage from private repositories
📊 Metadata
Use Case Ratings
code generation
Excellent for AI-assisted development, PR creation, and code review workflows
customer support
Useful for creating support issues and tracking feature requests
content creation
Good for managing documentation and content in GitHub repos
data analysis
Useful for analyzing repository metrics, commit history, and issue data
research assistant
Excellent for researching codebases, finding examples, and tracking issues
legal compliance
Limited applicability; potential risk of exposing private repositories
healthcare
Low suitability due to risk of exposing sensitive code to LLM providers
financial analysis
Moderate risk; requires careful repository access controls
education
Great for teaching programming, managing assignments, and code review
creative writing
Useful for managing writing projects in GitHub, but not the primary use case