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Security: petems/github-pr-review-mcp-server

Security

SECURITY.md

Security Considerations

This document outlines the security design decisions, hardening measures, and important safety considerations for the GitHub PR Review MCP Server.

File Creation Removal

Background

This server originally included functionality to create markdown files on disk via a create_review_spec_file tool. This feature was intentionally removed due to security complexity and concerns.

Security Rationale

File creation operations introduce several security vectors:

  • Path traversal attacks: Even with validation, filename manipulation could potentially escape intended directories
  • Symlink attacks: Malicious symlinks could redirect writes to unintended locations
  • File overwrite risks: Accidental or intentional overwriting of existing files
  • Permission escalation: File creation with inappropriate permissions
  • Disk space exhaustion: Potential for abuse to fill disk space

Alternative Solutions

Instead of server-side file creation, we recommend:

  1. Agentic agents handle file operations: Modern AI agents and tools have robust, native file handling capabilities that are better suited for this task
  2. External CLI tool: Use gh-pr-rev-md - a dedicated, non-MCP command-line tool specifically designed for creating PR review markdown files
  3. Client-side processing: Let the consuming application handle file operations using the markdown content returned by the MCP server

This approach follows the principle of least privilege and separates concerns appropriately.

Security Hardening Measures

GitHub API Security

  • Token-based authentication: Supports both fine-grained Personal Access Tokens (PATs) and classic PATs
  • Automatic fallback handling: If Bearer token fails with 401, automatically retries with token scheme for classic PATs
  • Minimal required scopes:
    • Public repos: public_repo scope only
    • Private repos: repo scope only
    • Fine-grained PATs: Pull requests → Read access only

Network Security

  • Request timeouts: 30-second total timeout, 10-second connection timeout
  • Rate limiting respect: Automatic handling of GitHub API rate limits with proper backoff
  • Retry logic with exponential backoff: Maximum 3 retries with jitter to prevent thundering herd
  • Input validation: URL parsing with strict regex validation for GitHub PR URLs
  • Safe HTTP headers: Proper User-Agent and Accept headers

Input Validation & Sanitization

  • URL validation: Strict regex pattern matching for GitHub PR URLs
  • Parameter validation: All numeric parameters validated within safe ranges
  • Type checking: Strong typing throughout with runtime validation
  • URL encoding: Proper encoding of repository owner/name in API calls

Memory & Resource Protection

  • Pagination limits:
    • Maximum 200 pages (configurable, default 50)
    • Maximum 100,000 comments (configurable, default 2,000)
  • Per-page limits: 1-100 comments per page (GitHub API limit)
  • Early termination: Stops fetching when safety limits are reached

Code Security

  • No dynamic code execution: No eval(), exec(), or similar dangerous functions
  • Exception handling: Comprehensive error handling without information leakage
  • Dependency management: Locked dependencies with known versions

Important Security Warnings

⚠️ Agentic Workflow Risks

CRITICAL: This MCP server fetches and returns PR review comments as-is from GitHub. When using this in agentic workflows, be aware of serious security risks:

Code Injection via Comments

  • Malicious suggestions: Bad actors could submit PR comments containing malicious code suggestions
  • Social engineering: Comments could trick AI agents into implementing harmful changes
  • Supply chain attacks: Compromised contributor accounts could inject malicious suggestions

Unintentional Breakages

  • Incorrect implementations: AI agents might misinterpret comments and implement broken code
  • Context loss: Comments may reference code that has changed since the comment was made
  • Incomplete implementations: Partial or incorrect implementation of suggested changes

Recommended Safeguards

  1. Human review required: Never auto-implement PR comments without human review
  2. Sandboxed testing: Test all generated code in isolated environments
  3. Limited scope: Restrict AI agent permissions and capabilities
  4. Audit trails: Maintain logs of all changes made based on PR comments
  5. Validation gates: Implement automated testing and validation before deployment
  6. Trust boundaries: Treat all PR comments as untrusted input

Data Privacy Considerations

  • Sensitive information exposure: PR comments may contain sensitive data, API keys, or internal information
  • Access control: Ensure proper repository access controls before fetching comments
  • Data retention: Consider how long fetched comment data is retained in memory or logs

Environment Security

Token Management

# Use environment variables, never hardcode tokens
GITHUB_TOKEN=ghp_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

# Restrict token permissions to minimum required
# Fine-grained PAT: Repository access + Pull requests: Read
# Classic PAT: public_repo (public) or repo (private)

Network Configuration

# Optional: Configure stricter limits
PR_FETCH_MAX_PAGES=10          # Reduce from default 50
PR_FETCH_MAX_COMMENTS=500      # Reduce from default 2000
HTTP_MAX_RETRIES=1             # Reduce from default 3

Reporting Security Issues

If you discover a security vulnerability in this MCP server:

  1. Do not create a public GitHub issue
  2. Report privately via GitHub Security Advisories
  3. Include detailed reproduction steps
  4. Allow reasonable time for response and fix

Security Updates

This MCP server follows semantic versioning. Security updates will be released as:

  • Patch releases (x.x.X) for security fixes
  • Minor releases (x.X.x) for security enhancements
  • Major releases (X.x.x) for breaking security changes

Always use the latest version and monitor security advisories.

License and Liability

This software is provided "as-is" without warranty. Users are responsible for:

  • Proper token management and access controls
  • Validating and reviewing all generated content
  • Implementing appropriate safeguards in their workflows
  • Compliance with their organization's security policies

See the LICENSE file for complete terms and conditions.

There aren’t any published security advisories