"ANA" matching MCP servers:

Analyzes GitHub contributions and maps them to the Karpathy Skills framework, providing metrics, alignment scores, and executive summaries.

Enables LLMs to search and read files in local and GitHub repositories, analyze pull request diffs, and grep code content with built-in security protections.

A MCP server that bridges LLMs with GitHub repository management, enabling automated analysis of pull requests, issue management, tag creation, and release management through natural language.

Provides comprehensive Git repository insights including author statistics, branch health, and code churn analysis. It enables users to perform data-driven assessments of their codebase and track development patterns through the Model Context Protocol.

Provides tools for analyzing code repositories, including structure, dependencies, and git history, with special support for Nostr-related projects.

Analyzes log files locally using Ollama and files structured GitHub Issues automatically, with all processing kept on your machine.

Tracks the complete lineage and DNA of every line of code, enabling impact analysis, bug risk prediction, and code archaeology through deterministic analysis of git history and AST.

Enables querying and analysis of public GitHub repositories for statistics, contributor data, and commit history. It provides both a RESTful API and an MCP interface for seamless integration with AI agents.

A FastMCP server for analyzing outstanding local git changes that haven't made their way to GitHub yet.

Enables Claude to analyze GitHub repositories with tools for health scoring, contributor analysis, issue tracking, code search, and more.

Enables multi-project code analysis by invoking project-provided Claude Code agents and skills, with optional SVN updates, returning Markdown reports to MCP clients.

Integrates GitLab merge request analysis with Confluence documentation, allowing users to fetch merge request details, analyze code changes, and store analysis results in Confluence pages.

Enables Claude to analyze any GitHub repository by providing tools for repository metadata, recent commits, contributors, open issues, commit activity, repository comparisons, and GitHub API rate limits.

Enables Large Language Models to analyze GitHub repositories in real-time, providing tools for retrieving repository information, analyzing issues, accessing documentation, and visualizing activity.

Provides code auditing tools including repository cloning, AST analysis, security scanning with Semgrep, and LLM-powered code explanations via the Model Context Protocol.

Analyzes local Git repositories to provide detailed insights into commit statistics, contributor activity, and frequently changed files. It allows users to query repository history and access structured activity data through the Model Context Protocol.

AI-powered GitHub repository analytics through MCP. Analyze repositories, track contributions, and get insights directly in your AI assistant.

An MCP server that analyzes Git repositories and provides Dockerfile creation guidance, running locally using stdio transport.

Enables natural-language analysis of GitHub repositories by exposing repository metadata, source code retrieval, search, and file reading as MCP tools, with answers grounded in the actual repository content.

A production-ready server featuring over 28 tools for comprehensive GitHub analysis, including repository metadata, issue tracking, and workflow monitoring. It enables users to search repositories, analyze contributor activity, and inspect codebase health through natural language.