"Organic Maps" matching MCP servers:

A local Git intelligence MCP server that provides deep repository analytics including hotspots, temporal coupling, knowledge maps, churn analysis, and risk scoring for AI agents.

A local Git intelligence MCP server that provides deep repository analytics including hotspots, churn, knowledge maps, and risk scoring, all computed from commit history without data leaving your machine.

Analyzes codebases from local directories, GitHub, and Azure DevOps, providing intelligent context to AI coding assistants through repository structure, critical files, and semantic maps.

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

A provenance-aware decision ledger that maps meeting transcripts and PRDs to code symbols to track implementation and drift. It enables developers to maintain institutional memory by linking historical context and architectural decisions directly to the evolving codebase.

A modular server that implements the Model Context Protocol standard, providing tools for interacting with GitHub, GitLab, Google Maps, Memory storage, and web automation through a unified gateway.

MCP server for the GitHub API, enabling file operations, repository management, search functionality, issues, pull requests, and more.

Turns GitHub Discussions into interactive, read-only briefs inside an MCP host, surfacing participants, questions, and thread maps without mutating GitHub state.

Enables coding agents to generate question-scoped repository maps, inspect symbols and SQL lineage, and audit working-tree diffs for ripple candidates, all verified against the current Git commit.

Maps CODEOWNERS-assigned owners and prior review activity for each changed pull request file, returning frequent reviewers, unowned files, and the deduplicated required reviewers. It validates inputs and computes results locally without reading repositories or calling hosting APIs.

Which paths can your AI coding agent erase with no way back? One read-only command maps them as flood zones, ranked by bytes, with the cheapest fix. CLI + GitHub Action + MCP.

This MCP server enables developers and AI clients to investigate public GitHub pull requests by gathering objective pull request metadata, categorized change maps, heuristic risk signals, real CI check evidence, and traced issue context. It synthesizes these facts into an evidence-linked Review Dossier with a prioritized 3–5 step reviewer route, clearly separating verified facts from unverified hypotheses.

Enables users to manage GitCode repositories and automatically generate mind maps from project README files using Coze workflows. It serves as an architectural assistant to help developers quickly understand codebase structures and automate repository management tasks.

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

A server implementation demonstrating how AI models can interact with external tools and services through Model Context Protocol, featuring integrations for calculator functions, GitHub repositories, and Google Maps searches.

Provides access to GitHub v3 REST API functionality through STDIO mode with FastMCP, enabling users to interact with GitHub resources.

MCP server that visualizes git branch genealogy and worktree locations within a repository, marking the current session position. Supports creating branches/worktrees, safe deletion/cleanup, and session navigation with fallback guidance.

Official Codna MCP server with Mojo-powered risk simulation. Maps repos with zero LLM tokens. 5 stdio tools: triage, root-cause analysis and fix plans (optional PRs), SARIF reachability proof, on-device code memory and bug reporting. Introspection needs no credentials; execution requires a one-time free codna login. Source: cli/codna/mcp_server.py. Registry: io.github.thyn-ai/codna.

Provides comprehensive Git operations as tools for AI assistants and applications. This server enables AI systems to interact with Git repositories, allowing to initialize, fetch, commit, log, status, etc..

Enables AI agents to manage GitHub repositories, commits, pull requests, issues, Actions workflows, deployments, releases, branch protection, webhooks, billing, GraphQL queries, and local Git operations for CI/CD and DevOps workflows.

Enables read-only integration with GitHub, Jenkins, and Artifactory for DevOps monitoring, analysis, and troubleshooting. Provides repository inspection, build log retrieval, and artifact management through natural language.

Enables automated GitHub pull request review through a multi-agent system using LangGraph and MCP tools, analyzing PR metadata, files, patches, comments, and policies with RAG, guardrails, HITL approval, and Langfuse observability.