"A tool or assistant to explore and debug my codebase" matching MCP servers:

Enables AI models to perform comprehensive Git repository management including cloning, file operations, branching, committing, and pushing changes via a secure FastMCP interface. It features built-in workspace isolation and rigorous input validation to ensure production-ready repository control.

Codebase Q&A agent with git-history awareness. Explore a repo with list_files, read_file, and search, plus git log, blame, and diff and a repo map to answer "why did this change?" questions. Runs locally as an MCP server for Claude Code and other MCP clients.

A Model Context Protocol server that enables AI agents to retrieve and understand entire codebases at once, providing tools to analyze local workspaces or remote GitHub repositories.

Serves a git-backed folder of Markdown notes over MCP so AI agents can search, read, write, move and delete them, with every write recorded as a git commit attributed to the calling client. Supports full-text section search with snippets, wikilinks and typed relations, LFS-backed searchable attachments, optimistic concurrency for multiple agents, and per-client token or OAuth 2.1 access.

Enables Claude Code sessions to wait for a durable, exact-head GitHub pull-request review and continue the same review/fix/push loop without polling, using Supabase durable state and Realtime wake-ups via ordinary stdio MCP.

Local-first MCP runtime for coding agents with bounded workspace access, content-preconditioned writes, AST search, LSP navigation and diagnostics, and Git status/diff. Designed to give coding agents useful repository access without treating unrestricted shell access as the default integration boundary.

Enables LLM clients to search, read, and patch a trusted source repository with rollback-safe edits, Git operations, and allowlisted validation over stdio or OAuth-protected HTTP. Keeps secrets and arbitrary shell access out of reach while enforcing bounded batched I/O and operator-controlled workspace trust.

A production-grade MCP server for local git repositories that provides tools for code search, git history analysis, complexity metrics, test discovery, and dependency management.

Enables searching GitHub repositories, fetching readable web page text, and querying a local book database through MCP tool calls.

MCP server that integrates GitHub, Brightspace, Outlook, and local files, enabling natural language queries for assignments, grades, emails, calendar events, repositories, and file operations.

Enables tracing any line in a local git repository back to the commit that actually introduced it and the PR/review discussion behind it, overcoming git blame's misleading last-touch attribution.

An MCP server that connects Claude to your real GitHub activity and tells you what to build and ship publicly to make your resume credible.

An MCP server that enables AI agents to retrieve detailed GitHub Pull Request information using git commit hashes, branch names, or PR numbers. It automatically detects repositories and extracts comprehensive PR data including descriptions, labels, and reviews via the GitHub CLI.

Analyzes code changes using static code-graph and git co-change history to identify likely affected files, returning tiered confidence reports with evidence. Exposes tools for AI assistants to inspect current changes, static impact, historical co-change patterns, and detailed explanations.

Enables AI assistants to interact with Gitea repositories through intelligent tools for issue/PR management, workflow analysis, compliance checking, and content generation, plus 200+ CLI commands for complete CRUD operations.

Local MCP server enabling Codex and ChatGPT to read/write files, execute commands, manage processes, use Git, and inspect images on the user's machine with full privileges.

A custom MCP server that enables AI assistants to perform comprehensive research tasks, including searching ArXiv, summarizing papers via Groq, managing local research notes, and pushing findings to GitHub.

Provides access to a specific GitHub repository (my-notion) allowing AI assistants to browse files, read content, and track commit information. Enables real-time interaction with repository data through the GitHub API without authentication requirements.

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Enables managing GitHub repositories, files, and user information through MCP, with support for creating, updating, and deleting repository contents, as well as fetching user profiles.