"Git MCP (Model Context Protocol) Server" matching MCP servers:

An MCP server that enables AI agents to inspect and interact with a local Git repository, including managing Git status, logs, branches, commits, and workspace files.

A unified context layer that connects your local data — repositories, documents, remote machines, and notes — to LLM interfaces through the Model Context Protocol (MCP).

A secure, git-aware MCP server for working with local repositories, enabling file management, shell commands, and full git operations within allowed directories.

Provides a standardized way to interact with MinIO object storage, allowing access to text files, binary files, and bucket contents while supporting operations like listing buckets/objects, retrieving objects, and uploading files.

A Git-enforced filesystem MCP server that integrates git with filesystem operations, enforcing commits on writes, providing reads with history, and supporting staged branching.

A Model Context Protocol server for interacting with Git repositories, extending mcp_server_git with custom tools to list repository directories and view file contents for easier codebase navigation.

Provides file system operations (read, write, list, delete) and Git repository management (status, commit, push, pull, diff) for n8n workflows through the Model Context Protocol.

MCP server that helps AI coding agents understand a repository by providing lightweight tree/map, code search, and token-budgeted context packing tools without dumping the entire monorepo into the prompt.

Enables AI coding agents to persist structured long-term memory (gotchas, architecture, API notes) in a .context folder and sync across devices and agents via Git.

MCP server providing lossless file reads with deduplication, per-repo token metering, and HMAC-signed context receipts. Enables auditable, vendor-neutral measurement of what an AI agent saw.

Provides LLMs with secure, read-only access to local documentation by scanning directories, extracting content from PDF, DOCX, Markdown, and text files, and performing keyword searches.

Enables local, bounded routing and evidence judgments for Codex tasks, with tools for reading file context, checking outputs, and selecting registered workflows while keeping execution and review with the client.

Provides AI agents with secure, read-only file system access to analyze and understand project codebases, enabling multi-repository context aggregation and cross-project code tracing.

A dockerised, self-hostable host that runs an Obsidian vault headlessly and serves it to MCP clients, with pluggable sync (git first).

This server provides an API to query Large Language Models using context from local files, supporting various models and file types for context-aware responses.

Enables ChatGPT to inspect a selected local project on demand, retrieving project overviews, code search results, file excerpts, and Git context without pasting entire repositories into the conversation.

A thin, local, read-only MCP gateway that exposes governed context documents and producer manifests as logical resources, enabling AI clients to access them without arbitrary filesystem access.

Enables AI agents to read, search, create, and append Markdown notes from a local vault (e.g., Obsidian) via MCP, allowing natural-language note management through compatible clients.

A Model Context Protocol (MCP) server that provides VSCode context and filesystem operations for AI assistants.

MCP server that gives AI chat real vision by reading images, files, logs, and zip archives via local OCR in any language, with privacy-first processing.