"A server for finding Git version control resources and information" matching MCP servers:

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

A secure and scalable Git MCP server giving AI agents powerful version control for local and (soon) serverless environments.

Enables AI agents to intelligently organize Git changes into clean, focused commits with autopilot mode or surgical line-by-line staging precision. Supports partial staging of untracked files and handles large diffs with smart truncation.

Enables AI coding agents to retrieve the latest stable versions of packages and tools across multiple ecosystems, preventing outdated dependency versions in generated code.

A Model Context Protocol server that enables LLMs to interact with Git repositories, providing tools to read, search, and manipulate Git repositories through commands like status, diff, commit, and branch management.

A Model Context Protocol server that enables LLMs to interact with Git repositories, providing tools to read, search, and manipulate Git repositories through commands like status, diff, commit, and branch operations.

Enables MCP clients to inspect and modify local git repositories by running commands such as status, log, diff, add, commit, branch, and stash. Push operations are not performed locally; instead diffs are sent to a configurable HTTP API that handles the upload, with all other remote git commands blocked.

Suggests the latest stable package versions when writing code.

Enables LLMs to orchestrate AI agents and tasks, inspect DAG workflows, monitor cluster metrics, and perform safe database queries and statements through standardized MCP tools.

Run free live audience Q&A and polls from your agent: start an AskOne room, add and launch a poll, approve or hide questions and mark them answered, close the room, then read the questions as a FAQ draft and get the results. Free AI moderation. Uses an organization API token from askone.org

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

git blame tells you who wrote a line. This tells you why.

A Model Context Protocol server that enables Large Language Models to interact with Git repositories through a robust API, supporting operations like repository initialization, cloning, file staging, committing, and branch management.

Enables AI assistants to inspect and safely control OBS Studio over obs-websocket v5, exposing scenes, inputs, filters, outputs and video settings as read and write tools that default to dry runs and refuse changes while live unless explicitly confirmed. It also provides Source Record and IRL readiness checks, a BRB auto-switcher, and a scene timeline log for cutting clips from VODs.

Automatically generates conventional commit messages from staged git changes and checks repository status. Analyzes git diffs to create properly formatted commit messages following conventional commit standards.

A Node.js server that allows browsing Git repositories through MCP, providing tools to view directory structures and read important files from repositories.

The Git MCP Server allows AI assistants to perform enhanced Git operations via the Model Context Protocol, supporting core Git functions, branch and tag management, GitHub integration, and more.

Provides automated Git workflow tools for committing, creating pull requests, and merging with proper GitHub authentication handling. Supports complete Git workflows from commit to merge with dry run capabilities and conventional commit formatting.

AI-native orchestration layer with 80+ tools for task management, code editing, browser automation, terminal control, and persistent memory across CLI, local MCP, and cloud deployments.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

MCP server providing 29 A-share analysis skills including real-time data, capital flow, limit-up tracking, technical/fundamental analysis, backtesting, risk control, and Xueqiu portfolio tracking, enabling AI agents to execute market research and strategy tasks.

Enables AI agents to control monitor settings (brightness, contrast, input source) via DDC/CI protocol, with support for MQTT integration.

A governance and control layer for MCP tools that manages tool requests as intents through policy-based approval, queuing, or blocking. It enables secure human oversight and audit trails for consequential agent actions across platforms like Claude Desktop and Cursor.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.

Enables AI agents to send emails, create drafts in Gmail, and append content to Google Docs via standardized MCP tools.

A lightweight MCP server that handles git operations on behalf of AI coding assistants, running as a local HTTP service without external network exposure by default.

Enables local/remote execution infrastructure through the official Codex Runtime, providing shell, files, Git, sessions, browser, computer use, recoverable tasks, multi-host routing, dynamic MCP integration, and skill lifecycle management.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.