"The Models Resource" matching MCP servers:

Enables natural language admin tasks for GitHub Enterprise Cloud, like listing private repos, access reviews, and secret scanning, with read-only safety by default.

A Model Context Protocol server for Git repository interaction and automation. This server provides tools to read, search, and manipulate Git repositories via Large Language Models.

A Model Context Protocol server that enables AI models to interact with GitHub's API, allowing for repository creation and management with descriptions, topics, and website URLs through natural language commands.

Enables interaction with Gerrit code review system via REST API, allowing language models to query changes, retrieve details, and manage reviews.

A runnable MCP server for learning GH-600 domain 2.0, providing four example tools (repo info, issues, summaries, safe file read) and a resource, using deterministic in-memory data.

A TypeScript server that analyzes GitHub Pull Requests using the Model-Controller-Presenter pattern.

An MCP execution layer that lets capable AI models safely control a developer workstation for file edits, terminal and process execution, Git operations, language-server analysis, browser and Windows UI automation, media processing, job/resource control, and checkpointing. It also coordinates durable single- or multi-agent tasks across providers with leases, dependency graphs, evidence logs, repair loops, and separate verification gates.

Enables AI models to access GitHub repository contents as context, with features to fetch entire repositories, specific file contents, and repository structures for use in AI interactions.

A comprehensive all-in-one MCP server with 172 tools across 21 categories including Git operations, tmux monitoring, log aggregation, system resource monitoring, and GitHub integration. Features enterprise-grade security, intelligent caching, cross-platform support, and zero-configuration setup for Claude Desktop.

Exposes GitHub repository data via MCP tools, a resource, and a prompt, enabling repo summaries, issue/PR listing, keyword search, and repo health review.

Enables AI models to interact with GitLab instances for branch management and merge request operations via the Model Context Protocol.

A lightweight MCP server for bringing GitHub repositories into context for large language models, enabling repository analysis, file access, and search without local cloning.

Enables AI-powered code review of Git diffs through natural language, supporting multiple AI models and Git workflows.

Provides AI agents with a toolset to query model inventories, trace dependencies, and analyze the impact of changes across machine learning models and data pipelines.

Enables agents to create and manipulate 3D CAD models using natural language via MCP, with git-based versioning and manufacturing output generation.

Enables models to query enterprise systems—structured data, live GitHub REST API, and unstructured document embeddings—through a single, per-caller scoped MCP tool surface with task-shaped tools and recovery-aware errors.

Enables interaction with Linear resources through an MCP interface, offering functionality for issue management and resource retrieval with rate limiting and error handling support.

Enables AI models to create and manage GitHub repositories, branches, and files directly through a personal access token. This Docker-friendly server facilitates repository administration and content updates without requiring a local clone.

Provides ~200 auto-generated tools and resources for LLM agents to interact with Gitea and Forgejo instances via the Model Context Protocol.

Analyzes git changes in repositories and generates conventional commit messages using OpenAI's GPT models, supporting both staged and unstaged changes with detailed summaries.