"The most widely used models" matching MCP servers:

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An MCP server that turns any public GitHub repository into a PDF report containing a codebase summary, the most recent commits, and suggested improvements — generated locally by an Ollama model.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.

Lets MCP clients such as Claude or ChatGPT find the pull requests waiting on your review, read their details and changed files, check CI status, post comments, and submit approve, request-changes, or comment reviews. It runs locally over stdio with a personal token or as a remote server with its own OAuth 2.1 authorization server (PKCE, dynamic client registration, per-client consent, and refresh-token rotation) so GitHub is only used to sign the user in.

A git-native merge gate. mergelock check compares two branches before they meet and reports the conflicts git itself won't tell you about: a function whose signature changed on one branch while the other branch added calls to the old signature, a symbol deleted on one side but still used on the other, the same function written twice.

LocalBridge MCP is a bridge between an online AI chats and your computer. Most online AI chats can reason, and write code, but they normally cannot touch the local files, terminals, and scripts that make real work happen. This gives a trusted assistant a controlled doorway into a machine you own, so it can inspect files, edit text, search a project, run tests, use Git, and operate a shell.

A local MCP server for Jenkins that provides 17 tools to interact with Jenkins jobs, builds, logs, SCM, and test results via REST API, no plugin required.

The most comprehensive Azure DevOps MCP server & CLI — 13 tools, 82 actions, single Go binary.

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

Anthropic's github MCP server, but better. Support for more endpoints. Including releases and tags, pull request reviews, statuses, rate limit, gists, projects, packages, and even pull request diffs. Indented to be used with MissionSquad's MCP API for secret management (aka your access token).

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

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.

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.