"How to create an MCP tool" matching MCP servers:

Provides full read/write access to the GitHub REST API via a single tool using a personal access token.

An integration tool that enables AI assistants like Claude to directly access and interact with Bitbucket repositories, pull requests, and code without requiring copy/paste operations.

Wraps GitLab Duo CLI as an MCP tool for code review, enabling agents to get structured Duo reviews via duo_review.

Provides MCP tools for Friday AI, enabling code indexing, Graph RAG, coding plans, and PR/MR operations via AI coding assistants like Cursor, Claude Code, and Codex.

Enables AI assistants to create conventional Git commits, update changelogs, and optionally push changes to remote repositories.

An MCP server that exposes VS Code's advanced diff algorithm as a tool, providing accurate unified diffs with move detection and annotations.

Enables Claude to create, manage, and clean up git worktrees automatically, including dependency installation and GitHub PR creation.

An MCP server that enables AI assistants to read, create, and manage issues, repositories, and releases on Gitea, Forgejo, or Codeberg instances via personal access tokens.

MCP server for Google Jules enabling LLMs to create coding sessions with automatic pull request creation from issues or custom prompts.

Converts Jenkins declarative pipelines into GitHub Actions workflow YAML files, facilitating migration from Jenkins to GitHub Actions CI/CD.

Enables LLMs to list, create, and comment on GitHub issues using your own GitHub identity via stdio transport.

MCP server integrating Google Search Console, Google Analytics 4, and GitHub, enabling AI clients to query search analytics, traffic data, and repository information.

Connects MCP-compatible AI coding agents to self-hosted instances so they can discover projects, repositories, and branches, then create or update pull requests from a local Git context and return the PR number and browser URL. An explicit repository allowlist restricts all repository and pull request reads and writes.

A Python framework that exposes developer tools through MCP, REST API, and CLI from a single shared registry, enabling AI assistants, HTTP clients, and terminal users to access the same tools.

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.

Provides natural language search capabilities for Spryker GitHub repositories, packages, and public documentation. It enables code-level searches across Spryker organizations to help developers find relevant modules and technical information.

An MCP server that enables AI assistants like Claude to help users manage their GitHub notifications through natural language commands.

Enables AI agents to create GitHub issues on explicitly allow-listed repositories using GitHub App authentication, with input validation, rate limiting, and no token exposure.

MCP server to create, read, update, list, and search GitHub Gists from your IDE.

MCP server for managing Git operations on local repositories, allowing users to list repositories, get and create tags, list commits, push tags, and refresh repositories through a standardized interface.