"Creating an MCP Server" matching MCP servers:

Facilitates interaction with Bitbucket Server for pull request management using the MCP protocol, supporting operations such as creating, merging, commenting, and reviewing pull requests.

A Model Context Protocol server that enables management of GitLab Kanban boards through tools for listing, creating, updating, and deleting tasks, as well as adding comments.

A Model Context Protocol server for creating commit messages from git staged files.

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

Enables triggering GitHub repository dispatch events, creating issues, and retrieving repository information.

An MCP server that enables GitHub API operations such as managing repositories, issues, and pull requests through natural language.

MCP server for AI DevTool workflow, exposing tools and resources for code review, repository chat, and repository operations.

MCP server that provides tools to interact with Azure DevOps, including querying work items, repositories, pull requests, builds, commits, and creating work items via a standardized interface.

Enables AI assistants to draft content such as PR descriptions, tickets, or messages, with a review window for live preview, editing, and approval before submission.

Enables read-only access to the canonical-vault GitHub repository through MCP, letting clients list files, retrieve file contents and history, inspect commits, and search code.

Model Context Protocol (MCP) server for GitLab — exposes 1006 GitLab REST & GraphQL API operations as MCP tools (42 meta-tools / 57 enterprise), 24 resources, 38 prompts, and 17 completion types for AI assistants. Written in Go, single static binary, stdio and HTTP transport.

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.

Enables natural-language queries about public GitHub repositories, including issues, pull requests, repo metadata, and READMEs, via the GitHub API.

Enables assistants to read Forgejo repositories and manage issues and pull requests directly from the working session, using the caller's own token against any Forgejo instance.

A local MCP server that provides a safe, explicit set of Git operations for version control tasks like status, diff, branching, staging, committing, fetching, merging, and pushing.

An MCP server for creating, validating, and formatting Git commits with emojis following the conventional commit standard.

A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, allowing users to query work items with plans to support creating/updating items, managing pipelines, handling pull requests, and administering sprints and branch policies.

Local Git MCP server exposing 29 tools that let AI clients manage repositories, commits, branches, remotes, and advanced git operations via natural language.

Enables local git operations including commit, branch, push, pull, status, and sync with conventional commit enforcement and branch naming conventions.

Enables AI agents to manage Terraform modules by searching, inspecting, and scaffolding configurations from private GitHub repositories. Also provides backend S3 configuration for generated Terraform code.