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.
MCP server for GitLab CI/CD — pipelines, jobs, schedules, branches, tags, merge requests and repository files. Works with any GitLab (SaaS gitlab.com or self-hosted) via python-gitlab.
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 integrating Google Search Console, Google Analytics 4, and GitHub, enabling AI clients to query search analytics, traffic data, and repository information.
Python MCP server for GitHub operations, providing native tool integration with Claude Code and other MCP clients. It enables managing issues, pull requests, CI status, milestones, and batch operations via natural language.
Enables safe changelog management for AI assistants with append-only entries, automatic versioning, and backups to prevent accidental deletion or formatting inconsistencies.
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.
Enables querying the latest commit information for any file in the Chromium repository, including commit hash, author, timestamp, message, and modified files through the Gitiles API.
A Model Context Protocol server that integrates Cursor IDE with Bitbucket Cloud, allowing developers to fetch repository information and commit data directly from their Bitbucket workspace.
Enterprise-grade MCP (Model Context Protocol) server for detecting secrets and sensitive information in GitHub repositories. Scans for 35+ types of secrets including API keys, passwords, tokens, and credentials with production-ready reliability features.
Connects AI assistants to GitHub Actions workflows to monitor CI/CD pipelines, view run logs, diagnose failures, and optionally trigger or manage workflows with granular permission controls.
Enables AI assistants to interact with GitHub through the PyGithub library, providing tools for managing issues, repositories, pull requests, and other GitHub operations with intelligent parameter handling and error management.