The GitKraken MCP Server turns your AI assistant into a context-aware development partner by connecting it to git history, branches, issues, pull requests, and multi-repo workflows through GitKraken. It works with all the providers you would expect from the GitKraken software suite such as GitHub, GitLab, Azure DevOps, Bitbucket, Jira, and more.
Enables AI agents to monitor and debug GitLab CI/CD pipelines by providing tools to list pipelines, retrieve job logs, and analyze failure root causes. It features automated error pattern extraction and failure analysis to streamline pipeline troubleshooting.
Enables AI assistants to interact with GitLab merge requests, review code changes, search projects, and create draft comments for code review workflows.
Enables AI assistants to manage GitLab projects by providing tools for issues, milestones, and team reports through a read/write interface. Users can interact with project data using natural language directly within Claude Desktop or Claude Code.
Enables interaction with GitLab repositories through natural language, supporting project management, issue tracking, merge requests, file access, and repository operations. Includes a conversational agent interface with structured outputs for comprehensive GitLab workflow automation.
Enables interaction with GitLab repositories through secure OAuth 2.0 authentication. Supports comprehensive GitLab operations including merge requests, issues, file management, commits, and branch operations through natural language.
Enables AI agents to interact with GitLab repositories, monitor documentation changes, manage issues and merge requests, and search across projects with comprehensive file and commit operations.
Configuration, adapters, and troubleshooting tools for GitLab MCP server implementation
MCP server to work with GitLab MR
Transforms any GitHub repository into a documentation hub for AI assistants, enabling access to up-to-date documentation and code to eliminate hallucinations. Supports repository-specific and dynamic endpoints with smart search capabilities.
Enables comprehensive Git and GitHub operations through 30 DevOps tools including repository management, file operations, workflows, and advanced Git features. Provides complete Git functionality without external dependencies for seamless integration with Gitea and GitHub platforms.
MCP server to communicate with github repo without the need to run docker
Enables git repository operations through REST endpoints, providing access to repository status, diffs, and commits. Enforces security through configurable root directory allowlists for safe git operations.
Node.js server implementing Model Context Protocol for git operations, enabling AI assistants to manage git repositories through natural language commands.
Comprehensive knowledge base for Git MCP Server implementation, configuration, and troubleshooting
Analyzes git repository metrics to understand team health, development patterns, code quality, and collaboration through natural language queries. Provides insights on commit statistics, bus factor, velocity trends, technical debt, and burnout detection.
A lightweight MCP server that enables AI assistants to manage local Git repositories by executing commands like status, add, and commit. It streamlines development workflows by providing repository context and diffs directly to the assistant.
A Model Context Protocol server that enables LLMs to interact with Git repositories, providing tools to read, search, and manipulate Git repositories through commands like status, diff, commit, and branch management.
Generates standup reports from git history by analyzing recent commits across configured repositories. Enables users to query their development activity, such as what they worked on yesterday or over multiple days, through natural language interactions with Claude.
Visualizes Git history and commit logs with before/after animations for operations like merge, rebase, and cherry-pick. Integrates with AI assistants to provide Git analysis tools and smart command suggestions through natural language.
