Enables comprehensive GitHub project management automation including creating/managing issues, updating project boards, assigning team members, and analyzing repository activity across organizations through OAuth-authenticated AI assistants.
created from MCP server demo
Model Context Protocol server that enables interaction with GitHub repositories, issues, pull requests, and search functionality through natural language.
The GitHub Triage MCP assist with the management and automation of triage workflows within GitHub repositories.
A utility that helps diagnose and fix GitHub Actions workflow failures by analyzing run logs, identifying common failure patterns, and suggesting specific fixes through a structured decision tree.
agent project, originally was going to be an mcp server
An MCP server that generates project-specific .gitignore files and lists available templates using the gitignore.io API. It allows users to streamline project configuration by creating customized ignore files for various programming languages and development environments.
全面解析GitingestMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Gitingest能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
An MCP server that wraps gitingest to enable Claude Code to analyze GitHub repositories, providing access to code structures, statistics, and full content. It facilitates the creation of structured study notes and supports both public and private repositories through the Model Context Protocol.
Integrates GitIngest to generate context files from public and private GitHub repositories, optimized for LLM consumption. Supports flexible file filtering, Docker deployment, and secure token-based authentication for private repository access.
Enables analysis and querying of Git repository content (both public and private) through a unified tool that provides repository summaries, file structures, and full content optimized for LLM consumption.
Semantic git queries via MCP. Beyond git log — answer who/what/why about any line, file, or branch with blame, co-change, PR linkage.
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.
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.
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 review GitLab merge requests by fetching diffs, analyzing code changes, adding comments, and managing approvals through the GitLab API. Supports comprehensive merge request analysis and version comparison for automated code review workflows.
Enables AI assistants to interact with GitLab merge requests, review code changes, search projects, and create draft comments for code review workflows.
Enables read-only access to GitLab and Jira data through MCP, allowing users to list projects, merge requests, issues, and search Jira tickets via natural language queries. Provides safe, structured access to project management data without write permissions.
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.
Full-coverage GitLab MCP server with 44 tools across 18 resource types. Agent-optimized CQRS design — one tool call handles complete multi-step operations. Supports OAuth 2.1, read-only mode, stdio/SSE/StreamableHTTP transports, and GraphQL-native work items with full hierarchy (epics,issues,etc)


