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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.

Gitidhar MCP

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.

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)

Enables AI assistants to review GitLab merge requests by fetching changes, analyzing diffs, adding comments, and managing approvals through the GitLab API. Supports complete merge request analysis, file-specific reviews, and version comparisons.

MCP server for interacting with GitLab API, supporting both self-hosted instances and gitlab.com. Provides tools for managing issues, merge requests, code review, pipelines, milestones, releases, search, and file access.

Connects AI assistants to GitLab, enabling natural language queries for merge requests, reviews, discussions, pipeline tests, and job logs with the ability to respond to comments and resolve discussions.

Integrates GitLab with AI assistants to manage merge requests, analyze CI/CD pipelines, and create Architecture Decision Records. It enables seamless code searching, pipeline triggering, and deployment management through the Model Context Protocol.

Enables AI assistants to interact with GitLab projects, allowing users to view merge requests, reviews, discussions, pipeline tests, and job logs through natural language queries.