Git AI Agent Skills

A Model Context Protocol (MCP) server that helps read GitHub repository structure and important files. Inspired by gitingest. Using mcp-client-cli:

A Model Context Protocol (MCP) server for interacting with GitLab merge requests and issues. This project implements a server using the Model Context Protocol (MCP) that allows AI agents to interact with GitLab repositories. It provides tools for: - Listing available GitLab projects - Fetching merge request details and comments - Getting merge request diffs - Adding comments to merge requests - Ad

MCP Server for the GitLab API, enabling project management, file operations, and more. - Automatic Branch Creation: When creating/updating files or pushing changes, branches are automatically created if they don't exist - Comprehensive Error Handling: Clear error messages for common issues - Git History Preservation: Operations maintain proper Git history without force pushing - Batch Operations:

A Model Context Protocol (MCP) server implementation that integrates with gitingest for turning any Git repository into a simple text digest of its codebase. - Easy integration with AI assistants through the Model Context Protocol - Git repository analysis and ingestion capabilities - Support for filtering files by size, patterns, and branches - Returns comprehensive repository information includi

A Model Context Protocol (MCP) server for querying the CVE-Search API. This server provides comprehensive access to CVE-Search, browse vendor and product、get CVE per CVE-ID、get the last updated CVEs. - python 3.10+ - Cline、Roo Code etc - To get a JSON with all the vendors - To get a JSON with all the products associated to a vendor - To get a JSON with all the vulnerabilities per vendor and a spec

mcp-difyworkflow-server is an mcp server Tools application that implements the query and invocation of Dify workflows, supporting the on-demand operation of multiple custom Dify workflows. - "base-url":"http://localhost/v1" The base URL of the Dify platform api server url. - "command":"mcp-difyworkflow-server" You can specify the absolute path for the compiled binary, or create a symbolic link wit

An MCP server focused only on Overleaf projects (via Overleaf Git sync). .env example: - OVERLEAFTOKEN is required. - projectid can be passed per tool call, or use default PROJECTID. - Overleaf Git access requires a plan that supports Git integration. Add to ~/.config/Claude/claudedesktopconfig.json: - Python 3.13+ - uv package manager MIT - See LICENSE

Selvage: AI-Powered Code Review Automation Tool A modern CLI tool that helps AI analyze Git diffs to improve code quality, find bugs, and identify security vulnerabilities. AI Agents : Read our documentation at https://selvage.ai/llms.txt ▶ Watch Demo Video Selvage: Code reviews with an edge! No more waiting for reviews! AI instantly analyzes your code changes to provide quality improvements an

Orchestrate a comprehensive git workflow from code review through PR creation, leveraging specialized agents for quality assurance, testing, and deployment readiness. This workflow implements modern g

This repository contains an implementation of a Model Context Protocol (MCP) server for the Royal Spanish Academy (RAE) API. It allows language models to interact with RAE's dictionary and linguistic resources. Run the server with stdio transport (for integration with LLMs): Or run it as an SSE server: The MCP server exposes the following tools to LLMs: 1. search - Search RAE API for information -

An MCP server that integrates with the Freqtrade cryptocurrency trading bot via its REST API, enabling seamless AI agent interaction for automated trading operation. For more crypto-related MCP servers, see the Kukapay MCP servers. - Python 3.13+: Ensure Python is installed on your system. - Freqtrade: A running Freqtrade instance with the REST API enabled (see Freqtrade Docs). - Git: For cloning

You are an **expert onboarding specialist and knowledge transfer architect** with deep experience in remote-first organizations, technical team integration, and accelerated learning methodologies. You

Git-aware undo by logical work unit (track, phase, or task)

A Model Context Protocol (MCP) server that allows controlling macOS through SwiftAutoGUI. This server provides tools for programmatically controlling the mouse and keyboard through MCP clients. - macOS 15.0 or later - Swift 6.0 or later - Xcode 16.0 or later 1. Clone this repository: 3. Add command to your MCP client. The server provides the following tools for controlling macOS: - Tool name: move

A modular and extensible Model Context Protocol (MCP) server for Jira and GitHub integration, enabling end-to-end automation of developer workflows - from issue tracking to code changes and pull request management - via AI agents inside the IDE. - Jira integration: fetch issues by filters, search via JQL, and transition issues across workflows - GitHub integration: create branches, open and merge

A Model Context Protocol Server for Home Assistant. See Model Context Protocol for context. The custom component required by this integration is moving to Home Assistant Core in https://github.com/home-assistant/core/pull/134122 1. Install the home-assistant-model-context-protocol custom component in your Home Assistant instance 1. Create a Long Lived Access Token 1. Clone this git repo to a path

An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need. - OpenAI API Key: Required for generating embeddings (local embedding support planned) - Git: Must be a git repository (respec

English | 中文 kom 是一个用于 Kubernetes 操作的工具，相当于SDK级的kubectl、client-go的使用封装。 它提供了一系列功能来管理 Kubernetes 资源，包括创建、更新、删除和获取资源。这个项目支持多种 Kubernetes 资源类型的操作，并能够处理自定义资源定义（CRD）。 通过使用 kom，你可以轻松地进行资源的增删改查和日志获取以及操作POD内文件等动作，甚至可以使用SQL语句来查询、管理k8s资源。 1. 简单易用：kom 提供了丰富的功能，包括创建、更新、删除、获取、列表等，包括对内置资源以及CRD资源的操作。 2. 多集群支持：通过RegisterCluster，你可以轻松地管理多个 Kubernetes 集群，支持AWS EKS集群。 3. MCP支持：支持多集群的MCP管理,同时支持stdio、sse两种模式，内置58种工具，支

A local Model Context Protocol (MCP) server that provides structured, high-signal insight into a Git repository, enabling AI coding agents to understand project state, structure, activity, and risk — without uploading or modifying the codebase. AI coding agents (Claude Code, Cursor, Codex, Gemini, etc.) are powerful, but they lack situational awareness when working with non-trivial codebases. They

Draft a new release. Bumps version, generates CHANGELOG.md from git history, and creates a PR.

ALWAYS use this skill when committing code changes — never commit directly without it. Creates commits following Sentry conventions with proper conventional commit format and issue references. Trigger on any commit, git commit, save changes, or commit message task.

Guide for creating Claude Code skills following Anthropic's official best practices. Use when user wants to create a new skill, build a skill, write SKILL.md, update an existing skill, or needs skill creation guidelines. Provides structure, frontmatter fields, naming conventions, and new features like dynamic context injection and subagent execution.

Backend: Node.js with Express.js

Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters).