Version Control

CLI and agent skills for managing GitHub PR review comments. List, filter, reply, and watch for bot findings.

Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MC

MCP server for Bitbucket API integration - supports both Cloud and Server

Your personal AI runtime, local-first. Patchwork OS gives any AI model a consistent set of tools, YAML recipes, a delegation policy with approval queue, and a durable trace memory — all on your machine, all under your policy.

Lint AI agent context files (CLAUDE.md, AGENTS.md, etc.) against your actual codebase

TypeScript SDK for the MCP Registry API — includes types, a ready-to-use client, and deterministic fingerprint computation for enterprise allowlist enforcement.

Author, generate, validate and govern AI agent rules, skills, plugins and MCP configuration across 52 coding assistants. Review with verified model evidence, evaluate skills, lock and sign dependencies, and publish bundles. CLI, MCP server and Go API.

Model Context Protocol (MCP) server for Bitbucket Cloud and Server API integration

AI code research platform. Search, analyze, and extract insights from any GitHub repository.

contextl — finds the most relevant files in your codebase for any change request. MCP server for AI coding agents.

Github Copilot modernization tools for MCP

Core of ai-agent-context: repository knowledge graph, architecture detection, incremental scanning, deterministic .agent/ serialization. Local-first, zero runtime dependencies, no LLM required.

64 CQRS tools exposing 234 GitLab operations across 26 entity types

MCP server for interacting with CodeRabbit AI reviews on GitHub pull requests. Enables LLMs to analyze, implement, and resolve CodeRabbit suggestions programmatically.

Memory layer for AI coding assistants. Indexes git history + code, exposes via MCP.

Git-native context layer for AI coding agents: scan a repository into a structured, versionable .agent/ knowledge layer and query it (CLI + programmatic API).

Solve it once. From then on, your AI knows. Experience for coding agents, hosted in the EU.

MCP server for AI-assisted pull-request review on Gitea and Bitbucket Server.

MCP server for Creatio CRM. Connect Claude Desktop, ChatGPT, and GitHub Copilot to Creatio via Model Context Protocol and OData v4.

Model Context Protocol (MCP) server that enables your MCP client (e.g., Claude Desktop, Cline, Roo Code, Cursor, Windsurf, etc.) to interact with GitHub repositories using your GitHub personal access token.