A MCP server that transforms code repositories from GitHub, GitLab, or local directories into LLM-friendly formats, preserving context and structure for better AI processing.
A MCP server for managing and storing code snippets in various programming languages, allowing users to create, list, and delete snippets via a standardized interface.
An MCP server implementation that integrates with Backlog API, enabling project management operations including issues, projects, and wikis through natural language interactions.
An MCP server that enables LLMs to autonomously reverse engineer applications through Cutter, allowing them to decompile binaries, analyze code, and rename methods programmatically.
An MCP server that scans codebases to extract structural information (classes, functions, etc.) with flexible filtering options and outputs in LLM-friendly formats.
A customized MCP server that enables integration between LLM applications and documentation sources, providing AI-assisted access to LangGraph and Model Context Protocol documentation.