MCP Clients

Manage MCP server configs and behavioral rules across AI coding platforms with automatic detection and version control, requiring no dependencies.

Structure AI-assisted TDD with a plan-apply-unify loop for clearer tests, tighter context, and steady code progress

Track AI-assisted projects in your terminal with a lightweight TUI and CLI.

Sync agent settings across MCP and Node.js tools with a simple TypeScript package

🚀 Execute SSH commands and manage SFTP operations on remote servers easily with this Model Context Protocol server for AI assistants.

Unity MCP acts as a bridge, allowing AI assistants (like Claude, Cursor) to interact directly with your Unity Editor via a local MCP (Model Context Protocol) Client. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.

Query Aliyun SLS logs in natural language with MCP for Cursor and Claude Desktop; support multi-region, read-only access, and zero-code setup

Provide AI assistants access to Reddit data using a Model Context Protocol server without requiring API keys.

Expose how AI turns schoolwork into empty proof of learning and challenge the limits of AI in education

Provide answers from personal documents using RAG with FAISS, Wikipedia integration, and LLM fallback in a simple Streamlit interface.

Enable AI agents to send, receive, and manage real email autonomously using 27 email tools via Model Context Protocol without signup or API keys.

Enable runtime analysis and control of AI agents with a dynamic process hacking server similar to Process Hacker for enhanced debugging and integration.

Retro CLI for testing Mistral Small 4 against local llama.cpp with the official Mistral SDK and MCP tools.

Orchestrate multi-agent workflows with LangGraph for Python 3.11+, with a lightweight, tested framework for routing tasks and agents

Organize many standalone repos on one machine with a local-first workspace structure, shared caches, and filesystem-based context