MCP Clients

Manage concurrent LLM requests with priority queues, multi-model routing, fault tolerance, and semantic caching for efficient AI workflows.

Build smart Raspberry Pi projects using Python with Gemini protocol integration for efficient and lightweight network communication.

Unify MCP servers behind one endpoint with lazy loading, Python plugins, and role-based filtering for lower overhead and simpler config

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.

鵲 - Bridge Claude Desktop to Streamable HTTP MCP servers via mcp-proxy

A high-performance proxy middleware to fix Qwen3.5 tool calling issues and enable seamless MCP client compatibility.

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

Analyze FPL data for captain picks, transfers, chip timing, and league insights with real-time Python MCP tools

Curate and access MCP servers and tools tailored for Korea’s legal, commerce, public data, finance, and real estate sectors.

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

Build and manage Claude agent workflows with a TypeScript and SvelteKit app for structured AI automation and local SQLite storage

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

Enable rapid multi-screen UI prototyping and incremental development using Vercel’s Model Context Protocol with v0-platform-mcp.

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

Build Adaptive Cards with MCP tools for fast, structured UI creation in TypeScript