MCP Clients

Enable AI agents to interact and control Unreal Engine using a precise client protocol for seamless communication and expanded capabilities.

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.

Provide a RESTful API gateway that manages authentication and controls request rates for secure and efficient service access.

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

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

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

🤖 Enable AI-powered phone calls and assistant management with the Famulor MCP server for seamless communication through compatible clients.

Demonstrate AI agents discovering, trusting, and transacting services autonomously using on-chain reputation and payment.

A Python-based AI tool that optimizes resumes using multiple AI providers (Mistral, OpenAI, Anthropic, DeepSeek). It provides both a CLI interface and a Flask-based RESTful API to enhance resume conte

Manage school data locally with MCP, LangGraph, and Ollama for natural language queries, PDF reports, and privacy-first admin control

Run browser tasks for OpenClaw with HITL control, incident recovery, and native browser ops automation

[Upload] Xiaozhi MCP Client: AI service connection and sensor tool registration for ESP32/K10 on Mind+ 2.0

Build multi-microservice systems with AI coding tools using folders, markdown, and no custom tooling.

Enable visual feedback for AI coding agents in Laravel with backend API, MCP tools, JSON storage, and a Blade toolbar component.