ToolHive is a lightweight tool designed to simplify the deployment and management of MCP servers, providing ease of use, consistency, and security.

Rust MCP Filesystem is a high-performance, asynchronous, lightweight MCP server based on Rust, designed for efficient file system operation processing, providing a secure read-only default setting, advanced global search, and nested directory support.

ezmcp is a lightweight MCP server framework designed for SSE, providing a decorator syntax similar to FastAPI to simplify the process of creating MCP - compatible servers.

This project is a Model Context Protocol (MCP) adapter used to connect large language models (LLMs) with the Lisp development environment, supporting interaction through the lightweight Lisply protocol. The main functions include Lisp code evaluation, HTTP requests, and debugging support, suitable for scenarios such as AI-assisted symbolic programming and CAD design automation.

A lightweight server based on the Model Context Protocol (MCP), designed for image processing and cloud upload, supporting resizing, conversion, optimization, and uploading to multiple cloud storage services, suitable for AI assistants and automated workflows.

OtterBridge is a lightweight MCP server used to connect applications with multiple large language model providers, supporting models such as Ollama, with a simple and flexible design.

The Maya MCP Server project implements the Model Context Protocol (MCP), allowing AI assistants to control Autodesk Maya through natural language. This project features a lightweight design, does not require installing plugins in Maya, communicates via Maya's default MEL script port, and supports dynamically adding new tool functions.

A lightweight MCP server designed specifically for LLMs, used for quickly testing and exploring REST APIs. It allows direct interaction with API endpoints through natural language without writing test code.

TaskBoardAI is a lightweight, file - based kanban tool designed for AI agents, supporting JSON file storage and MCP server integration, and providing rich kanban management functions.

Unity Code MCP is a high - performance MCP server built on Rust, designed for AI agents to independently write Unity code, providing lightweight and efficient compilation feedback and test execution capabilities.

xsMCP is a lightweight MCP SDK designed to simplify client/server construction, avoid relying on large libraries, focus on streaming HTTP communication, be compatible with Web standards, and support multiple server frameworks.

The openwrt-mcp-server is a lightweight and scalable MCP protocol server designed for OpenWrt embedded devices. It supports both MQTT and HTTP protocols, enabling two-way JSON-RPC communication between devices and AI systems, with security authentication and a modular architecture.

PRIMS is a lightweight open - source MCP server designed for LLM agents, providing a secure one - time Python code sandbox execution environment that supports dependency installation and file mounting.

A lightweight and secure Docker image for the MCP Server based on Node.js, specifically designed for Choreo deployment.

A lightweight JavaScript client for interacting with Stripe's Model Context Protocol (MCP) server to create payment links. This client is designed to integrate Stripe payment services within its own MCP server.

The Gaggiuino MCP Server is a lightweight protocol service designed for the open-source controller of the Gaggia Classic coffee machine, providing real-time coffee making data access and analysis functions.

This project showcases a lightweight multi-agent AI system that combines the Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) for business analysis. The system provides statistical analysis of business data and knowledge retrieval functions for natural language queries by coordinating multiple dedicated tool servers. It features a modular design that facilitates expansion and the switching of LLM backends.

This is an MCP server designed for the Smart Connections plugin, providing read-only semantic search functionality for the Obsidian knowledge base, emphasizing security and lightweight implementation.