K8M is an AI-driven lightweight Kubernetes console tool that integrates large model capabilities, supports multi-cluster management, and provides MCP services.

The AWS MCP Server is a lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), providing functions for querying AWS CLI documentation and executing commands.

Axone's MCP server is a lightweight implementation that exposes Axone's capabilities through the standardized Model Context Protocol (MCP), serving as a gateway for AI tools to access the data universe.

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.

mcp_ctl is a powerful package management tool for MCP (Model Context Protocol) servers, supporting installation, deletion, searching, and listing of servers. It provides cross - platform support and lightweight, efficient management.

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.

MCP - URL2SNAP is a lightweight Model Context Protocol (MCP) server that allows LLMs to capture web page screenshots by specifying URLs and return image access URLs, simplifying the process of generating and sharing web page snapshots.

The MCP GitHub Reader is a lightweight MCP server that integrates the content of GitHub repositories into the context of large language models, providing repository analysis, file access, intelligent filtering, and search functions.

Memgraph MCP Server is a lightweight implementation of the Model Context Protocol (MCP) server, aiming to connect the Memgraph graph database with large language models (LLMs) and provide Cypher query execution and schema information acquisition functions.

MCP Email Verify is a lightweight server based on the Model Context Protocol (MCP) for real-time verification of email address validity. It checks email format, domain name validity, and deliverability through AbstractAPI and is suitable for integration into AI applications such as Claude Desktop. The project offers simple deployment and MCP compatibility, supporting Python environments.

MCPollinations is a multimodal AI service based on the Model Context Protocol (MCP) that supports generating images, text, and audio through the Pollinations API. It offers a lightweight service that does not require authentication, is compatible with multiple AI models, and supports image saving and Base64 encoding return.

The SQL Server MCP Client is a lightweight database query tool implemented based on .NET Core, providing SQL query, table schema viewing, and database connection management functions through the Model Context Protocol.

A lightweight Model Control Protocol (MCP) server based on Cloudflare Workers for AI agents to interact with the Vercel API

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.

HydraMCP is a lightweight and scalable network security toolkit that connects AI assistants with security tools through the Model Context Protocol (MCP), supporting AI - assisted security research, scanning, and analysis.

The Wrike MCP server is a lightweight implementation used to connect the Wrike project management platform with language learning models (LLMs), providing API interfaces for task querying, comment adding, task creation, etc.

A code analysis server based on the MCP protocol that helps AI models understand and analyze codebases through natural language conversations, providing lightweight code exploration and understanding capabilities.

This is a lightweight Model Control Protocol (MCP) server based on Cloudflare Workers, used to connect agents (such as Cursor) with the Neon REST API, and supports developers to extend functions through tools.

A set of lightweight programs including weather services and financial analysis modules, providing specific functions through a standardized model context protocol.

MCP Bridge is a lightweight, LLM-independent RESTful proxy for connecting to multiple Model Context Protocol (MCP) servers and exposing their functions through a unified REST API. It solves the problem that platforms such as edge devices, mobile devices, and web browsers cannot efficiently run MCP servers, and provides optional risk-based execution levels, including security controls such as standard execution, confirmation workflows, and Docker isolation.

MCP Server Notifier is a lightweight notification service integrated with the Model Context Protocol (MCP), which can send Webhook notifications when an AI agent completes a task. It supports multiple Webhook providers (e.g., Discord, Slack, Teams, etc.), provides features such as image support, multi - project management, and custom messages, and is easy to integrate with AI tools (e.g., Cursor).

MCP URL2SNAP is a lightweight Model Context Protocol (MCP) server that allows LLMs to capture web page screenshots by specifying URLs and return image access links. This project simplifies the process of generating and sharing web page snapshots and is suitable for integration into AI applications such as Claude Desktop or automated workflows.

The MCP Crew AI Server is a lightweight Python - based server for running and managing CrewAI workflows, supporting communication with large language models through the MCP protocol.

Cloudera AI Agent Studio MCP Server is a lightweight model context protocol bridge service that can expose Agent Studio instances as a set of callable tools, supporting dynamic creation and management of workflows.

The Open MCP Auth Proxy is a lightweight authorization proxy for Model Context Protocol (MCP) servers. It verifies authorization tokens through OAuth - compatible identity providers and enforces MCP authorization specifications.

The MCP-Express-Adapter is a lightweight middleware for creating MCP (Model Context Protocol) servers on Express.js servers. It supports SSE communication, tool implementation, header-based authorization verification, and allows hosting multiple MCP client endpoints on the same Express server.

This is a lightweight Model Control Protocol (MCP) server based on Cloudflare Workers, used to enable agents (such as Cursor agents) to interact with the WorkOS API. The project provides automated deployment and tool extension capabilities.

The Patchright Lite MCP Server is a lightweight browser automation service built on the Patchright Node.js SDK, providing stealthy web browsing and interaction capabilities for AI models through the Model Context Protocol.

A lightweight Model Control Protocol (MCP) server based on Cloudflare Workers for interacting with Cloudflare services through the API.

A lightweight Model Context Protocol (MCP) system based on FastAPI, including a server and a client, communicating through SSE and supporting tool invocation.

A lightweight MCP server that allows large language models to interact with SQLite databases autonomously

A lightweight client application based on the local OLLAMA model, integrating multiple MCP proxy tools through the BeeAI framework, providing a chat interface and database operation functions.

A lightweight Model Control Protocol (MCP) server based on Cloudflare Workers, used to interact with the Cloudflare REST API through agents (such as Cursor).

A lightweight MCP server that supports the Garak LLM vulnerability scanning tool, providing functions such as listing model types, models, and attack probes, and can run attack tests to generate reports.

MCP-RB is a lightweight Ruby framework for implementing MCP (Model Context Protocol) servers, providing a Sinatra-like DSL syntax and supporting core functions such as resource definition and tool calls.

pymcp-sse is a lightweight Python library that implements the Model Context Protocol (MCP) based on HTTP/SSE transmission, providing functions such as modular framework, tool registration and discovery, server push, and LLM integration.

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.

eShopLite is a lightweight .NET-based eCommerce platform that offers features such as semantic search, cloud platform integration, and intelligent inference models to help developers quickly build and scale online stores.

A lightweight server based on FastAPI that implements the Model Context Protocol (MCP) for EKS clusters, providing a standardized EKS operation interface for GenAI agents and supporting multiple authentication methods and Kubernetes resource management.