The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.

ACI.dev is an open-source AI agent tool infrastructure that provides multi-tenant authentication, permission management, and dynamic discovery functions for over 600 pre-integrated tools. It supports calls through a unified MCP Server or a lightweight SDK, simplifying the development of production-level AI agents.

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

A lightweight MCP server that provides real-time weather data query and parsing functions for AI assistants such as Claude. Supports both local and remote deployment methods, including Docker containerization solutions.

Foundry MCP Server is a lightweight and fast MCP protocol server that provides Solidity development capabilities based on the Foundry toolchain for LLM assistants, including network interaction, contract operations, and Solidity development functions.

Lightweight unified interface service for multi-model LLMs

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.

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

Foundry MCP Server is a lightweight MCP service based on the Foundry toolchain, providing Solidity development and blockchain interaction capabilities for LLM assistants, including functions such as contract analysis, transaction execution, and network management.

A lightweight command - line tool for managing the MCP configuration of Claude Desktop, supporting server switching, preset management, and backup and restoration functions.

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.

A lightweight MCP server for returning the username of the current system as the user identity.

Atom of Thoughts is a reasoning framework based on the decomposition - contraction mechanism. It systematically solves complex problems by decomposing them into atomic units and provides both a full - version and a lightweight - version tool.

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 MCP server based on Python that interacts with local ComfyUI via WebSocket to enable programmatic image generation by AI agents.

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.

Docdex is a lightweight local document indexing and search daemon that builds an index of Markdown/text files on the local disk for each project and provides search fragments via HTTP API or CLI without external services or uploads.

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.

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_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 MCP server that helps users understand the structure of large JSON files by generating a JSON structure skeleton without having to deal with the full data payload.

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.

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.

A lightweight Kubernetes MCP server that provides natural language processing and API access functions, and operates cluster resources by combining kubectl commands and the Python client.

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.

MCP Access Point is a lightweight protocol conversion gateway tool used to establish a communication bridge between traditional HTTP services and MCP clients, supporting protocol conversion without modifying server interfaces.

Kali MCP Server is a lightweight API bridging tool that connects MCP clients to the Kali Linux terminal, enabling AI - assisted penetration testing and CTF challenge automation.

MCP MySQL is a lightweight local MySQL database service that provides RESTful API and SSE support, facilitating Cursor integration for database operations.

A lightweight server for executing PowerShell scripts and returning results, supporting AI assistant integration

TG_MCP is a lightweight Python interface that exposes TigerGraph operations (queries, schemas, vertices, edges, UDFs, etc.) as structured tools and URI - based resources for MCP agents to use.

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.

A lightweight server that exposes Mac system information through simple APIs to help AI assistants obtain real-time hardware and system data, mainly used for AI and deep learning experiments by Mac users.

A lightweight mathematical expression calculation service based on the FastMCP framework, supporting basic operations and built-in constants, running on the Bun runtime.

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

A lightweight MCP server that provides Douyu live room information query and keyword search functions, supporting Markdown table output.

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.

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.

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.

RuleGo-Server is a lightweight, high-performance, modular automated workflow platform based on RuleGo. It supports visual orchestration, hot updates, AI support, and multi-tenancy, and is suitable for various scenarios such as iPaaS, API orchestration, and IoT rule engines.