Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.

This is a continuously updated curated list of MCP servers, covering multiple categories such as browser control, art and culture, cloud platforms, command - line, communication, customer data platforms, databases, developer tools, data science tools, file systems, finance and fintech, games, knowledge and memory, location services, marketing, monitoring, search, and utilities. Each project comes with a GitHub link and the number of stars, making it easy for users to quickly understand and use.

Each wiki file should store additional resources (such as images) corresponding to its path in the .resource directory and use git lfs for version management.

mcpo is a simple and easy-to-use proxy tool that can quickly convert any MCP tool into an OpenAPI-compatible HTTP server, enabling access through standard RESTful interfaces and facilitating integration with LLM agents and applications.

Klavis AI is an open - source project that provides a multi - functional computing platform (MCP) for use on Slack, Discord, and web pages. It allows non - technical users to easily configure AI workflows, and developers can expand and build on it.

MCPAdapt is an open - source project aiming to seamlessly integrate the tools of over 650 MCP servers into various agent frameworks, enabling developers to easily use these tools in their agent workflows.

automcp is a tool that can easily convert existing AI agent frameworks (such as CrewAI, LangGraph, etc.) into MCP servers to achieve standardized interface access. It supports the adaptation and deployment of multiple frameworks and provides functions for quick startup and configuration.

The HowToCook - MCP Server is a project that transforms an AI assistant into a personal chef. Based on the HowToCook recipe data, it provides functions such as recipe query and meal recommendation for AI clients through the MCP protocol, solving the problem of 'what to eat today'.

A prototype of the MCP server based on Uber Eats, enabling seamless integration between LLM applications and external tools

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

The Quarkus Model Context Protocol (MCP) Server is an open-source protocol server that supports easy integration of LLM applications with external data sources and tools through declarative and programmatic APIs.

EasyMCP is a TypeScript library that simplifies the development of Model Context Protocol (MCP) servers. It provides a concise API and experimental decorator support, automatically handling type inference and template configuration.

Open Data MCP is an open - source project aiming to quickly connect public data sets to LLM applications through the MCP protocol. The project provides a CLI tool to achieve a 2 - minute connection (currently supporting Claude) and establishes a community collaboration framework that allows developers to easily contribute and publish public data sets. The core goal is to build an infrastructure that connects all LLM applications with millions of public data sets.

A NestJS module for easily exposing AI tools, resources, and prompts via the Model Context Protocol (MCP), supporting multiple transport types and automatic discovery and registration functions.

The Quickchat AI MCP server allows users to integrate Quickchat AI agents into various AI applications, such as Claude Desktop and Cursor, and achieve seamless connection through the Model Context Protocol (MCP). Users can easily configure and manage MCP services through the Quickchat AI dashboard without complex deployment.

JR East Train Delay Information MCP Server

The NASA MCP Server is a server that follows the Model Context Protocol specification, providing a standardized interface for AI models to access more than 20 public API data sources of NASA, including astronomical photos, Mars exploration data, Earth observation images, etc. The project provides unified data format conversion, parameter validation, and rate limit management, and supports multi - platform operation.

An AutoCAD integrated server based on the MCP protocol, supporting the control of AutoCAD through natural language for drawing, layer management, and drawing analysis.

The PDF Reader MCP service provides AI agents with a secure and flexible function to extract content from PDF files, including text, metadata, and page count information. It supports local and remote PDF files and is easy to integrate into the MCP environment.

This project is a Python server based on the MCP protocol, providing functions for querying and calculating soil and water conservation technical specifications, including engineering calculations such as Manning's coefficient, earth pressure coefficient, drainage ditch flow velocity, and slope stability, as well as the conversion between latitude and longitude and UTM/TWD97 coordinates in Taiwan region. It is suitable for AI application integration.

A Model Context Protocol (MCP) server implemented for NebulaGraph, providing seamless access to NebulaGraph, supporting graph exploration, querying, and shortcut algorithms, and being easily integrated with LLM tool systems.

This project implements a customizable MCP server for executing the RTE protocol, supporting multiple terminal types and SSL connections, and providing Java utility classes for easy function expansion.

The Multiverse MCP Server is a middleware server that supports running multiple MCP server instances of the same type simultaneously. Each instance has an independent namespace and configuration, achieving a completely isolated operating environment.

A TypeScript - based MCP server quick - start template that provides an easy - to - use development foundation.

This is a simplified JavaScript MCP server template for integrating with Claude Desktop. It provides basic tools and protocol implementation, making it easy for developers to quickly set up a custom MCP service.

The Earthdata MCP Server is a server implementation based on the Model Context Protocol, designed specifically for interacting with NASA Earthdata, providing efficient geospatial dataset discovery and retrieval tools.

The Feishu MCP Server is a service based on the Model Context Protocol that provides Feishu API integration, enabling AI models to easily interact with Feishu services.

Uniswap Pools MCP is an MCP server for querying Uniswap liquidity pools/trading pairs. It supports obtaining pool information for V2, V3, and V4 versions through token addresses and returns the results in a structured format for easy integration and analysis.

EasyChatDM is an educational project for creating simple MCP server tools, aiming to provide random decision - making tools for D&D games through generative AI.

The JS MCP Server is a server component based on JavaScript and WASM, providing an easy - to - integrate SDK and supporting custom processors (tools) and interactions with external services (such as Postgres and HTTP).

A FastMCP server implementation for connecting to the Replicate API, providing standardized interfaces to access multiple AI models. Currently, it supports the image generation function and is in the early development stage.

Provide an MCP server for executable file analysis based on Detect It Easy, allowing AI agents to analyze file formats and features through the DIE tool.

Neva is an easily configurable MCP server and client SDK in Rust, supporting tool invocation and resource management. It is currently in the preview stage.

Adonis MCP is a package designed for the AdonisJS framework that supports the Model Context Protocol (MCP) and enables easy building of remote MCP servers via Server - Sent Events (SSE).

Neo N3 Model Context Protocol (MCP) is a standardized interface protocol for the interaction between AI agents and applications and the Neo N3 blockchain. It provides an easy - to - use server implementation, supports direct running via npx, and does not require manual environment configuration. The protocol includes functions such as blockchain information query, wallet management, asset transfer, and smart contract interaction, and additionally provides an HTTP server to expose functions in the form of RESTful APIs.

The mkinf SDK is a powerful toolkit that can easily integrate MCP servers into applications and access professional AI capabilities through a unified interface.

The MCP Easy Installer is a multi - functional tool for searching, installing, configuring, repairing, and uninstalling MCP servers. It supports cross - platform operations and simplifies the development process.

easyMcp is a tool that helps developers quickly build an extensible MCP server framework, supports two startup modes (stdio and SSE), and simplifies the development process.

An MCP server that supports standard dice notation, providing dice - rolling functionality for large language models and returning the results and sum of each roll.

The Feishu MCP Server is an MCP - based service that provides Feishu API integration, enabling AI models to easily interact with Feishu services. It supports multi - dimensional table operations and multi - mode communication.