The Notion MCP Server is a middleware service that connects the Notion API with the LLM, optimizing interaction efficiency through Markdown conversion.

MCP Go is a server-side framework for the Model Context Protocol (MCP) implemented in Go, used to connect LLM applications with external data sources and tools. It provides core functions such as resource management, tool invocation, and prompt templates, and supports session management and middleware extension.

The Supabase MCP Server is a tool that connects Supabase projects with AI assistants. It standardizes the interaction between large language models (LLMs) and external services through the Model Context Protocol (MCP), enabling functions such as database management, configuration acquisition, and data querying.

Playwright MCP is a browser automation server based on Playwright that enables interaction between LLM and web pages through structured data rather than pixel input.

An MCP server based on Playwright, providing browser automation capabilities for LLMs

Supermemory is an AI-driven memory engine designed to provide contextual knowledge for LLMs by integrating personal data, enabling intelligent management and retrieval of information.

Eino is an LLM application development framework designed specifically for Golang, aiming to simplify the AI application development process through concise, scalable, reliable, and efficient component abstraction and orchestration capabilities. It provides a rich component library, powerful graphical orchestration functions, complete stream processing support, and a highly scalable aspect mechanism, covering the full-cycle toolchain from development to deployment.

The WhatsApp MCP Server is a tool that connects personal accounts via the WhatsApp Web Multi-Device API. It supports message search, sending, and multimedia processing, and integrates with LLMs such as Claude.

Opik is an open-source LLM evaluation framework that supports tracking, evaluating, and monitoring LLM applications, helping developers build more efficient and cost-effective LLM systems.

Serena is a powerful open - source coding agent toolkit that can transform LLMs into full - fledged agents that can work directly on codebases. It provides IDE - like semantic code retrieval and editing tools, supports multiple programming languages, and can be integrated with multiple LLMs via the MCP protocol or the Agno framework.

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.

Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.

This is a curated list of Web3 Model Context Protocol (MCP) servers, covering multiple categories such as chain interaction, trading, DeFi, market data, tools, and social. MCP is an open protocol that standardizes how applications provide context to LLMs, similar to the USB - C port for AI applications. DeMCP is the first decentralized MCP network, focusing on providing self - developed and open - source MCP services for agents, supporting cryptocurrency payments, and redefining the security and reliability of MCP by combining TEE and blockchain registries.

mcp-get is a command-line tool used to discover, install, and manage MCP servers, simplifying the connection between LLMs and external data sources.

The MCP LLMS - TXT Documentation Server is an open - source tool that allows developers to control IDE and application access to llms.txt document resources through the MCP protocol.

The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.

The MCP MongoDB Server is a model context protocol service that allows LLMs to interact with MongoDB databases, providing functions such as collection schema checking, query execution, and intelligent ID handling, and supporting read - only mode and security configuration.

An MCP server for MySQL databases based on NodeJS, providing database schema checking and SQL query execution capabilities for LLMs.

Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.

The Linear MCP Server is a deprecated Model Context Protocol server used to integrate with the Linear issue tracking system through the MCP protocol, allowing LLMs to interact with Linear issues.

Video Editor MCP is a video editing server that provides video upload, search, generation, and editing functions, supporting operations through the LLM and Video Jungle platforms.

Claude Debugs For You is a VS Code extension that enables interactive code debugging with LLMs (such as Claude) through the MCP server.

The Ableton Live MCP Server is a server that implements the Model Context Protocol (MCP). It communicates with Ableton Live via the OSC protocol and provides a tool interface for LLMs to control Ableton Live.

Lightweight unified interface service for multi-model LLMs

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.

This is an AI development tool project based on Docker containers. It uses Markdown files to write complex workflows, combines Dockerized tools with the LLM model selected by the user, and implements a workflow of multi - model agents and project - priority design.

LLM Context is a tool that helps developers quickly inject code/text project content into the chat interface of large language models, supporting intelligent file selection and multiple integration methods.

An MCP protocol server connecting Home Assistant with LLMs, enabling natural language control and monitoring of smart homes

A language server tool based on the MCP protocol, providing precise code analysis capabilities for LLMs

MCPEngine is a production-grade implementation of the Model Context Protocol (MCP), providing standardized interfaces for large language models (LLMs). It supports functions such as OAuth authentication, resource management, and tool invocation, aiming to become the 'REST of the LLM world' framework.

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

An MCP server based on Playwright that provides browser automation capabilities for LLMs

ATLAS is an intelligent task and knowledge management system built on TypeScript and Neo4j, designed for LLM agents, providing a three - layer management architecture for projects, tasks, and knowledge.

MongoDB Lens is a local MCP server that enables comprehensive operations on MongoDB databases, including querying, aggregation, and performance optimization, through interaction with LLM in natural language.

XiYan MCP Server is a Model Context Protocol server based on XiYan - SQL, which supports querying databases through natural language, provides multiple LLM model configurations and database connection methods, and is suitable for local or remote deployment.

Chroma is an open-source vector database that provides memory support for Python and JavaScript LLM applications, supporting multiple client types and document operations.

adb - mcp is a proof - of - concept project aiming to provide an interface for LLMs through the MCP protocol to create an AI agent for controlling Adobe tools (such as Photoshop and Premiere). This project includes the MCP server, Node command proxy server, and Adobe application plugins, supporting natural language instruction operations on Adobe software and suitable for image and video editing automation.

A generative AI support plugin for Unreal Engine that integrates multiple cutting - edge LLM/GenAI model APIs, providing AI integration layer support in game development, including chat and structured output functions for models such as OpenAI, Claude, and Deepseek, and supporting the Model Control Protocol (MCP) to achieve advanced functions such as scene object control and blueprint generation.

This project is a server - side implementation based on the Model Context Protocol (MCP), providing seamless integration with the Milvus vector database and enabling multiple LLM applications such as Claude Desktop and Cursor to access database functions through a standardized protocol.

A protocol server that supports interaction between LLMs and GraphQL APIs, providing schema introspection and query execution functions