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.

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.

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.

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.

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

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

This project provides a series of Model Context Protocol servers based on Quarkus/Java to extend the capabilities of MCP-enabled LLM applications, including various services such as JDBC database interaction, JVM monitoring, and file system operations.

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.

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.

An MCP server that enables LLM applications to interact with macOS through AppleScript, providing a standardized interface to control various system functions.

The GPT Researcher MCP Server is an AI research server based on the MCP protocol. It can provide high-quality and optimized research results for LLM applications through in-depth web search and verification.

The Zen7 Payment Agent is the first practical implementation of a DePA decentralized payment agent. It adopts a multi - agent collaborative architecture, supports the A2A and MCP protocols, and provides multi - chain and multi - currency payment solutions for AI agents and Dapp applications, enabling automated cryptocurrency payments and LLM - driven intent recognition.

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.

Open Data MCP is an open - source project aiming to quickly connect public data sets to LLM applications through the MCP protocol, enabling convenient access to open data and community - based publishing.

A tool that exposes a secure local Python executor through the MCP protocol, providing code interpreter functionality for LLM applications

The Telegram MCP Server is a Node.js-based service that allows LLMs to send notifications and receive user responses via Telegram and supports integration with MCP-compatible applications such as Cline.

cutterMCP is a model context protocol server designed for LLMs for autonomous reverse engineering applications.

This project demonstrates a server example developed based on the MCP Java SDK. It does not require the Spring framework and supports providing data and services for LLM applications through the MCP protocol. It includes examples of interacting with MySQL and operating on the file system.

Model Context Protocol (MCP) .NET sample library, demonstrating how to use the MCP protocol to standardize the context interaction of large language models (LLMs) in .NET applications. It includes examples such as a YouTube subtitle extractor, supports flexible switching of LLM providers, and enables the construction of AI workflows.

The Kafka MCP Server is an Apache Kafka Model Context Protocol (MCP) server implemented in Go. Through a standardized interface, it enables LLM models to perform Kafka operations. It provides functions such as producing/consuming messages, managing topics and consumer groups, and monitoring cluster health. It supports multiple security authentication methods and can be integrated with AI applications such as Cursor and Claude.

The Model Context Protocol (MCP) is a protocol for seamless integration of LLM applications with external data sources. It provides .NET templates to simplify the development process, supports multiple operating modes, and includes a visual debugging tool.

cutterMCP is a model context protocol server designed for LLM, supporting autonomous reverse engineering applications and integrating the core functional tools of Cutter.

This project is a server based on the Model Context Protocol (MCP), which realizes seamless integration with the Milvus vector database and provides a standardized data access interface for LLM applications. It supports direct invocation of Milvus's search, query, and management functions in applications such as Claude Desktop and Cursor.

CodeBox-AI is a secure Python code execution service that provides self-hosted code interpreter functionality, supports conversational code execution, dynamic package installation, and visual output, and integrates the MCP protocol for interaction with LLM applications.

A reference project implementing the Model Context Protocol (MCP), providing a standard for tool calls between LLMs and applications, including local and remote call implementations, and integrating AWS Bedrock and Claude 3.7.

BugBounty MCP Server is a comprehensive security testing tool that interacts with LLM through natural language, providing over 92 penetration testing tools, covering functions such as reconnaissance, scanning, vulnerability assessment, web applications, network security, OSINT, vulnerability exploitation, and report generation.

The Eunomia MCP Server is an open - source data governance tool for data policy management in LLM applications, supporting integration with the MCP server.

The MCP Python SDK is a Python development toolkit that implements the Model Context Protocol (MCP), allowing developers to build standardized MCP servers and clients to provide context data, tools, and interaction templates for LLM applications.

A Rust-based MCP CLI server template for implementing standardized connections between LLM applications and external data sources and tools.

An implementation of an Etherscan API client based on Go language, supporting multi - chain blockchain data query services for LLM applications through the Model Context Protocol (MCP).

This project is an implementation of an MCP server based on OpenSearch, providing semantic memory storage and retrieval functions for LLM applications such as Claude, and supporting the connection of AI tools and data sources through a standard protocol.

The Scrapeless MCP Server is an open - source protocol project that seamlessly integrates LLM applications with external data sources and tools (such as Google Search) in a standardized way, providing dynamic context retrieval capabilities.

The Browserbase MCP Server is an open - source project based on the Model Context Protocol (MCP), providing cloud browser automation capabilities, supporting web page interaction, data extraction, screenshot taking, and JavaScript execution, etc., to help LLM applications seamlessly integrate with external data sources and tools.

KiMCP is a server project based on the Model Context Protocol (MCP), aiming to integrate local Korean APIs (such as Naver, Kakao, TMAP, etc.) into LLM applications, providing various service functions including blog search, news retrieval, and map navigation.

Ollama MCP Server is a protocol server that connects local Ollama LLM models with MCP - compatible applications, providing functions such as model management and conversation interaction.

The Xcode MCP server provides an interface service for LLM applications to directly build and test Xcode projects through the model context protocol

An MCP server that provides a Python code execution environment, supporting code running, package installation, and file operations, suitable for integration with LLM applications.

This project implements a ClickHouse MCP server for seamless integration of the ClickHouse database with AI applications such as large language models (LLMs), supporting functions such as querying databases and obtaining table structures.

The MCP Rust CLI server template is a simple application template that demonstrates how to implement an MCP CLI server in Rust, used to connect LLM applications with external data sources and tools.

The Ollama MCP Server is a powerful bridge that seamlessly integrates Ollama with the Model Context Protocol (MCP), enabling Ollama's local LLM capabilities to be easily incorporated into MCP - driven applications.