Quick-start Auto MCP is a tool that helps users quickly register the Anthropic Model Context Protocol (MCP) in Claude Desktop and Cursor. It provides functions such as RAG document search, Dify workflow, real-time web search, and supports one-click generation of JSON configuration files.

NPM Sentinel MCP is an AI-based NPM package analysis server that provides real-time security scanning, dependency analysis, performance evaluation, etc. It supports integration with Claude and Anthropic AI to optimize NPM ecosystem management.

MCP Firebird is a service that implements the Anthropic Model Context Protocol (MCP) for Firebird databases, allowing LLMs to securely access and manipulate databases.

A Claude - based code analysis tool for analyzing open - source projects and generating intelligent merge strategies

This project compiles a list of popular Model Context Protocol (MCP) servers based on Smithery.ai usage data. MCP is an open-source standard developed by Anthropic for establishing secure two-way connections between data sources and AI tools.

This project implements a Model-Context Protocol (MCP) server and client for MinIO object storage, providing a standardized interaction method, supporting access to text/binary files, querying bucket lists, object operations, etc., and includes a basic client and an Anthropic AI integrated client.

oatpp-mcp is an implementation of Anthropic's Model Context Protocol (MCP) based on the Oat++ framework, supporting auto-generated API tools, STDIO and HTTP SSE transmission methods, as well as server functions such as prompts, resources, and tools.

An AI-based NPM package analysis MCP server that provides real-time security scanning, dependency analysis, performance evaluation, and other functions. It integrates Claude and Anthropic AI technologies to optimize the management of the npm ecosystem.

Think MCP is a project that implements an MCP server, providing the 'think' tool to support AI agents in performing structured reasoning in complex tasks, inspired by Anthropic's research. This tool helps AI process information, backtrack, or adhere to strategies by recording the thinking process, and is suitable for scenarios such as tool output analysis, policy-intensive environments, and sequential decision-making.

A minimal Anthropic MCP protocol client and server implementation based on Python and Pip for debugging reference in VSCode and Windows environments.

The MCP Anthropic Server is a server - side project that provides tools for interacting with Anthropic's experimental prompt engineering API.

This project is an MCP client based on LangChain, used to demonstrate how to call MCP server tools through the LangChain ReAct Agent. It supports the LLMs of Anthropic, OpenAI, and Groq and provides the function of converting MCP tools to LangChain tools.

An MCP server based on Anthropic research, providing the 'think' tool capability for Claude AI and enhancing the handling of complex reasoning tasks.

A full-stack application that integrates the Model Context Protocol (MCP) with Anthropic's Claude LLM, providing an interactive chat interface and utilizing MCP tools.

The Zotero MCP Server is a service that enables MCP clients (such as the Anthropic Claude application) to interact with the local Zotero literature library, supporting functions such as searching for literature and managing notes.

The MCP Server for Asana is a server that implements the Model Context Protocol, allowing interaction with the Asana API through MCP clients (such as Anthropic's Claude desktop application) and providing management functions for tasks, projects, and comments.

Deep-Co is a cross-platform chat client developed based on Compose Multiplatform. It supports multiple LLM API providers, including OpenRouter, Anthropic, Grok, OpenAI, etc., and is compatible with OpenAI API and local models. It has functions such as chat record management, prompt management, role adaptation, TTS, etc., and supports multiple languages and theme customization.

The K8s MCP Server is a Docker-based server that implements Anthropic's Model Context Protocol (MCP), allowing Claude to run Kubernetes CLI tools (such as kubectl, helm, etc.) in a secure containerized environment to help users manage, diagnose, and optimize Kubernetes clusters.

Nchan MCP Transport is a high-performance WebSocket/SSE transport layer and gateway designed for Anthropic's MCP (Model Context Protocol), supporting real-time and scalable AI integration.

The Storm MCP server is an open protocol that implements the Anthropic Model Context Protocol, supports the integration of LLM and RAG data sources, and provides functions such as context sharing, tool system, file management, and API integration.

FEGIS is a structured cognitive framework based on the Anthropic model context protocol, supporting the definition of cognitive tools through patterns and the persistent storage of cognitive products.

The Spring AI MCP client is a chat application based on Spring AI and Anthropic Claude/OpenAI models, which interacts with the server through the MCP protocol and supports AI-driven dialogue functions.

A model control protocol server that supports parallel queries from multiple LLM providers. It can simultaneously call the APIs of OpenAI, Anthropic, Perplexity, and Google for cross-verification, providing a unified interface and supporting asynchronous processing.

A TypeScript - based MCP server for file system editing tools, ported from the Anthropic computer usage demonstration.

A template server based on the MCP protocol, integrating the API functions of OpenAI, Anthropic, and EnrichB2B.

The Perplexity MCP Server is a Node.js-based server that implements Anthropic's Model Context Protocol (MCP) for connecting Claude and Perplexity's language models, providing enhanced AI interaction tools.

Nano Agent is an experimental small engineering proxy MCP server that supports multi-provider LLM models, used to test and compare the proxy capabilities of cloud and local LLMs in terms of performance, speed, and cost. The project includes a multi-model evaluation system, a nested agent architecture, and a unified tool interface, supporting providers such as OpenAI, Anthropic, and Ollama.

A hackathon project to create a mesh renderer by integrating the Meshy API with Anthropic and the MCP server

MCP Firebird is a service that implements the Anthropic Model Context Protocol (MCP) for the Firebird database, allowing large language models such as Claude to securely access and analyze database content.

Chakra MCP Server is a tool that natively integrates with Anthropic's Model Context Protocol (MCP), allowing users to interact with databases and subscribed data shares through natural language. It supports natural language queries, data share interactions, and database management functions.

The Model Context Protocol (MCP) is an open - source protocol released by Anthropic, aiming to solve the standardization problem of connecting large language models (LLMs) with external data sources and systems. It provides a structured framework that enables models to integrate and utilize external context, thereby expanding their capabilities and improving response accuracy. MCP supports functions such as knowledge expansion, external tool calls, and pre - written prompts.

This project includes the Cloud Security Alliance model context protocol servers, covering various functional modules and service interfaces, including multiple useful tools imported from Anthropic and chat services provided by CSA.

An awesome AdsMCP server project aiming to standardize the advertising API through Anthropic's model context protocol.

This project is a local iMessage RAG service developed for the Anthropic NYC MCP Hackathon. The functions may be unstable. It provides basic setup guides but has no long-term maintenance plan.

This project demonstrates the MCP server function of GenAIScript, supporting communication with AI models, including local models, and following the Anthropic MCP protocol standard.

The SmallCloud MCP Server is a demonstration project based on the Anthropic Model Context Protocol SDK, mainly used in conjunction with MCP hosts such as Claude Desktop. This project provides a demonstration version for Mac OS, includes a simple tool example, and supports integration with Claude Desktop through a configuration file.

The officially implemented MCP server of Anthropic's 'think' tool, which significantly enhances Claude's reasoning capabilities through structured thinking

An MCP server that provides image recognition functions, supporting the visual APIs of Anthropic and OpenAI, with capabilities such as image description, multi - format support, configurable primary - backup service providers, and OCR text extraction.

MCP AI Hub is a server based on the Model Context Protocol, providing access to over 100 AI models (including those from OpenAI, Anthropic, Google, etc.) through the LiteLM unified interface, supporting multiple transmission protocols and flexible configuration.

An MCP server for multi - AI agent consultation that integrates different AI models such as OpenAI, Anthropic, and Google Gemini to provide multi - model perspective support for code analysis and problem - solving.