A Node.js tool based on Playwright that can bypass search engine anti - scraping mechanisms to perform Google searches and extract results. It can be used as a command - line tool or an MCP server to provide real - time search capabilities for AI assistants.

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.

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.

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

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 MCP server integrated with Dify AI API, providing the ability to generate Ant Design component code

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

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

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.

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.

The MCP service for Ant Design components provides support for component documentation query and code generation for large language models

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

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.

An MCP server tool that helps AI assistants bypass website anti-scraping mechanisms to obtain text content

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

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.

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.

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.

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 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.

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.

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.

An MCP server designed for AI development and QA, providing AntV documentation context and code examples of the latest APIs, supporting visualization libraries such as G2, G6, and F2.

An MCP server based on Ruby, using Ferrum and Headless Chrome for browser automation, providing 29 tools to support functions such as navigation, interaction, and content extraction, and having a built-in anti-detection stealth mode.

The Oxylabs MCP Server provides web data crawling services for AI assistants, supporting dynamic rendering, structured extraction, and anti - blocking functions.

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.

This is an MCP server for accessing Federal Universe Enhancement Proposal (FEP) documents. By cloning the FEP code repository and exposing tools and resources, it enables AI assistants to read and search FEP documents, solving the access restriction problem caused by Codeberg's anti - AI protection.

An MCP server integrating Dify AI API, focusing on Ant Design component code generation

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.

An MCP server that provides documentation query services for Ant Design components, allowing large language models to explore and understand the Ant Design component library through dedicated tools.

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 browser automation MCP server based on the Anchor Browser cloud service, providing remote browser control, proxy rotation, and anti - detection functions, and supporting Playwright operations

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

The MCP server provides web content scraping functionality, supporting browser automation, OCR, and multi - method content extraction to help LLMs acquire and process web content that requires JavaScript rendering or anti - crawling protection.

A Model Context Protocol server for analyzing statements, validating sources, and detecting manipulation, using multiple cognitive frameworks for anti-misinformation processing.

Academia MCP is an MCP server designed for academic research. It provides tools for searching, retrieving, analyzing, and reporting scientific papers and datasets. It supports platforms such as ArXiv, ACL Anthology, and Hugging Face, and includes functions like web page crawling, LaTeX compilation, PDF reading, and LLM enhancement.

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