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.

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 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.

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.

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.

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

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 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 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

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

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.

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.

A stealth browser server based on the MCP protocol, providing web browsing and screenshot functions using Playwright and anti - detection technology.

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 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.

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

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.

A Puppeteer-based MCP server that provides anti-detection browser automation capabilities for AI assistants, supporting real clicks, human-computer interaction, and other functions.

An MCP server that provides Google Search and web content viewing functions, with advanced anti - crawler evasion technology

An MCP server that provides Google search and web page content viewing functions, with advanced anti-bot detection evasion features, including search filtering, caching, and browser pool management.

This is an MCP server implementation for Asana that allows interaction with the Asana API through an MCP client (such as Anthropic's Claude desktop app), providing management functions for tasks, projects, workspaces, etc.

The Model Context Protocol (MCP) is a standardized protocol introduced by Anthropic for the interaction between large language models (LLMs) and external tools and functions, as well as for injecting context into LLMs. It enables models to request real-time information, perform operations in external systems, access professional knowledge bases, and interact with APIs and services. The MCP is similar to a USB hub, serving as a standard interface that reduces the risk of API changes because each MCP server is maintained by its own company, and users only need to integrate it. The MCP server provides three functions: tools, resources, and prompts.

Web3 function plugin server based on Anthropic MCP

The Claude-LaTeX MCP integration project connects Claude AI with LaTeX editors through Anthropic's Model Context Protocol (MCP), providing AI - assisted functions for academic writing, science fiction creation, and philosophical writing, including core tools such as formula generation, document structure optimization, and reference management, as well as professional extension modules for different types of content.

An MCP server that provides Google search and web content viewing functions, with advanced anti-bot detection and avoidance capabilities, supporting custom search, caching, and browser instance pool management.

This analysis report summarizes the most interesting MCP (Model Context Protocol) servers discussed on the X platform on March 19, 2025, focusing on their practicality in AI - driven workflows. Through discussions and blog posts on the X platform, the report identifies the most popular and recommended MCP servers, including Reddit, Notion, Google Sheets, Gmail, and Discord, which are favored for their automation capabilities and ease of use. In addition, servers with specific functions such as SendAI Kit and Dolphin - MCP, as well as pre - built servers provided by Anthropic, are also mentioned.

A command-line tool and API for analyzing AWS Bedrock usage logs through Anthropic's MCP protocol, providing functions such as model usage statistics, user analysis, and natural language query.

A browser control MCP server based on Python Playwright and SSE Anthropic, providing a real-time web interaction toolset that supports functions such as JavaScript execution, URL access, and screenshot taking.

A web crawling service based on the MCP protocol, providing web page content extraction functions for AI assistants, supporting bypassing anti - crawler mechanisms and returning formatted text.

The Oyemi MCP Server is a tool that provides semantic dictionary services for AI agents, supporting functions such as converting words to deterministic semantic encodings, sentiment valence analysis, semantic similarity calculation, and synonym and antonym search, without runtime dependencies.

An MCP client application based on Streamlit, supporting connection to multiple LLM providers (such as OpenAI, Anthropic, etc.) and interaction with MCP servers, providing tool testing and chat interface functions.

This project integrates Wordware's intelligent proxy functions with AI assistants like Claude through Anthropic's MCP protocol, enabling functions such as dynamic Wordware tool loading, intelligent parameter processing, and error management.

MCP is an open - source protocol developed by Anthropic, aiming to provide a standardized way for AI models to interact with external data sources and tools. The project implements functions such as weather queries, Google automatic searches, and camera control. It is highly configurable and suitable for scenarios such as intelligent assistants and automated workflows.

A web search MCP service based on pure crawler technology, supports Bing web and news searches, does not require an official API, and includes intelligent anti - detection and URL cleaning functions.

A vocabulary query service based on WordNet, providing functions for querying synonyms, antonyms, hypernyms, hyponyms, and definitions