A Node.js - based Airtable MCP server that provides functions for programmatically managing Airtable bases, tables, fields, and records, and supports operations through MCP clients such as Claude Desktop.

The Hive Intelligence MCP server provides comprehensive cryptocurrency and Web3 analysis services for AI assistants. It integrates over 200 professional tools through a unified interface, covering multiple fields such as market data, on-chain analysis, portfolio tracking, and security analysis.

This project is a list of MCP servers, covering multiple fields such as browser automation, tool integration, system automation, AI services, search, commands, workflow automation, social media, communication, customer data platforms, databases, knowledge storage, development tools, file systems, cloud storage, finance, location services, monitoring, research data, security, travel, data visualization, notes, marketing, identity, etc.

Bocha is a search engine designed specifically for AI, providing high-quality search services for nearly tens of billions of web pages and ecological content across the network, supporting structured data in multiple vertical fields such as weather, news, and encyclopedias, and suitable for various AI applications.

DeRisk is an AI-native risk intelligent management system that provides comprehensive and in-depth application system risk protection 24/7. It is based on a modular framework developed through open-source community collaboration and focuses on the ability derivation in the risk and data fields.

A Claude multi - instance collaborative reasoning server based on the quantum field computing model, achieving enhanced AI reasoning capabilities through field consistency optimization.

A paper retrieval and content parsing tool based on arXiv, supporting intelligent search, PDF acquisition, and content parsing functions, with a special focus on the latest papers in the AI field.

This project is a comprehensive collection of Model Context Protocol (MCP) servers, aiming to enhance the capabilities of AI models through standardized integration, covering multiple fields such as databases, network automation, and development tools.

awesome - mcp is a project that collects and shares MCP (Model Context Protocol) servers, covering various MCP server implementations contributed by the official and the community, including multiple fields such as AI, databases, browser automation, code management, image generation, search, and storage.

The OLS MCP Server is a tool that provides ontology query services for large - language models. By connecting to the EBI Ontology Query Service API, it helps AI assistants accurately obtain ontology terms, concepts, and hierarchical structures in the biomedical field.

This is a curated list of Awesome Model Context Protocol (MCP) Servers, which contains detailed classifications and descriptions of various MCP servers, frameworks, tools, and resources. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers. The list covers MCP server implementations in multiple fields, including browser automation, cloud platforms, databases, developer tools, fintech, gaming, and security.

This is a list containing a large number of open - source AI projects, covering multiple fields from natural language processing, image generation to automated workflows. These projects aim to help developers build various applications using AI technology, including chatbots, code - generation tools, data - processing systems, etc.

This project uses the MCP protocol and AI technology to build automated network security tools, covering multiple fields such as red - team attack simulation, SOC analysis, malware development, and threat hunting, to achieve the intelligence and automation of security tasks.

The openEuler MCP Servers repository is a repository for storing various MCP Servers, aiming to call various applications through the general large model context protocol (MCP) to expand the capabilities of large models, especially in the operating system field.

Octagon Deep Research MCP is a server that provides AI - driven in - depth research and analysis capabilities. By integrating advanced in - depth research agents, it offers users research functions without rate limits, fast and comprehensive. It is compatible with multiple MCP clients, including Claude Desktop, Cursor, etc., and is suitable for research needs in multiple fields such as technology, medicine, environment, and business.

The medRxiv MCP Server is a bridge tool connecting AI assistants and the medRxiv preprint library, enabling functions such as searching for preprints, retrieving metadata, and accessing content in the field of health science through the Model Context Protocol (MCP). It supports local storage and paper analysis prompts.

A JSON document storage service based on the Fireproof database, supporting CRUD operations and field sorting queries, used for the integration of the Model Context Protocol server and AI systems.

A collection of 46 professional AI sub - agents to expand the functionality of Claude Code, covering multiple fields such as development, architecture, language, infrastructure, quality and safety, data AI, etc., and achieving task optimization through specific model allocation.

Top Rank Agent is a collection of MCP (Model Context Protocol) resources specially designed for Chinese users, providing basic introductions, usage guides, client and server resources, and community resources to help users quickly get started with this 'universal plug' in the AI field.

This is a list of multiple open - source AI projects, covering multiple fields such as automated agents, large - language models, image generation, and AI development frameworks. These projects aim to help developers make money using AI technology, including building intelligent assistants, automating workflows, and content generation applications.

MCP is an open protocol for standardizing the context of AI applications, similar to the USB - C interface in the AI field, enabling seamless connection between LLMs and various data sources/tools. It provides preset integrations, multi - model switching, secure data processing, and a standardized interface, supporting the construction of LLM - based intelligent agents and complex workflows.

The Rootdata MCP Server is a server based on the Model Context Protocol, which provides the function of querying the newly added hot projects in the blockchain and Web3 fields daily, helping AI assistants obtain the latest industry dynamics.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that cover MCP server implementations in various fields, including databases, browser automation, cloud platforms, developer tools, fintech, security, etc. These servers enable AI models to securely interact with local and remote resources through a standardized protocol.

The mcp-server-suite is an open-source collection of MCP servers, aiming to become the 'HuggingFace' in the field of automation. It provides modular server components, supporting various functions from web searches to database operations, and encourages community contributions for expansion. The project includes core servers and various planned professional services, covering AI/ML, software development, and non-technical scenarios. The goal is to simplify the automation process through a standardized protocol.

MCP - Codex is a tool orchestration service based on the Model Context Protocol (MCP). It realizes the dynamic discovery and invocation of tools for AI assistants through the intelligent agent 'The Librarian', solving the problem that traditional MCP requires restarting to add new tools. Although the project has stopped development, its architectural design still has reference value in the field of AI tool orchestration.

This project demonstrates a JSON document collection server based on the Fireproof database and the Model Context Protocol, supporting multi-database creation, CRUD operations, field sorting queries, and synchronization with the Fireproof cloud service. It is suitable for data integration in AI systems such as Claude Desktop.

This project provides an interface for AI assistants to access Haskell documentation. By retrieving authoritative documentation on Hackage in real - time, it solves the problem of insufficient training data for AI in the Haskell field and improves the accuracy of code generation and explanation.