The Supabase MCP Server is a tool that connects Supabase projects with AI assistants. It standardizes the interaction between large language models (LLMs) and external services through the Model Context Protocol (MCP), enabling functions such as database management, configuration acquisition, and data querying.

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.

Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

A curated list of Model Context Protocol (MCP) servers, optimized for AI assistants like Claude, providing services such as file access, database connection, and API integration to extend AI capabilities.

Octagon MCP is a market data model context protocol server that integrates the Octagon market intelligence API, providing AI agent services for public market data, private market data, and deep research.

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

LumenX-MCP is an open-source enterprise-level intelligent server for legal expenses, providing queryable intelligent analysis services by unifying multi-source data (such as e-billing platforms, ERP systems, etc.), and supporting AI integration and high-performance data access.

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.

The ROADrecon MCP Server provides Azure AD data security analysis services for AI assistants

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.

Brasil API MCP is a bridge connecting AI assistants with Brazilian public data services through the standardized Model Context Protocol, providing various Brazilian-related data query functions.

The Solscan MCP Server is a middleware that provides Solana blockchain data analysis services for AI agents. It connects to the Solscan Pro API through the standard MCP protocol and supports querying of on - chain data such as tokens, transactions, and DeFi activities.

This project demonstrates an example implementation of the Model Context Protocol (MCP), which is a standardized protocol for enhancing the capabilities of AI assistants and extending their functionality through custom tools and data sources. The project includes multiple MCP server examples, such as task managers, file explorers, and weather services, and provides guidelines on how to set up and use these servers.

Overview: The MCP server acts as middleware, enabling AI agents to automate tasks by connecting to local data and remote services. It supports functions such as query execution and prompting to efficiently handle context. This represents a step towards fully automated AI systems capable of performing complex operations.

The Alibaba Cloud Supabase MCP Server project connects Supabase projects with AI assistants through the Model Context Protocol standard, providing tools such as project management and database querying, and supporting the deployment and operation of Supabase services on the Alibaba Cloud platform.

A server that provides Model Context Protocol (MCP) services for LeetCode, supporting AI assistants to access LeetCode problems, user information, and contest data.

Infobip MCP servers allow AI agents to interact with the Infobip platform via the Model Context Protocol, support sending messages via multiple channels such as SMS, WhatsApp, and Viber, manage customer data and user accounts, and provide production-level communication services

The GeoServer MCP Server is a server - side implementation of the Model Context Protocol (MCP) that connects large language models (LLMs) with the GeoServer REST API, enabling AI assistants to interact with geospatial data and services.

This project implements a personal context management server based on the MCP protocol, which is used to store and update users' personalized data, enabling AI assistants to maintain memory across sessions and provide personalized services.

The Korean stock analysis MCP server provides AI analysis services for stock price information, financial data, and company announcements through the official APIs of DART and KRX.

The IOTA MCP Server is a comprehensive Model Context Protocol (MCP) server that provides blockchain services for IOTA and multiple EVM-compatible networks, with a particular focus on the integration of the IOTA ecosystem and AI systems. It supports more than 30 blockchain networks, providing a unified interface for AI agents to access blockchain data, interact with smart contracts, transfer tokens, etc., and includes features unique to IOTA such as staking and network status monitoring.

Aiven's MCP server provides AI models with the ability to access data services in the Aiven ecosystem

The TomTom MCP Server is a tool that simplifies geospatial development, providing seamless access to TomTom's location services, including search, route planning, traffic, and static map data, making it easy to integrate accurate location data into AI workflows and development environments.

The MySQL Query MCP Server is a tool that provides read-only MySQL database query services for AI assistants. It supports multiple environment configurations and secure connections, helping developers explore and analyze database data through AI tools.

A curated list of hosted cloud MCP servers that provide Model Context Protocol (MCP) services accessible via simple URL endpoints to help AI applications quickly integrate external tools and data.

Octagon VC Agents is an MCP server that runs AI-driven venture capitalist agents, simulating the investment thinking of well-known VCs (such as Fred Wilson, Peter Thiel, etc.). It combines real-time transaction data and in-depth research intelligence from Octagon Private Markets to provide services such as financing feedback, due diligence simulation, and term negotiation.

Octagon VC Agents is an MCP server that runs AI-driven venture capital agents, simulating the investment thinking of well-known venture capitalists (such as Fred Wilson, Peter Thiel, etc.). It combines real-time transactions, valuations, and in-depth research data from Octagon Private Markets to provide programmable 'venture capital brain' services such as financing feedback, due diligence simulation, and term negotiation.

The Linode MCP Server is a protocol server that connects an AI assistant to the Linode cloud infrastructure, supporting the management of cloud resources, including multiple services such as instances, databases, and networks, through natural language conversations.

This project showcases an MCP service architecture based on Node.js, including backend API services, an MCP server, and a client-side AI chatbot. The MCP server standardizes the API access method, and the client implements the custom data storage function by integrating MCP capabilities.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that cover a variety of tools and integrations, including browser automation, art and culture, cloud platforms, command - line, communication, customer data platforms, databases, developer tools, file systems, fintech, knowledge and memory, location services, monitoring, search, security, travel and transportation, version control, etc. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers.

AgentMode is a full - featured Model Context Protocol (MCP) server that provides an integrated data integration solution for AI development by connecting to multiple databases, data warehouses, cloud services, etc.

Provide an MCP server implementation for Zoom, enabling AI models to access Zoom data and services through the API.

A server-side project that implements the Model Context Protocol (MCP), supporting AI assistants to interact with external services and data sources, and providing functions for task creation, running, and debugging

This document categorizes and organizes various Model Context Protocol (MCP) servers to help developers integrate AI models with resources such as databases, file systems, APIs, cloud services, and automation tools.

The Model Context Protocol (MCP) is an open-source protocol designed to enable Large Language Models (LLMs) to seamlessly interact with external tools, services, and data sources through a standardized interface, simplifying the integration process and expanding AI capabilities.

This project is a collection of reference implementations of the Model Context Protocol (MCP), including MCP server implementations for various tools and services, aiming to provide secure and controllable access to tools and data sources for large language models (LLMs).

A Django application that implements a Firebase Model Context Protocol (MCP) server, enabling AI agents to interact with Firebase services through a standardized protocol and providing 14 tools such as authentication, database, and storage.

MCP is an AI chat system based on a client - server architecture that can connect multiple dedicated servers (file system, Slack, Brave search), intelligently analyze user queries, and automatically select appropriate data sources to provide services.

An MCP server that provides query services for the Library of Congress Subject Headings (LCSH), enabling AI assistants to access standard classification data through a simple API interface.