Genkit is an open-source framework for building AI-driven applications, providing Node.js and Go libraries, supporting the integration of multiple AI models and vector databases, and including development tools and a plugin ecosystem.

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.

PG-MCP is a model context protocol server designed for PostgreSQL databases, providing APIs for AI agents to discover, connect, query, and understand databases. It supports multi - database connection, rich catalog information, and query explanation functions.

Sail is a project aiming to unify stream processing, batch processing, and compute - intensive (AI) workloads. It provides an alternative to Spark SQL and Spark DataFrame APIs and supports both standalone and distributed environments.

Supermemory is an AI-driven memory engine designed to provide contextual knowledge for LLMs by integrating personal data, enabling intelligent management and retrieval of information.

Cognee is an open - source project that provides memory functions for AI agents. It builds a dynamic knowledge graph through a modular ECL pipeline, supports multiple data sources and formats, reduces hallucinations, and lowers costs.

OpenDia is an open - source browser extension tool that allows AI models to directly control the user's browser, perform automated operations using existing login status, bookmarks and other data, support multiple browsers and AI models, and focus on privacy protection.

Coco AI is a unified search platform that integrates enterprise applications and data (such as Google Workspace, Dropbox, GitHub, etc.), providing cross-platform search and AI-driven team chat functions, aiming to improve work efficiency and collaboration experience.

Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.

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.

Redis MCP Server is a natural language interface service designed for Redis, supporting AI agents to query and manage Redis data through natural language, integrating the MCP protocol, and providing multiple data structures and search functions.

The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.

Wren Engine is a semantic engine designed for MCP clients and AI agents, providing semantic layer support to enable AI to accurately understand enterprise data models and business logic. It supports multiple data sources and is embedded in MCP clients to ensure the accuracy and governance of data interaction.

MCP Notes is an intelligent note - taking application based on the MCP protocol, supporting AI - driven note management and web interface operations, and using DynamoDB to store data.

The Apify MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with various Actors on the Apify platform through SSE or Stdio to perform tasks such as data scraping and web search.

A lightweight MCP server that provides real-time weather data query and parsing functions for AI assistants such as Claude. Supports both local and remote deployment methods, including Docker containerization solutions.

The HowToCook - MCP Server is a project that transforms an AI assistant into a personal chef. Based on the HowToCook recipe data, it provides functions such as recipe query and meal recommendation for AI clients through the MCP protocol, solving the problem of 'what to eat today'.

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.

The TeslaMate MCP server is a model context protocol server that connects to the TeslaMate database, providing tools for AI assistants to query Tesla vehicle data and analysis, including functions such as vehicle information, driving statistics, charging data, battery health, and location analysis.

The Odoo MCP Server is a middleware that integrates with the Odoo ERP system, allowing AI assistants to access and operate Odoo data and functions through the Model Context Protocol.

Clippy is a macOS terminal clipboard tool that supports copying file references, GUI pasting, management of recently downloaded files, processing of pipeline data, and AI integration with the MCP server, improving work efficiency.

DB MCP Server is a multi-database server that implements the Model Context Protocol (MCP), providing AI assistants with the ability to access multiple databases in a structured manner.

An MCP server that provides read and write access to the Airtable database, supporting LLMs to view the database schema and manipulate records

Open Data MCP is an open - source project aiming to quickly connect public data sets to LLM applications through the MCP protocol, enabling convenient access to open data and community - based publishing.

Open Data MCP is an open - source project aiming to quickly connect public data sets to LLM applications through the MCP protocol. The project provides a CLI tool to achieve a 2 - minute connection (currently supporting Claude) and establishes a community collaboration framework that allows developers to easily contribute and publish public data sets. The core goal is to build an infrastructure that connects all LLM applications with millions of public data sets.

Postgres MCP Pro is an open - source MCP server that provides comprehensive support for AI agents in database index tuning, execution plan analysis, health checks, and secure SQL execution.

DB MCP Server is a multi-database supported server that implements the Model Context Protocol (MCP) and provides AI assistants with the ability to access databases in a structured manner. It supports MySQL and PostgreSQL, can connect to multiple databases simultaneously, automatically generates dedicated tools, and follows a clear architecture design.

BioMCP is an open - source biomedical AI toolkit that provides professional biomedical knowledge support for AI systems by connecting to authoritative data sources.

The Supabase MCP server is a tool based on the Model Context Protocol (MCP) that provides a standard interface for AI assistants to interact with Supabase databases, supporting database operations such as create, read, update, and delete.

The Kong Konnect MCP server is a Model Context Protocol service for interacting with Kong Konnect APIs, enabling AI assistants to query and analyze Kong gateway configuration, traffic, and statistics data.

The CSV Editor is an AI - driven MCP server that provides powerful CSV data processing capabilities for AI assistants, including data cleaning, transformation, analysis, and validation, and supports auto - save and history tracking.

This project is a toolset for managing and configuring multiple Model Context Protocol (MCP) servers, mainly serving AI assistants such as Claude Desktop. It provides functions such as file system access, SQLite database queries, web automation, and GitHub integration, and includes installation scripts, configuration templates, and security practice guides.

An MCP server for accessing the SQLite database of the Cursor IDE, supporting AI assistants to explore project data, chat histories, and editor information.

The MySQL MCP Service is an API service based on Node.js that provides MySQL database connection and query capabilities for Cursor AI, supporting functions such as SQL execution and table structure query, and following the MCP protocol standard.

The NASA MCP Server is a server that follows the Model Context Protocol specification, providing a standardized interface for AI models to access more than 20 public API data sources of NASA, including astronomical photos, Mars exploration data, Earth observation images, etc. The project provides unified data format conversion, parameter validation, and rate limit management, and supports multi - platform operation.

The Smartsheet MCP Server is a middleware that enables intelligent integration between AI and the Smartsheet platform, providing functions for automated document management, data operations, and medical analysis.

The Revit MCP server is a TypeScript - based bridge service that enables real - time model data interaction between Claude AI and Autodesk Revit

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.

The PostgreSQL MCP Server is a service based on the Model Context Protocol, providing tools for interacting with the PostgreSQL database, including executing SQL queries, creating tables, listing database tables, etc. It supports AI assistants to operate databases through the MCP protocol.

The Pulse CN MCP Server is an MCP protocol server that obtains real-time Chinese Internet popular content. It supports hot search data from 18 platforms such as Weibo and Today's Headlines, providing the latest Chinese trend information for AI models.