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.

A collection of official Microsoft MCP servers, providing AI assistant integration tools for various services such as Azure, GitHub, Microsoft 365, and Fabric. It supports local and remote deployment, helping developers connect AI models with various data sources and tools through a standardized protocol.

MCP Go is a server-side framework for the Model Context Protocol (MCP) implemented in Go, used to connect LLM applications with external data sources and tools. It provides core functions such as resource management, tool invocation, and prompt templates, and supports session management and middleware extension.

Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.

The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.

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.

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.

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.

An MCP service that allows you to operate on Excel files without installing Excel, supporting functions such as creating workbooks, reading and writing data, formatting, and chart generation.

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.

An MCP server for querying Apple Health data via SQL, implemented based on DuckDB for efficient analysis, supporting natural language queries and automatic report generation.

An MCP server for managing Docker through natural language, supporting container orchestration, debugging, and data management.

A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.

MCP Alchemy is a tool that connects Claude Desktop to multiple databases, supporting SQL queries, database structure analysis, and data report generation.

The MCP MongoDB Server is a model context protocol service that allows LLMs to interact with MongoDB databases, providing functions such as collection schema checking, query execution, and intelligent ID handling, and supporting read - only mode and security configuration.

MaverickMCP is a personal stock analysis server based on FastMCP 2.0, providing professional level financial data analysis, technical indicator calculation, and investment portfolio optimization tools for MCP clients such as Claude Desktop. It comes pre-set with 520 S&P 500 stock data, supports multiple technical analysis strategies and parallel processing, and can run locally without complex authentication.

Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.

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.

DBHub is a general database gateway that implements the Model Context Protocol (MCP) and supports connections to and operations on multiple databases.

FinLab AI is a quantitative financial analysis platform that helps users discover excess returns (alpha) in investment strategies through AI technology. It provides a rich dataset, backtesting framework, and strategy examples, supporting automated installation and integration into mainstream AI programming assistants.

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 HOPX MCP server is a service based on the model context protocol that allows AI assistants to execute Python, JavaScript, Bash, and Go code in isolated cloud containers, supporting data analysis and file operations.

This is a server that implements the MCP code execution mode. Through a single-tool bridge and zero-context discovery mechanism, it reduces the overhead of MCP tool calls from tens of thousands of tokens to about 200 tokens and securely executes Python code in the root container, supporting data science and secure isolation.

An MCP server that provides financial market data, supporting queries of financial data and price information of stocks and cryptocurrencies

The Graphlit MCP Server is an integration tool that connects MCP clients with Graphlit services, supporting the ingestion, processing, and retrieval of multiple data sources.

flyto-core is a debuggable automation engine that provides complete execution tracking, arbitrary step replay, and status snapshot functions. It supports 412 modules covering 78 categories such as browser automation, data processing, and API integration, and can be used through multiple methods such as CLI, MCP server, and HTTP API.

XiYan MCP Server is a Model Context Protocol server based on XiYan - SQL, which supports querying databases through natural language, provides multiple LLM model configurations and database connection methods, and is suitable for local or remote deployment.

Chroma is an open-source vector database that provides memory support for Python and JavaScript LLM applications, supporting multiple client types and document operations.

The Excel MCP Server is a model protocol service that supports reading and writing Excel data

MCPBench is a framework for evaluating the performance of MCP servers. It supports the evaluation of two types of tasks: web search and database query, is compatible with local and remote servers, and mainly evaluates accuracy, latency, and token consumption.

MCP - PostgreSQL - Ops is a professional MCP server for PostgreSQL database operations and monitoring. It supports PostgreSQL versions 12 - 17 and provides comprehensive database analysis, performance monitoring, and intelligent maintenance suggestions. Database management is achieved through natural language queries.

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.

The Quarkus Model Context Protocol (MCP) Server is an open-source protocol server that supports easy integration of LLM applications with external data sources and tools through declarative and programmatic APIs.

A document semantic search service based on the Qdrant vector database, supporting URL and local file imports and providing natural language query functions.

The Alpaca MCP server is a model context protocol (MCP) service that implements the Alpaca trading API, allowing large language models to interact with the Alpaca trading system through natural language, supporting stock/options trading, portfolio management, and real-time market data acquisition.

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

The MCP server of the Bilibili API, supporting various operations on Bilibili data