MCP Toolbox for Databases is an open-source database MCP server focusing on enterprise-level and production quality, simplifying tool development and providing complex functions such as connection pool and authentication.

The Awesome MCP Registry is a high - quality, structured list of MCP servers, containing over 63 MCP servers covering multiple domains such as browser automation, cloud platforms, databases, and developer tools. The project generates README.md, npm packages, and packages - list.json through JSON configuration files, and can be used as a database for MCP servers and packages to build your own MCP projects and hosting sites.

The AQICN MCP Server is a service that provides global air quality data, supporting real-time air quality information queries by city name or geographical coordinates.

MCP_Agent:RE is a Python project used to retrieve requirement and defect data from the TAPD platform and generate quality analysis reports. It provides a complete toolchain including data retrieval, preprocessing, vectorization, intelligent search, and report generation, and supports AI - driven test management.

An MCP server that provides access to the Protein Data Bank (PDB), supporting functions such as structure search, information retrieval, file download, and quality assessment.

This project provides a toolset based on the FastMCP framework for obtaining project quality metric data from SonarQube, simplifying the interaction process with the SonarQube API.

USGS Water Quality Data MCP server, an API toolset for the USGS water resources that provides queries for real-time water levels, flows, flood impacts, and monitoring site metadata.

Deep Research MCP is a server project based on the Model Context Protocol (MCP), aiming to conduct comprehensive network research through Tavily's search and crawl APIs and integrate the data into structured Markdown documents to support high - quality content generation for large - language models (LLMs).

An MCP service that obtains current and past 24 - hour data from air quality monitoring stations in various locations across Taiwan

An MCP server based on Gemini and Vertex AI for private document search, improving search quality through data storage.

The PDB MCP server is a model context protocol service that provides access to the Protein Data Bank (PDB), supporting functions such as structure search, information retrieval, file download, and quality assessment.

An MCP service for obtaining current and past 24 - hour data of air quality monitoring stations across Taiwan

Unofficial AirNow MCP server, which integrates LLMs with the AirNow air quality API through the Model Context Protocol, providing functions for querying real - time, forecast, and historical air quality data.

A cryptographically secure random number generation server based on the Model Context Protocol (MCP), providing functions for generating various random data types, suitable for AI applications and systems requiring high - quality random numbers.

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.

An MCP service for obtaining current and past 24 - hour data from air quality monitoring stations in various locations in Taiwan