Enables searching the NIAID Data Ecosystem for biomedical research resources including datasets, clinical studies, and publications using Elasticsearch queries.
Exposes four CMS public datasets as callable tools in Claude conversations, enabling natural-language real-world evidence analytics without SQL expertise.
The server integrates with the free IMF data API and provides various features to facilitate data retrieval and analysis. The server is built using the FastMCP framework and offers the following functionalities:
A Model Context Protocol server for querying and analyzing double-color ball (双色球) lottery historical data from 2013 to present, offering tools for data retrieval, statistical analysis, and reference number generation.
Provides Claude with access to NYC public property data including property details, sales history, comparable sales, tax benefits, and rent stabilization analysis using natural language.
Provides comprehensive data analysis utilities including statistical functions, probability distributions, and data processing tools through natural language.
An MCP server that wraps the eClinicalWorks / healow FHIR R4 API so an MCP client (e.g. Claude Desktop) can read patient clinical data from one or more practices.
This project is a Google Analytics 4 (GA4) automation server implemented as a Model Context Protocol (MCP) tool. It lets AI agents query GA4 data (reports, traffic sources, demographics, etc.) and also includes a simple connection test script.
A Model Context Protocol (MCP) server that provides access to Crunchbase data for AI assistants. This server allows AI assistants to search for companies, get company details, funding information, acquisitions, and people data from Crunchbase.
A comprehensive Model Context Protocol server providing access to over 110 million chemical compounds with extensive molecular properties, bioassay data, and chemical informatics tools from the PubChem database.
Enables access to comprehensive LinkedIn data, including professional profile details, company information, and social engagement metrics. It supports searching for people, retrieving posts and comments, and fetching detailed experience, skills, and recommendations.
Provides a semantic concept layer over financial/economic data from multiple sources, enabling users to query data by concept and entity with automatic source selection and failover.