"A server for generating better prompts for medical AI agents" matching MCP servers:

MCP server that silently monitors state changes in structured data sources (e.g., government open data) and provides a pull-based channel for AI agents to retrieve real mutations since their last cursor.

Enables AI clients to query authoritative medical APIs for drug information, health statistics, clinical guidelines, trials, and literature from sources such as FDA, WHO, PubMed, RxNorm, and Google Scholar, running locally without API keys.

Enables AI tools to locally query authoritative medical sources like FDA, WHO, PubMed, RxNorm, and related APIs for drug information, health statistics, clinical guidelines, trials, and medical literature without API keys.

A Model Context Protocol server that provides semantic search and intelligent access to a comprehensive list of free services and tools for developers.

Enables querying and comparing operational numerical weather models, including global and regional, deterministic and ensemble, physics-based and AI forecasts, with a unified API.

Enables AI agents to discover official public data sources, inspect their metadata and endpoint parameters, and execute live queries through a unified response envelope with a 500 ms budget.

A Python FastMCP server that re-exposes Kindora's public funder and grant tools for ChatGPT, enabling grant discovery from IRS 990 filings and Grants.gov.

Enables discovery of official DHS country, survey, and indicator metadata; retrieval of public aggregate estimates; assessment of comparison risks; and export of auditable CSV, JSON, Excel, or executable notebook bundles.

Enables AI assistants to search and retrieve peer-reviewed academic articles exclusively from Springer Nature's open access collection. It provides a specialized mode for research-driven conversations, allowing users to toggle scholarly-only search and fetch full article content.

MCP server for analyzing Canadian federal spending data, offering tools for contract search, NLP, semantic search, anomaly detection, and money-flow tracing.

Enables Alexa+ to answer conversational weather queries by retrieving current conditions, forecasts, alerts, and historical data from Open-Meteo, NWS, and simulated IoT sensors stored in SQLite.

Exposes Denmark's Statistical Bureau API as programmable resources, making it easy to integrate with language models and modern AI applications to enable natural language queries for statistical data.

Enables natural language access to Denmark's Statistics API (Danmarks Statistik), allowing users to query and analyze Danish statistical data without coding knowledge through AI-powered interactions.

Remote MCP server (Streamable HTTP, no auth) exposing 6 MCP tools over the open AYA business registry: search 367,000+ verified companies by name, domain, sector or country, read a full record with its AIO AI-readability score and signed ASR, index a new business, and quote or claim cashback when an agent routes a purchase. Built with mcp-handler and the official MCP TypeScript SDK.

Enables AI agents to recall evidence-backed public reviews of tools, products, APIs, and services before recommending them, and to submit new reviews after use via a human-approved proposal flow. Also supports searching items, fetching items and their reviews, and offloading proposals through a shared, account-free review database.

Provides a tool to fetch npm package information via MCP. Enables AI agents to retrieve structured package details using the getNpmPackageInfo tool.

Provides a tool to fetch npm package information via the Model Context Protocol.

Enables querying current weather conditions and 1–7 day forecasts by place name through natural language, using Open-Meteo without requiring an API key.

Enables users to retrieve live pricing data for AI models across vendors, including input and output prices per 1k tokens, via a simple API.

Enables ChatGPT to retrieve live Pokémon data from PokéAPI, build tournament squads, and list popular tournament picks through MCP tools.

Provides access to the USGS Quakes API within Claude Desktop, enabling users to retrieve earthquake data and details through natural language queries.

Answers questions about public tech companies’ AI-infrastructure spending using real SEC EDGAR filings, returning traceable values with sources and derivations. It also detects filing inconsistencies and can draft or file data-quality GitHub issues with supporting evidence.

MCP server for structured Australian macroeconomic and financial data from the Australian Bureau of Statistics (ABS), the Reserve Bank of Australia (RBA), and the Australian Prudential Regulation Authority (APRA).

ai-api-pricing-data MCP server

MCP standards server that grounds K-12 lesson plans by providing tools to look up standards, progressions, curriculum, misconceptions, and learning components from open educational data.

Read-only access to the AI Visibility Index: the measured share of answer that 20 SaaS and 24 crypto brands hold across ChatGPT, Perplexity and Gemini, re-measured weekly on a frozen prompt panel with every past release kept at a permanent URL. Five tools — full index, one brand, brand list, complete history, methodology — served from dabyte.ai and dablock.ai with no API key and no auth; the data

MCP server for querying the Central Bank of Brazil's 'Valores a Receber' (amounts to receive) service, providing read-only access to official data through natural language with a hosted server and prepaid credits.

Enables AI assistants to look up, filter, and shortlist 221 curated AI tools by industry, department, pricing tier, or free-tier availability over remote Streamable HTTP without authentication.

Provides free Chinese A-share stock data including real-time quotes, historical K-lines, market scanning, and multi-factor stock screening via BaoStock and Sina Finance APIs.

Enables AI agents to look up facts about notable machine-learning models — organization, release date, parameter count, training-compute (FLOP) estimate, hardware and accessibility — by name, and to search or aggregate them by organization, domain, year, or compute threshold. Supports filtering the dataset newest-first and producing per-year training-compute trends, keylessly and without authentication.