"A server for bio-medical data or research using MCP" matching MCP servers:

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 read-only FastMCP server for academic research that lets agents search papers, inspect metadata, follow citation graphs, generate BibTeX, and read full texts of open-access PDFs via semantic scholar, OpenAlex, arXiv, DBLP, and Crossref.

Enables in-chat scientific viewers for molecular structures, sequence alignments, and slide images, plus data tools for searching structures, fetching sequences, aligning them, and drafting NGS analysis plans.

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.

The only MCP server providing structured Chinese fashion supply chain intelligence for AI platforms. No equivalent data source exists in the MCP ecosystem. Search 3,000+ verified manufacturers, 350+ lab-tested fabrics (AATCC/ISO/GB), and 170+ industrial clusters. Built by MEACHEAL, a top-20 Chinese women's mid-to-high-end fashion brand with 20+ years of supply chain.

Enables producing verifiable FORRT nanopublication chains with grounded quote verification and compact Science Live constellation projections, supporting reproduction, replication, and new research workflows.

Enables local read-only access to TheRundown Product API data including sports, affiliates, market definitions, events, futures, and open main lines using your own API key.

Enables Claude to retrieve read-only public market data, including SEC EDGAR filings, FRED macro series, and end-of-day prices, with source and retrieval dates.

Enables natural-language research queries across marine data sources including FAO FishStat, BarentsWatch Fish Health, and Copernicus Marine, with data provenance and local file exports.

Enables answering questions about Ukrainian open data from the data.gov.ua CKAN portal by searching datasets, inspecting resource schemas, and running read-only SQL aggregates over a single tabular resource. Every data-backed answer is computed from retrieved data and returned with machine-readable provenance, and unsupported or unanswerable requests are refused rather than guessed.

Enables anonymous read-only queries of dated, evidence-qualified citizenship-by-investment research across eleven programmes, exposing eight tools for listing, retrieving, comparing, costing, travel rules, sources, change history and coverage. Runs as a hosted Streamable HTTP endpoint or a local stdio adapter with no accounts, keys or storage.

Enables searching and querying Winnipeg Open Data datasets through natural language or SoQL, with tools for datasets, metadata, and row-level data.

Enables natural language search and discovery of open-access scientific datasets through the EOSC Data Commons OpenSearch service. Provides tools to search datasets and retrieve file metadata using LLM-assisted queries.

Searches open-access research papers by keyword and retrieves detailed metadata by CORE ID, including titles, authors, abstracts, DOIs, and download links.

Enables searching and querying Île-de-France open data datasets (transport, environment, economy, etc.) via natural language or direct tool calls.

Enables AI agents to search, query, and explore datasets from the Centre-Val de Loire Open Data portal, covering regional services, transport, education, and environment.

Enables querying a single academic paper by DOI, PMID, or arXiv ID to retrieve its open-access copies, licenses, linked datasets, code, citations, and retraction status from multiple scholarly sources in one call.

Provides access to Detroit open data via ArcGIS REST API, enabling querying and analysis of municipal datasets through natural language or direct tool calls.

Enables searching, querying, and retrieving metadata for datasets from New Caledonia Open Data (data.gouv.nc) using ODSQL.

Enables searching and querying Orlando Open Data datasets via Socrata SoQL, providing access to metadata and data rows through natural language or direct tool calls.

Enables querying and searching Connecticut Open Data via Socrata SoQL API, allowing AI agents to access state agency, public health, education, and transportation datasets using natural language or structured queries.

Enables searching, querying, and retrieving metadata from Vermont Open Data (data.vermont.gov) datasets using Socrata SoQL, all via natural language.

Enables AI agents to search and query the Michigan Open Data catalog, running Socrata SoQL queries against datasets by resource ID, and retrieving dataset metadata.

Enables AI agents to search and query Nantes Métropole open data datasets (mobility, urban services, environment, geography) using natural language and SQL-like filters.

Enables AI assistants to search and read an open quant research record: papers, topics, killed candidates, trial counts, live paper-trading sleeves, and a tamper-evident chain head. It provides six read-only tools over public CDN files, returning each source's stated limits alongside paper-execution-only caveats.

Enables searching, exploring, and querying Angers Loire Métropole open data datasets (mobility, urban services, environment) using natural language or direct tool calls.

Enables querying Brussels Open Data datasets through natural language or direct tool calls, including search, metadata retrieval, and SQL-like queries.

MCP server for querying Santa Clara County open data via Socrata APIs, enabling dataset search, SoQL queries, and metadata retrieval.

Enables searching, querying, and retrieving metadata from Sonoma County Open Data datasets via Socrata SoQL or natural language.