Enables researching, verifying, comparing, and composing open-source AI projects with transparent evidence and uncertainty boundaries through read-only tools.
An MCP server that integrates AI retrievals with NASA's Common Metadata Repository (CMR), allowing users to search NASA's catalog of Earth science datasets through natural language queries.
A Python implementation of the Model Context Protocol (MCP) server that enables searching and extracting information from arXiv papers, designed to be extensible with additional MCP tools.
An MCP server that builds structured research source packs for a topic, extracting verified facts, quotes, numbers, dates, and primary links with a coverage map of claims across sources.
Enables automatic literature discovery, screening, and ranking across OpenAlex, Semantic Scholar, and arXiv, with tools for exporting to Zotero and generating research ideas.
An MCP server that lets an LLM query a DuckDB warehouse of EuroLeague and EuroCup basketball data in natural language, offering tools for player and team stats, shot charts, boxscores, and fantasy draft analysis without contacting upstream APIs.
MCP server for Yandex Wordstat v2 API enabling keyword research and search trend analysis with in-memory caching, integrated via mcpo proxy with Open WebUI.
Collection of B2B sales intelligence MCP servers. Includes website analysis, tech stack detection, hiring signals, review aggregation, ad tracking, social profiles, financial reporting and more for AI-powered prospecting
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.
Provides AI assistants with structured, authoritative knowledge of the HICAR atmospheric model, including namelist options, physics schemes, output variables, documentation, and source code.
Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.
PyPSA MCP is a Model Context Protocol (MCP) server for creating, analyzing, and optimizing energy system models using PyPSA (Python for Power System Analysis).
Turns the AWS Registry of Open Data and public STAC catalogs into agent-callable tools for dataset search, STAC queries, and NDVI/NDBI/land-cover analysis on Sentinel-2 imagery.