"Understanding Unrestricted Model Abilities" matching MCP servers:

Enables querying AI model lifecycle and deprecation data across OpenAI, Anthropic, Google Gemini, and Amazon Bedrock, including model status, sunset dates, and recommended replacements via MCP tools.

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

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 bridge between large language models and Dutch parliamentary data, providing access to Dutch parliamentary documents, debates, and member information from the Tweede Kamer.

Access to many public datasets right from your LLM application.

Enables reading and understanding NetCDF files, providing tools to inspect structure, variables, metadata, and data quality for scientific datasets.

Enables AI agents to access comprehensive Pokémon data through PokeAPI, including detailed Pokémon information, type effectiveness charts, encounter locations, and search capabilities. Provides a complete toolkit for retrieving stats, abilities, sprites, battle mechanics, and wild encounter data for all Pokémon.

Enables querying Pokémon data from PokéAPI, including stats, types, abilities, evolution chains, and type matchups, via natural language or direct tool calls.

Exposes materials-science data, simulations, workflows, and computing capabilities to MCP hosts through a plugin-agnostic, contract-governed engine with progressive capability discovery, bounded context, scoped permissions, and provenance-traceable artifacts. Concrete integrations such as a real OPTIMADE provider plugin stay separately packaged, so servers remain focused and evidence-backed rather than unrestricted.

Look up Pokémon, moves, abilities, items, natures, and type matchups from PokéAPI v2 via MCP. Supports STDIO or Streamable HTTP.

Queries South Korean building register data (e.g., floor area, parking, seismic design) via a single unified tool, converting API responses to Korean field names for easy AI understanding.

Enables AI agents to retrieve current weather conditions and 3-day forecasts for cities through standardized MCP tools over stdio.

A Model Context Protocol server that connects AI assistants to UNESCO Institute for Statistics data, enabling natural language search, retrieval, and comparison of indicators across countries.

A Model Context Protocol (MCP) server for searching STAC catalogs, downloading satellite bands, and creating composites via 21 tools.

Searches and fetches research datasets across Zenodo, DataCite (Dryad/Figshare/Dataverse/OSF), NCBI omics archives (GEO/SRA/BioProject), and the literature (PubMed/OpenAIRE) through one normalized model — deduplicating by DOI, expanding organism queries with NCBI Taxonomy synonyms, and bridging papers to the datasets they produced. Resolves citations and open-access full text, and downloads files.

Pulls enterprise counts by NACE Rev.2 activity and size class from Eurostat and buckets them into SME and 250+ categories for the DTM TAM model, with tools to fill TAM spreadsheets directly.

Gives AI agents live, verified LLM API prices from apipriceindex.com, enabling cost estimation, model search, and price lookups with verification metadata.

A Model Context Protocol server for space weather and geomagnetic conditions, enabling AI agents to answer queries about solar flares, solar wind, geomagnetic storms, aurora forecasts, and more from authoritative data.

Enables AI assistants to search, download, and access arXiv papers with local storage and date filtering via the Model Context Protocol.

A Model Context Protocol server that exposes the Dominican Republic's open government data (datos.gob.do) as tools consumable by any AI assistant.