"Understanding File Systems" matching MCP servers:

Read-only MCP server for the July 2026 survey of AI in open-source design systems, enabling agents to query 19 systems' affordances, coercion techniques, and platform data via 9 tools, 2 resources, and 2 prompts.

DeepPVMapper is an open source, crowdsourced verified AI map of rooftop solar systems. The MCP serves as a endpoint to allow queries to the database (1.1M+ systems) in natural language. This work is based on my former PhD work.

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

An MCP server that provides knowledge about Coordinate Reference Systems (CRS).

Enables AI agents to interact with Windows operating systems through native UI automation, file navigation, application control, and system commands. Provides seamless integration between LLMs and Windows environments for tasks like clicking, typing, launching apps, and capturing desktop state.

Access EPA environmental data — facility compliance (ECHO), toxic releases (TRI), Superfund sites, drinking water systems, environmental justice screening (EJScreen), and real-time air quality (AirNow) via MCP.

Enables querying real-time DTCC swap transaction data and dissemination file indexes for CFTC, SEC, and Canadian regulators.

Enables querying the BOLD Systems global DNA barcode database for specimen records, taxonomy, barcode sequences, and BIN clusters, with keyless access and FASTA-ready output.

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.

A Model Context Protocol (MCP) server that provides programmatic access to Catalysis Hub's GraphQL API, enabling querying of catalytic reactions, material systems, publications, and surface reaction data.

Provides access to 250,000+ Canadian government datasets and specialized querying of transportation infrastructure including bridges, airports, cycling networks, transit systems, railways, and tunnels across multiple provinces.

Gateway connector between LLM agents and world data, providing access to financial market prices, macroeconomic indicators, and news through a bundled endpoint catalog.

An MCP server that resolves paper requests (DOI, arXiv, etc.), checks a local store, fetches open-access PDFs, and returns request IDs. It integrates with acatome-extract for ingestion and provides tools for submission, status, update, and file upload.

Enables querying open job postings directly from company applicant-tracking systems (Greenhouse, Ashby, Lever), finding a company's job board, listing and comparing roles, and accessing salary data, all without scraping or API keys.

Provides plain-English access to official Dallas-area public data, including weather alerts, school ratings, 311 requests, building permits, police incidents, and property parcel lookup.

Enables querying Portuguese competition data from AdC (Autoridade da Concorrência), including enforcement decisions and merger control decisions, directly from MCP-compatible clients.

Enables any MCP client to ask what a medical procedure costs at three Chicago hospitals and get back rows cited to each hospital's own published price file and provider registry data. Tools stay read-only and typed, returning provenance such as source file, SHA-256, effective date, and release tag with every result.

An MCP server that gives AI agents access to US business entity data, enabling searches across 9 state registries, SEC EDGAR filings, federal contracts, and lobbying disclosures.

Enables natural-language search and retrieval of datasets and files from the Peking University Open Research Data Platform, returning metadata, DOIs, and file listings without an API key.

A Model Context Protocol (MCP) server that gives AI assistants direct access to the World Health Organization's Global Health Observatory (GHO) for comparative health systems research.