"Tor Browser" matching MCP servers:

Enables AI agents to run domain-intelligence investigations through six free tools: sanctions screening, IP geolocation with VPN/Tor detection, email validation with breach status, company profiling, WHOIS and email-security scoring, and a single-call domain dossier.

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

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.

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.

MCP server for official statistics from Statistics Finland (Tilastokeskus) — the StatFin database, exposed through the PxWeb API. Search 3000+ tables, inspect their dimensions, and pull data as JSON-stat2.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.

Remote MCP server for the UNESCO Institute for Statistics (UIS): ~5,000 indicators on education, science/R&D, culture and communication by country, region and year — hosted, nothing to install, no API key, with source URL, data release, retrieval timestamp and licence on every answer.

MCP server for Finnish public procurement notices (Hilma). Enables searching and retrieving procurement notices directly from Claude without a separate browser.

MCP server that wraps UDIR's open registries for Norwegian schools (NSR) and kindergartens (NBR), enabling search by municipality and retrieval of full details including coordinates and enrollment.

MCP server that wraps NVE's open GIS data to provide flood risk and landslide risk point lookups, with explicit uncertainty reporting (e.g., 'no data' vs 'safe') and source references.

MCP server that wraps open Norwegian neighborhood data, enabling queries for public transport coverage, traffic noise, and green areas around a location.

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

Enables direct interaction with FamilySearch.org's shared Family Tree and historical records, including reading and adding people, facts, relationships, sources, notes, memories, record search, and image downloads, without needing a browser.

Exposes 26 structured analytical tools over Climate Finance Update datasets, enabling fund-level financial analysis, portfolio aggregations, and data quality diagnostics without requiring the client to write data access code.

MCP server that wraps Kartverket's open APIs for Norwegian geographic data including place names, addresses, elevation, municipalities, properties, statistical districts, and building points. Requires no authentication.

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).

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

Provides South Korea tourist congestion and concentration forecasts, quiet-area recommendations, and attraction/festival search via MCP clients using a public data portal key.

Enables querying FDA drug shortages and recalls joined with federal contract data to assess supplier exposure, with confidence-level evidence and no signup.

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.