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    Provides real-time access to Transport for London data, enabling users to check tube line statuses, get disruption details, and plan journeys between London locations. Uses the official TfL Unified API to deliver live transport information through AI assistants.
    3
    8 npm
    MIT
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    Transport for London data: line status, live arrivals, journey planning and stop lookup. Read-only and cached; needs a free TfL API key.
    245 npm
    2
    MIT
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    Enables AI agents to access real-time public transport data for Moscow and the Moscow region, aggregating and reconciling information from multiple sources. Provides tools for finding stops, live arrival boards, vehicle tracking, route details, and ETA calculations.
    MIT
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    Stockholm public transport (SL) for AI assistants: live departures with platforms and delays, trip planning to stops or street addresses with exits, crowding and walks, and disruptions. No API key. Also hosted at https://sl-mcp.miltonlindblad.workers.dev/mcp
    4
    4
    MIT
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    MCP server for sthan.io - US address verification, parsing, autocomplete, forward/reverse geocoding, and IP geolocation. 8 tools, TypeScript, stdio transport. Free tier, no credit card required.
    8
    MIT
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    Enables AI assistants to query live arrivals, vehicle positions, routes, stops, and timetables across the Athens public transport network, with stop lookups by name or coordinate in Greek or Latin script. Results cover OASA buses, trolleys, metro, and tram, falling back to cached reference data when the upstream API is unreachable.
    10
    1
    MIT
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    Enables natural language search and retrieval of data from Japan's Ministry of Land, Infrastructure, Transport and Tourism (MLIT) Data Platform, including location-based queries, attribute filtering, and data visualization capabilities.
    18
    MIT
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    Enables AI assistants to answer real-time questions about Paris public transport through the Île-de-France Mobilités PRIM API: searching stops, checking next departures, planning journeys, and listing traffic disruptions. Results come back as short, LLM-readable text, with API errors surfaced as clear tool errors rather than crashes.
    4
    MIT
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    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.
    2
    55 npm
    MIT
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    An MCP server exposing Greater Helsinki public transport data from Digitransit, enabling LLM hosts to answer live transit queries, plan journeys, and fetch stop departures via natural language.
    3
    4 npm
    MIT
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    Connects AI assistants to live public transport data across Great Britain, enabling searches for stops and stations, real-time bus and rail departures, live vehicle positions, service disruptions, and door-to-door journey planning. All tools are read-only and require an API key.
    10
    29 PyPI
    MIT
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    Enables MCP clients to look up live arrivals, date-aware schedule fallbacks, service alerts, vehicle positions, and an offline stop/route index for public transport in Timișoara, served over stdio or Streamable HTTP. Results come back as typed envelopes with explicit provenance, staleness, and structured errors.
    7
    17 PyPI
    MIT
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    Beach Safety MCP — comprehensive beach and surf conditions for any beach worldwide: waves, swell, wind, air and water temperature, UV index, rip current risk, and a 1-10 safety score. No API keys needed. Python, stdio transport.
    4
    1
    MIT