Estonian Transport MCP

An MCP server for Estonian public transport — timetables, trip planning, stop search, and real-time vehicle tracking.

Tools

| Tool | Description | |------|-------------| | search_stops | Search for stops by name (e.g. "Viru", "Balti jaam") | | get_departures | Get upcoming departures from a stop, with real-time predictions | | plan_trip | Plan a trip between two coordinates with date/time options | | nearby_stops | Find stops within a radius of a location | | get_route | Get route details including all stop patterns | | get_trip_stops | Get full schedule of a specific trip — all stops with arrival/departure times | | tallinn_vehicles | Real-time GPS positions of Tallinn buses, trams, and trolleybuses |

Prerequisites

This server runs via uvx, a zero-install Python package runner. Install uv first:

# macOS / Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

# or via Homebrew
brew install uv

No other setup needed — uvx automatically downloads dependencies on first run.

Usage

Claude Code

Add to your MCP settings (.claude/settings.json or project-level .mcp.json):

{
  "mcpServers": {
    "estonian-transport": {
      "command": "uvx",
      "args": ["estonian-transport-mcp"]
    }
  }
}

Claude Desktop

Config file location:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

Add to the mcpServers section:

{
  "mcpServers": {
    "estonian-transport": {
      "command": "uvx",
      "args": ["estonian-transport-mcp"]
    }
  }
}

Note: Claude Desktop may not find uvx in its PATH. If the server fails to start, replace "uvx" with the full path. Find it by running which uvx in your terminal, then use that path: ``json { "mcpServers": { "estonian-transport": { "command": "/Users/yourname/.local/bin/uvx", "args": ["estonian-transport-mcp"] } } } ``

Restart Claude Desktop after saving the config.

Remote server (HTTP)

Run as an HTTP server for remote access (e.g. from claude.ai/code on mobile):

estonian-transport-mcp --transport streamable-http --port 8000

Then connect to it from any MCP client using the URL http://your-server:8000/mcp.

Example deployment with systemd on a VPS:

[Unit]
Description=Estonian Transport MCP
After=network.target

[Service]
ExecStart=/home/user/.local/bin/estonian-transport-mcp --transport streamable-http --port 8000
Restart=always
User=user

[Install]
WantedBy=multi-user.target

Manual testing

# stdio mode (default)
uvx estonian-transport-mcp

# HTTP mode
uvx estonian-transport-mcp --transport streamable-http --port 8000

Test interactively with the MCP Inspector:

npx @modelcontextprotocol/inspector uvx estonian-transport-mcp

Data Sources & APIs

Peatus.ee — OpenTripPlanner GraphQL API

• Endpoint: https://api.peatus.ee/routing/v1/routers/estonia/index/graphql
• Protocol: GraphQL over HTTP POST
• Authentication: None (open access)
• Maintained by: Transpordiamet (Estonian Transport Administration)
• Coverage: All Estonian public transport — buses, trams, trolleybuses, trains, and ferries nationwide
• Data: Stop search, departure times, trip planning, route patterns, real-time arrival predictions
• Based on: OpenTripPlanner with Digitransit
• Underlying data: National GTFS feed consolidated from all Estonian transport operators

Used by tools: search_stops, get_departures, plan_trip, nearby_stops, get_route

Tallinn Transport — Real-Time Vehicle GPS

• Endpoint: https://transport.tallinn.ee/gps.txt
• Protocol: Plain-text CSV over HTTP GET
• Authentication: None (open access)
• Update frequency: ~10 seconds
• Coverage: Tallinn city only — buses, trams, and trolleybuses operated by TLT (Tallinna Linnatransport)
• Data: Vehicle type, line number, GPS coordinates (WGS84 microdegrees), heading, vehicle ID, destination
• Format: Each line is one vehicle: type,line,lon,lat,,heading,vehicle_id,status,unknown,destination
• Vehicle types: 1 = trolleybus, 2 = bus, 3 = tram
• Coordinates: integer microdegrees (divide by 1,000,000 for decimal degrees)
• Heading 999 = unknown

Used by tools: tallinn_vehicles

Tech Stack

• Python with FastMCP (mcp[cli])
• httpx for async HTTP requests
• Transport: stdio (standard MCP transport for local integrations)