Skip to main content

iRail MCP Server

Disclaimer: This project was vibe coded and is not affiliated with or supported by iRail vzw. Train data may be inaccurate or outdated. Always verify with official sources (belgiantrain.be or the NMBS/SNCB app) before making travel decisions.

A Model Context Protocol (MCP) server that provides Belgian railway travel information via the iRail API.

Features

  • Search Stations - Find Belgian railway stations by name
  • Live Departures/Arrivals - Real-time departure and arrival boards
  • Find Connections - Route planning between stations with transfers
  • Train Information - Detailed stops, delays, and platforms for a specific train
  • Network Disturbances - Current disruptions and planned maintenance

Installation

Requires Python 3.11+ and uv.

git clone https://github.com/HansF/irail-mcp.git
cd irail-mcp
uv venv && source .venv/bin/activate
uv pip install -e .

Usage with Claude Code

Add to your project's .mcp.json:

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

Then ask Claude things like:

  • "What trains leave Brussels Central in the next hour?"
  • "Find a route from Antwerp to Bruges at 2:30 PM tomorrow"
  • "Are there any disruptions on the Belgian rail network?"
  • "Show me details for train IC2240"

Tools

search_stations

Search for stations by name.

  • query (required) - Station name or partial name
  • lang (optional) - Language: en, nl, fr, de, it

get_liveboard

Real-time departures or arrivals from a station.

  • station (required) - Station name
  • date (optional) - YYYY-MM-DD, "today", "tomorrow", "+2 days"
  • time (optional) - HH:MM (24h)
  • arrival (optional) - Show arrivals instead of departures
  • lang (optional)

find_connections

Find routes between two stations.

  • from_station (required) - Departure station
  • to_station (required) - Destination station
  • date, time, lang (optional)
  • arrival_time (optional) - If true, time is desired arrival time

get_train_info

Detailed information about a specific train.

  • train_id (required) - e.g. "IC1234" or "BE.NMBS.IC1234"
  • date, lang (optional)

get_disturbances

Current network disruptions and planned works.

  • lang (optional)

Running Tests

uv pip install -e ".[dev]"
python -m pytest tests/ -v

API Compliance

  • Rate limited to 3 requests/second per iRail guidelines
  • Proper User-Agent header set
  • 30-second timeout for slow responses

License

MIT

References

Metadata

Release files for irail-mcp 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for irail-mcp 0.2.0
File Size Uploaded Provenance
irail_mcp-0.2.0.tar.gz 35.3 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for irail-mcp 0.2.0
File Interpreter ABI Platform
irail_mcp-0.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 67.8 kB

Release files / irail_mcp-0.2.0.tar.gz

Download URL irail_mcp-0.2.0.tar.gz
Size 35.3 kB
Tags Source
SHA-256 checksum
How to use checksums
3eb6ed86daf96faf4006bc2d8e2d6e72918d752abe6d24438a79de2e5be6ea4c
BLAKE2b-256 checksum
How to use checksums
eec8a49e795f21cd0dc8e7df4f44db8656bf7d64dd9471b8df24f1bb2bef926b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Feb 7, 2026.

Transparency log

Release files / irail_mcp-0.2.0-py3-none-any.whl

Download URL irail_mcp-0.2.0-py3-none-any.whl
Size 32.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
6a6712a8a7906d1c22b97ff786b12413ccffbb57837ee9c86b0575eca1d59ae4
BLAKE2b-256 checksum
How to use checksums
f86067d8a7312f51f8ea5a6beb85e564e983241f567ff8bde5c5b504cd78d203
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Feb 7, 2026.

Transparency log

Security for irail-mcp 0.2.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for irail_mcp-0.2.0.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Feb 7, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page