Server data from the Official MCP Registry
SNCF Open Data (ressources.data.sncf.com) — OpenDataSoft MCP.
About
SNCF Open Data (ressources.data.sncf.com) — OpenDataSoft MCP.
Remote endpoints: streamable-http: https://gateway.pipeworx.io/data-sncf/mcp
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. Trust signals: trusted author (1101/1112 approved). 1 finding(s) downgraded by scanner intelligence.
33 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-pipeworx-io-data-sncf": {
"url": "https://gateway.pipeworx.io/data-sncf/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
mcp-data-sncf
SNCF Open Data (ressources.data.sncf.com) — OpenDataSoft MCP.
Part of Pipeworx — an MCP gateway connecting AI agents to 1394+ live data sources.
Tools
| Tool | Description |
|---|---|
search_datasets | Search SNCF Open Data for datasets by keyword (train schedules, stations, punctuality, ridership & the rail network). Returns dataset_ids (pass to query/dataset_info), titles, themes and record counts. |
dataset_info | Get metadata for one SNCF Open Data dataset (fields/schema, themes, record count) — call before query to learn the column names. |
query | Query records from a SNCF Open Data dataset with ODSQL. Filter (where), aggregate (group_by/select), sort (order_by), paginate (limit/offset). |
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"data-sncf": {
"url": "https://gateway.pipeworx.io/data-sncf/mcp"
}
}
}
Or connect to the full Pipeworx gateway for access to all 1394+ data sources:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English:
ask_pipeworx({ question: "your question about Data Sncf data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Reviews
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