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Paris Open Data (opendata.paris.fr) — OpenDataSoft MCP.
About
Paris Open Data (opendata.paris.fr) — OpenDataSoft MCP.
Remote endpoints: streamable-http: https://gateway.pipeworx.io/data-paris/mcp
Security Report
10.0
Low Risk10.0Low RiskValid 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-paris": {
"url": "https://gateway.pipeworx.io/data-paris/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
mcp-data-paris
Paris Open Data (opendata.paris.fr) — OpenDataSoft MCP.
Part of Pipeworx — an MCP gateway connecting AI agents to 1118+ live data sources.
Tools
| Tool | Description |
|---|---|
search_datasets | Search Paris Open Data for datasets by keyword (city services, mobility, trees, events, urban planning & environment). Returns dataset_ids (pass to query/dataset_info), titles, themes and record counts. |
dataset_info | Get metadata for one Paris Open Data dataset (fields/schema, themes, record count) — call before query to learn the column names. |
query | Query records from a Paris 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-paris": {
"url": "https://gateway.pipeworx.io/data-paris/mcp"
}
}
}
Or connect to the full Pipeworx gateway for access to all 1118+ 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 Paris data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
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