# Data Paris [Health: Active]

**Category:** 📊 Data Platforms  
**Repository:** https://github.com/pipeworx-io/mcp-data-paris  
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**Directory Page:** https://allmcps.com/mcp/data-paris

## Description
Paris Open Data (opendata.paris.fr) — OpenDataSoft MCP.

## Tools
Capabilities this server exposes over MCP:

- **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).

## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `npx` (confidence: high):

```json
"mcpServers": {
  "data-paris": {
    "command": "npx",
    "args": ["-y","@pipeworx/mcp-data-paris"]
  }
}
```

## Documentation

## What the Data Paris MCP server does

The Data Paris MCP server connects AI agents to Paris Open Data at opendata.paris.fr through the OpenDataSoft platform. It is intended for finding and analyzing public datasets rather than for writing data back to the source.

The available tools cover three stages of a typical workflow:

- `search_datasets` finds datasets using keywords such as mobility, trees, events, city services, urban planning, or environmental topics. Results include dataset IDs, titles, themes, and record counts.
- `dataset_info` returns metadata for a selected dataset, including its fields, schema, themes, and record count.
- `query` retrieves or summarizes records from a dataset using ODSQL. It supports conditions, grouping and selected fields, ordering, and offset-based pagination.

Use `dataset_info` before writing a query when the field names are unknown. The returned schema helps determine which columns can be used in filters, grouping, or selected output.

## How it works

The hosted option uses the Pipeworx gateway. Add the streamable HTTP endpoint `https://gateway.pipeworx.io/data-paris/mcp` to an MCP client. The gateway exposes the pack's three tools and also includes shared Pipeworx meta-tools, so the tool list is larger than the Data Paris-specific list. Its `ask_pipeworx` tool can route questions across the wider Pipeworx catalog.

The full gateway endpoint, `https://gateway.pipeworx.io/mcp`, is another connection option. Both hosted URLs reach the same gateway and data sources; they differ in which pack tools are listed directly.

The Data Paris MCP server can also run locally as a stdio process. In that mode, it exposes only the pack's own tools and does not use the gateway's shared meta-tools or routing. The local package and hosted gateway access the same source data.

## Setup and configuration

For a hosted connection, add the following MCP server configuration:

```json
{
  "mcpServers": {
    "data-paris": {
      "url": "https://gateway.pipeworx.io/data-paris/mcp"
    }
  }
}
```

For local stdio use, configure npx to download and run the package:

```json
{
  "mcpServers": {
    "data-paris": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-data-paris"]
    }
  }
}
```

Running `npx -y @pipeworx/mcp-data-paris` directly starts the local MCP process.

Without an MCP client, individual tools can be called over HTTP. For example, the hosted REST-style endpoint for dataset search is `POST https://gateway.pipeworx.io/v1/tools/data_paris_search_datasets` with a JSON body containing a `query` value.

## Tools and capabilities

A practical sequence is to search for a subject, inspect the chosen dataset's metadata, then query its records. ODSQL queries can narrow records with `where`, produce grouped or selected results with `group_by` and `select`, order results with `order_by`, and divide large responses with `limit` and `offset`.

The server fits questions that depend on Paris-specific public datasets, such as identifying relevant mobility data, examining tree records, or summarizing an urban-planning dataset. It does not replace schema inspection: query field names depend on the selected dataset.

## Limitations and notes

The hosted pack endpoint includes shared gateway tools in addition to the three pack tools. The exact combined tool scope can change, so the connection's `initialize` response is authoritative. Choose the local stdio package when only the Data Paris tools are wanted, or use the full gateway when direct access to all catalog packs is preferable.

_Full upstream README: https://allmcps.com/mcp/data-paris/readme_