data.gouv.fr MCP — Anwendungsfälle, Installieren & Live-Demo

Name: data.gouv.fr MCP Server
Author: datagouv

Warum nutzen

Hauptfunktionen

Full-text search across tens of thousands of public datasets
Metadata (license, publisher, update frequency, tags) for each dataset
Resource URLs (CSV/JSON/XLSX) for direct download
No API key — entirely public data
Coverage: demographics, transport, environment, health, elections, INSEE etc.

Live-Demo

In der Praxis

datagouv.replay ▶ bereit

0/0

Installieren

Wählen Sie Ihren Client

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

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

Öffne Claude Desktop → Settings → Developer → Edit Config. Nach dem Speichern neu starten.

~/.cursor/mcp.json · .cursor/mcp.json

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

Cursor nutzt das gleiche mcpServers-Schema wie Claude Desktop. Projektkonfiguration schlägt die globale.

VS Code → Cline → MCP Servers → Edit

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

Klicken Sie auf das MCP-Servers-Symbol in der Cline-Seitenleiste, dann "Edit Configuration".

~/.codeium/windsurf/mcp_config.json

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

Gleiche Struktur wie Claude Desktop. Windsurf neu starten zum Übernehmen.

~/.continue/config.json

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

Continue nutzt ein Array von Serverobjekten statt einer Map.

~/.config/zed/settings.json

{
  "context_servers": {
    "datagouv": {
      "command": {
        "path": "uvx",
        "args": [
          "datagouv-mcp"
        ]
      }
    }
  }
}

In context_servers hinzufügen. Zed lädt beim Speichern neu.

claude mcp add datagouv -- uvx datagouv-mcp

Einzeiler. Prüfen mit claude mcp list. Entfernen mit claude mcp remove.

Anwendungsfälle

Praxisnahe Nutzung: data.gouv.fr

Find a French public dataset by topic

👤 Journalists, researchers, civic-tech devs ⏱ ~10 min beginner

Wann einsetzen: You need 'unemployment by département, monthly' or similar and don't know where it lives.

Ablauf

Search by keywords

Search data.gouv.fr for 'chômage département mensuel'. Return top 10 datasets with title, publisher, last update.✓ Kopiert

→ Relevant dataset list
Inspect the most promising

For the top 3, fetch full metadata: license, update frequency, resources, description. Which is the most current + official?✓ Kopiert

→ Comparison summary
Get download URLs

Return the CSV resource URL(s) for the chosen dataset. I'll download it separately.✓ Kopiert

→ Direct download URL(s)

Ergebnis: A shortlist of authoritative datasets with direct download links.

Fallstricke

Datasets sometimes have broken resource URLs — Check the 'last_modified' metadata; older + unmaintained = more likely broken. Prefer INSEE-published if available.

Kombinieren mit: filesystem

Catalog all datasets published by a specific ministry or agency

👤 Researchers mapping data availability ⏱ ~15 min intermediate

Wann einsetzen: You want to know everything INSEE or Ministère de la Transition écologique publishes.

Ablauf

Look up the organization

Find the data.gouv organization page for 'INSEE'. Return its slug.✓ Kopiert

→ Canonical org id
List all datasets

List every dataset published by that org. Page through all results. Return title, id, last update, resource count.✓ Kopiert

→ Full catalog
Categorize

Group by theme (population, economy, territory, etc.). Count datasets per theme.✓ Kopiert

→ Thematic histogram

Ergebnis: A structured inventory of a French public org's open data.

Fallstricke

Large orgs have 1000+ datasets — pagination matters — Always page through all results; don't trust the first page as complete

Kombinieren mit: filesystem

Watch for newly published or updated datasets on a topic

👤 Civic tech / policy analysts ⏱ ~15 min intermediate

Wann einsetzen: You want to be alerted when new COVID/election/housing datasets appear.

Ablauf

Baseline search today

Search for '<topic>' and save the top 50 dataset ids + last_modified dates as /data/datagouv-<topic>-baseline.json.✓ Kopiert

→ Baseline saved
Weekly rerun

Rerun the search. Compare against baseline. Return (a) new datasets not in baseline, (b) datasets whose last_modified increased.✓ Kopiert

→ Delta report
Surface the interesting ones

Filter the delta by official publishers (ministries, INSEE, agencies). Produce a 1-line summary per new/updated dataset.✓ Kopiert

→ Curated digest

Ergebnis: A weekly alert on authoritative new French data in your topic.

Fallstricke

Aggregators re-publish old data with new last_modified — noise — Prefer datasets whose publisher is an official org, not a re-publishing community

Kombinieren mit: filesystem

Kombinationen

Mit anderen MCPs für 10-fache Wirkung

datagouv + filesystem

Download and archive datasets locally

Search 'recensement population' on data.gouv, pick the INSEE one, download CSV, save to /data/insee/.✓ Kopiert

datagouv + postgres

Ingest a French open dataset into Postgres for analysis

Download the latest unemployment dataset, infer schema, CREATE TABLE and COPY into Postgres.✓ Kopiert

datagouv + antv-chart

Quick chart from a French open dataset

Download dataset X, filter to 2020-2024, render as a line chart per région.✓ Kopiert

Werkzeuge

Was dieses MCP bereitstellt

Werkzeug	Eingaben	Wann aufrufen	Kosten
search_datasets	q: str, page?, page_size?	Keyword search over datasets	free
get_dataset	dataset_id_or_slug	Full metadata + resources for a specific dataset	free
search_organizations	q: str	Find a ministry/agency's canonical id	free
list_organization_datasets	org_id, page?	Catalog a publisher's full output	free

Kosten & Limits

Was der Betrieb kostet

API-Kontingent: Public API; fair-use throttling (few req/sec is safe)
Tokens pro Aufruf: Dataset metadata: 500–2000 tokens depending on field count
Kosten in €: Free
Tipp: Cache dataset ids locally; metadata rarely changes week-over-week.

Sicherheit

Rechte, Secrets, Reichweite

Credential-Speicherung: None needed

Datenabfluss: All calls to www.data.gouv.fr and resource hosts

Data is public but licenses vary (Licence Ouverte most common); always check the dataset's license before redistribution.

Fehlerbehebung

Häufige Fehler und Lösungen

404 on get_dataset

Dataset id changed or was delisted. Use search instead of a cached id.

Rate limited

Space out calls; <5 req/sec is safe. No official limit but fair-use enforced.

Resource URL returns 403/404

Some datasets have broken links; prefer the most recently updated resource or the official publisher's own page.

Alternativen

data.gouv.fr vs. andere

Alternative	Wann stattdessen	Kompromiss
data.europa.eu MCP	You need pan-EU data, not just France	Broader but less French-specific depth
INSEE API MCP	You only need official INSEE stats with clean API access	Narrower scope; French statistical office only

Mehr

Ressourcen

📖 Offizielle README auf GitHub lesen

🐙 Offene Issues ansehen

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