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io.github.arose26/statcan-mcp

Registre officiel Données et bases de données

Statistics Canada's 8,200+ data tables: CPI, GDP, labour force, housing. No API key.

Code source Documentation

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

NPM package statcan-mcp
Claude Code 
claude mcp add statcan-mcp -- npx -y statcan-mcp@0.1.1
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "statcan-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "statcan-mcp@0.1.1"
            ]
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. statcan-mcp
  2. Why this exists
  3. Quick start
  4. Tools
  5. Example prompts
  6. Development
  7. Notes
  8. Roadmap
  9. License

statcan-mcp

An MCP server that gives Claude and other LLMs live access to Statistics Canada — all 8,200+ data tables from the Web Data Service: CPI, GDP, labour force, housing starts, population, trade, and more.

No API key required.

Sibling project: bank-of-canada-mcp for Bank of Canada rates and FX.

Why this exists

StatCan's API is powerful but hostile: POST-only lookups, opaque numeric vector IDs, 10-position "coordinate" addressing, and numeric code enums everywhere (scalarFactorCode: 3). This server translates it into something an LLM can actually drive:

  • Discovery flow built into the tools — search tables → inspect dimensions → fetch data, with each tool description pointing to the next step.
  • Context-friendly by default — a CPI dimension has 359 members and a series can span a century; members are capped and keyword-filterable, data defaults to the last 12 periods.
  • Codes decoded at runtime via StatCan's own code-set endpoint — responses say "scale": "thousands" and "note": "use with caution", not scalarFactorCode: 3, statusCode: 5. Nothing hardcoded to go stale.
  • Forgiving inputs — vector IDs accepted as v41690973 or 41690973; coordinates padded automatically.

Quick start

Claude Code

claude mcp add statcan -- npx -y statcan-mcp

Claude Desktop — add to claude_desktop_config.json:

{
  "mcpServers": {
    "statcan": {
      "command": "npx",
      "args": ["-y", "statcan-mcp"]
    }
  }
}

The same npx invocation works in Cursor, Windsurf, and any other MCP client.

Tools

ToolWhat it does
search_tablesKeyword search across all ~8,200 data tables
get_table_metadataA table's dimensions and members (capped, filterable) — the map you need to pull data
get_data_by_vectorsTime series by vector ID(s), date range or latest-N
get_data_by_coordinateTime series by table + one member choice per dimension
get_series_infoDecode a mystery vector ID into its title and source table

Example prompts

  • "What's Canada's current unemployment rate, and how has it trended over 12 months?"
  • "Compare gasoline price inflation in Ontario vs Quebec since 2024."
  • "How many housing starts were there in Canada last quarter?"
  • "What is vector v41690973?"

Development

npm install
npm test           # offline unit tests (vitest)
npm run build      # tsc → dist/
node scripts/smoke.mjs   # live smoke test against the real API

Architecture: src/wds.ts is a plain WDS client with pure, unit-tested logic (catalogue search, coordinate padding, code decoding); src/index.ts is the MCP wiring. API failures (unknown vector, bad coordinate) come back as MCP tool errors carrying StatCan's own message so the model can self-correct.

Notes

  • Data is © Statistics Canada, used under the Statistics Canada Open Licence. This project is not affiliated with or endorsed by Statistics Canada.
  • English output only for now (the API also carries French — see roadmap).

Roadmap

  • French-language output (*Fr fields are already in the API responses)
  • Full-table CSV download for bulk analysis
  • Streamable HTTP transport for remote deployment

License

MIT

Questions fréquentes

Qu'est-ce que io.github.arose26/statcan-mcp ?

Statistics Canada's 8,200+ data tables: CPI, GDP, labour force, housing. No API key.

Comment installer io.github.arose26/statcan-mcp ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add statcan-mcp -- npx -y statcan-mcp@0.1.1. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.arose26/statcan-mcp ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

io.github.arose26/statcan-mcp est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient io.github.arose26/statcan-mcp ?

Il est publié par arose26. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.