MCP.so
ログイン

MCP Cbs Cijfers Open Data

@dstotijn

基本情報

カテゴリ

データと分析

ライセンス

Apache-2.0 license

トランスポート

stdio

作者

dstotijn

MCP Cbs Cijfers Open Data について

MCP server for working with CBS Cijfers Open Data

#mcp#opendata#cbs#overheid

MCP Cbs Cijfers Open Data の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "cbs-cijfers-open-data": {
      "command": "go",
      "args": [
        "run",
        "github.com/dstotijn/mcp-cbs-cijfers-open-data@latest"
      ]
    }
  }
}

MCP Cbs Cijfers Open Data のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is mcp-cbs-cijfers-open-data?

mcp-cbs-cijfers-open-data is a Model Context Protocol (MCP) server that wraps the CBS Open Data API, enabling AI tools to list datasets, query metadata, retrieve statistical data, and explore dimension values via MCP tools.

How to use mcp-cbs-cijfers-open-data?

Install Go 1.24, then configure your MCP host (e.g., Claude Desktop, Cursor) by adding the server entry with command: "go" and args: ["run", "github.com/dstotijn/mcp-cbs-cijfers-open-data@latest"]. The server can also be run manually using the mcp-cbs-cijfers-open-data binary with optional flags -http, -sse, and -stdio to choose transport.

Key features of mcp-cbs-cijfers-open-data

  • Lists all available CBS data catalogs
  • Queries datasets with advanced OData filtering, sorting, and pagination
  • Retrieves dataset dimensions and their possible values
  • Fetches observations (statistical data) with optional filters
  • Supports OData $select, $filter, $orderby, $top, $skip, and $search
  • Provides OData service metadata document for the CBS API

Use cases of mcp-cbs-cijfers-open-data

  • AI assistants exploring which CBS datasets are available for a research question
  • Fetching metadata and dimensions to understand a dataset’s structure
  • Filtering observations to retrieve specific statistics (e.g., by year or region)
  • Programmatic discovery of data catalogs without manual API calls

よくある質問

1

What is the purpose of this server?

It allows AI tools (via MCP) to interact with the CBS Open Data API to list catalogs, query datasets, and retrieve statistical data.

2

What are the runtime requirements?

Go 1.24 installed on the system.

3

How do I run the server manually?

Use the `mcp-cbs-cijfers-open-data` binary with flags like `--sse` or `--stdio`. For example: `mcp-cbs-cijfers-open-data --stdio=false --sse` starts the server over SSE transport on port 8080.

4

What transport options are available?

Three transports: stdio (default), SSE (Server-Sent Events over HTTP), and HTTP (JSON-RPC). You enable them with the `-stdio`, `-sse`, and `-http` flags.

5

Is authentication required?

No authentication is required; the server communicates with the publicly available CBS Open Data API.

コメント

「データと分析」の他のコンテンツ