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SSB-MCP

@haakonjacobsen

关于 SSB-MCP

MCP server for interacting with Statistics Norway (SSB) API - enabling AI agents to access Norwegian statistical data

基本信息

分类

其他

传输方式

stdio

发布者

haakonjacobsen

配置

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代码仓库

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概览

What is SSB-MCP?

SSB-MCP is a Model Context Protocol (MCP) server that provides a standardized interface for AI agents to interact with Statistics Norway's (SSB) API, enabling access to Norwegian statistical data through a well-defined structure.

How to use SSB-MCP?

Install Node.js (v18 or higher), clone the repository, run npm install, configure environment variables in a .env file (optionally including an SSB API key), and start the server with npm start. AI agents can then connect via the MCP protocol.

Key features of SSB-MCP

  • Standardized access to SSB’s statistical databases
  • Easy-to-use interface for AI agents
  • Support for both Norwegian and English queries
  • Structured data retrieval from SSB’s API
  • Caching mechanism for improved performance

Use cases of SSB-MCP

  • AI assistants answering questions about Norwegian demographics
  • Automated retrieval of economic indicators for analysis
  • Integration with data-science workflows requiring official statistics
  • Natural-language queries to SSB’s data catalog

FAQ from SSB-MCP

What does SSB-MCP do that the raw SSB API does not?

SSB-MCP wraps the SSB API in the MCP standard, making it directly consumable by AI agents without custom integration code. It also provides caching and bilingual query support.

What are the runtime requirements?

Node.js version 18 or higher and npm or yarn are required. An API key from SSB may be needed depending on the endpoint.

Where does the data live?

The server retrieves data on demand from Statistics Norway’s public API; no data is stored locally beyond the optional cache.

Is authentication required?

The README notes an "API key from SSB (if required)" – authentication depends on the SSB endpoint being accessed.

Is the API documentation complete?

No. The README states that detailed API documentation will be available once the initial implementation is complete.

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