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SSB-MCP

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

#ssb-mcp#statistics
Created by haakonjacobsen2025/03/27
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What is SSB-MCP?

what is SSB-MCP? SSB-MCP is a Machine Communication Protocol (MCP) server designed for interacting with the Statistics Norway (SSB) API, enabling AI agents to access Norwegian statistical data. how to use SSB-MCP? To use SSB-MCP, clone the repository from GitHub, install the necessary dependencies, configure your environment variables, and start the server to begin accessing the SSB API. 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? Enabling AI agents to retrieve and analyze Norwegian statistical data. Facilitating research and data analysis in various fields using SSB's datasets. Supporting applications that require real-time access to statistical information. FAQ from SSB-MCP? What is required to run SSB-MCP? You need Node.js (v18 or higher), npm or yarn, and an API key from SSB if required. Is there documentation available? Yes, detailed API documentation will be available once the initial implementation is complete. Can I contribute to the project? Yes! Contributions are welcome, and you can submit a Pull Request.

As an MCP (Model Context Protocol) server, SSB-MCP enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use SSB-MCP

To use SSB-MCP, clone the repository from GitHub, install the necessary dependencies, configure your environment variables, and start the server to begin accessing the SSB API. 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? Enabling AI agents to retrieve and analyze Norwegian statistical data. Facilitating research and data analysis in various fields using SSB's datasets. Supporting applications that require real-time access to statistical information. FAQ from SSB-MCP? What is required to run SSB-MCP? You need Node.js (v18 or higher), npm or yarn, and an API key from SSB if required. Is there documentation available? Yes, detailed API documentation will be available once the initial implementation is complete. Can I contribute to the project? Yes! Contributions are welcome, and you can submit a Pull Request.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like SSB-MCP can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like SSB-MCP provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.