SSB-MCP: Seamless API Integration, Actionable Data Insights

SSB-MCP empowers AI systems to seamlessly access Norway’s official statistics via SSB’s API, unlocking data-driven insights for analytics and informed decision-making.

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About SSB-MCP

What is SSB-MCP: Seamless API Integration, Actionable Data Insights?

SSB-MCP is a purpose-built Machine Communication Protocol (MCP) server designed to bridge AI agents with Statistics Norway's (SSB) expansive data repositories. By standardizing access to Norway’s official statistical datasets, this middleware solution enables developers to integrate real-time demographic, economic, and societal metrics into AI workflows with minimal configuration. Built for interoperability, it abstracts complexity behind a clean API facade while maintaining rigorous data integrity standards.

How to Use SSB-MCP: Seamless API Integration, Actionable Data Insights?

Integrating SSB-MCP follows a straightforward process:

Install Node.js v18+ and configure environment variables using the provided template
Obtain an SSB API key through their official developer portal
Deploy the server instance using npm
Interrogate the API endpoints using structured queries in Norwegian or English

Full API specifications will be published once the implementation stabilizes, but early adopters can start prototyping with the current endpoint structure.

SSB-MCP Features

Key Features of SSB-MCP: Seamless API Integration, Actionable Data Insights?

Cross-lingual query support: Enable multilingual data requests using natural language processing compatible syntax
Adaptive caching: Automatic result caching reduces redundant API calls while ensuring freshness thresholds are maintained
Type-safe data structures: Returns consistently formatted datasets ready for machine learning pipelines
Granular error handling: Context-aware error messaging to aid debugging and system resilience

Use Cases of SSB-MCP: Seamless API Integration, Actionable Data Insights?

Organizations leverage this tool for:

Economic forecasting models requiring real-time labor market statistics
Public sector applications validating policy proposals against demographic trends
Corporate analytics platforms needing standardized access to Norwegian industry benchmarks
Academic research projects aggregating historical statistical data with modern ML workflows

SSB-MCP FAQ

FAQ from SSB-MCP: Seamless API Integration, Actionable Data Insights?

How do I handle API rate limits?

Implement exponential backoff strategies using the retry-after headers provided in throttling responses

What authentication methods are supported?

Currently supports API key authorization via HTTP headers. OAuth2 integration planned for v2.0

Can I customize caching parameters?

Yes, TTL values and cache eviction policies are configurable through environment variables

Where can I find implementation examples?

Sample code snippets and Postman collections are maintained in the official repository

Content

SSB-MCP

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

Overview

SSB-MCP is a Machine Communication Protocol (MCP) server that provides a standardized interface for AI agents to interact with Statistics Norway's (SSB) API. This service enables seamless access to Norwegian statistical data through a well-defined API structure.

Features

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

Getting Started

Prerequisites

Node.js (v18 or higher)
npm or yarn
API key from SSB (if required)

Installation

Clone the repository:

git clone https://github.com/haakonjacobsen/ssb-mcp.git
cd ssb-mcp

Install dependencies:

npm install

Configure environment variables:

cp .env.example .env
# Edit .env with your configuration

Start the server:

npm start

API Documentation

Detailed API documentation will be available once the initial implementation is complete.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

Statistics Norway (SSB) for providing the data API
The MCP framework for standardized agent communication