mcp-cbs-cijfers-open-data
MCP server for working with CBS Cijfers Open Data
What is mcp-cbs-cijfers-open-data?
What is MCP CBS Cijfers Open Data? MCP CBS Cijfers Open Data is a Model Context Protocol (MCP) server designed to facilitate interaction with the CBS Open Data API, allowing AI tools to access and utilize statistical data. How to use MCP CBS Cijfers Open Data? To use the MCP server, install the program using Go, configure it to run as an MCP server, and utilize the provided tools to list datasets, retrieve metadata, and query statistical data. Key features of MCP CBS Cijfers Open Data? Implements a Model Context Protocol (MCP) server. Tools for listing available datasets, retrieving dataset metadata, and querying statistical data. Use cases of MCP CBS Cijfers Open Data? Accessing and analyzing public statistical data from CBS. Integrating CBS data into AI applications for enhanced data insights. Facilitating research and data analysis in various fields such as economics and social sciences. FAQ from MCP CBS Cijfers Open Data? What programming language is used for this project? The project is developed in Go. Is there a license for this project? Yes, it is licensed under the Apache-2.0 license. How can I install the MCP server? You can install it using Go with the command: go install github.com/dstotijn/mcp-cbs-cijfers-open-data@latest.
As an MCP (Model Context Protocol) server, mcp-cbs-cijfers-open-data 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 mcp-cbs-cijfers-open-data
To use the MCP server, install the program using Go, configure it to run as an MCP server, and utilize the provided tools to list datasets, retrieve metadata, and query statistical data. Key features of MCP CBS Cijfers Open Data? Implements a Model Context Protocol (MCP) server. Tools for listing available datasets, retrieving dataset metadata, and querying statistical data. Use cases of MCP CBS Cijfers Open Data? Accessing and analyzing public statistical data from CBS. Integrating CBS data into AI applications for enhanced data insights. Facilitating research and data analysis in various fields such as economics and social sciences. FAQ from MCP CBS Cijfers Open Data? What programming language is used for this project? The project is developed in Go. Is there a license for this project? Yes, it is licensed under the Apache-2.0 license. How can I install the MCP server? You can install it using Go with the command: go install github.com/dstotijn/mcp-cbs-cijfers-open-data@latest.
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 mcp-cbs-cijfers-open-data 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 mcp-cbs-cijfers-open-data 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.