OpenDataMCP is an innovative MCP solution designed to seamlessly connect Large Language Models (LLMs) with open data sources. It empowers developers to build AI applications that leverage real-time, publicly available datasets, enhancing the accuracy and relevance of LLM responses.

This solution provides a CLI tool for easy setup of MCP servers, enabling quick access to numerous public datasets directly within LLM applications like Claude. Developers can also contribute by publishing their own open data through provided templates, expanding the ecosystem and making data easily discoverable. OpenDataMCP utilizes standard input/output for data transmission, ensuring compatibility and ease of integration. By simplifying the process of accessing and utilizing open data, OpenDataMCP unlocks new possibilities for AI-driven insights and applications, fostering community collaboration and knowledge sharing. It streamlines the integration of open data, saving developers time and resources while enriching AI model capabilities.

Open Data Access via MCP

OpenDataMCP simplifies the process of connecting Large Language Models (LLMs) to open datasets. It provides a standardized interface, adhering to the Model Context Protocol (MCP), allowing LLMs to access and utilize publicly available data sources. This eliminates the need for developers to build custom integrations for each dataset, streamlining the development workflow. By using OpenDataMCP, developers can quickly integrate open data into their LLM applications, enhancing the model's knowledge base and enabling it to provide more informed and contextually relevant responses. For example, an LLM could use OpenDataMCP to access real-time weather data from a public API and provide users with up-to-date weather forecasts. The CLI tool automates the setup of MCP servers, making integration seamless.

Simplified Data Publishing for LLMs

OpenDataMCP offers a streamlined process for publishing open datasets for use with LLMs. It provides templates and guidelines that simplify the contribution process, allowing data providers to easily make their data accessible to a wider audience. This lowers the barrier to entry for data sharing and promotes the creation of a rich ecosystem of open data sources for LLMs. By contributing to OpenDataMCP, data providers can ensure their data is easily discoverable and usable by LLM applications, increasing its impact and value. For instance, a local government could publish its open data on traffic patterns through OpenDataMCP, enabling LLMs to provide real-time traffic updates to citizens. The use of Pydantic models ensures data validation and type safety.

CLI Tool for Easy Setup

OpenDataMCP provides a command-line interface (CLI) tool that simplifies the setup and management of MCP servers. With just a few commands, developers can configure their LLM applications to access open data sources. This eliminates the need for manual configuration and reduces the complexity of integrating open data into LLM workflows. The CLI tool supports various operations, including listing available data providers, retrieving information about a specific provider, and setting up or removing an MCP server for a provider. For example, a developer can use the CLI tool to quickly set up access to the Switzerland SBB train network disruption data, allowing their LLM to answer questions about train delays. The CLI tool is built using uv package manager, ensuring cross-platform compatibility.