nowfound

AI · December 1, 2024

CA

Connect any Open Data to Claude (and soon, any other LLMs)

Problem: LLMs need context data to give accurate answers and thousands of great publicly available datasets remain vastly unexploited. Anthropic’s MCP servers are awesome, but we need many more servers and an easy way to discover them. What if it took only one command to connect any LLM to any open dataset? Open Data MCP, a 2-in-1 solution: 1. Access Open Data: - 10 seconds setup to query any integrated Open Data MCP server from Claude (and more to come) - Simple CLI tool 2. Access Open Data: - Create your own Open Data MCP server(s) - Get templates, guides, and community - Get instant…

What it does

In the maker’s words, at launch

Problem: LLMs need context data to give accurate answers and thousands of great publicly available datasets remain vastly unexploited. Anthropic’s MCP servers are awesome, but we need many more servers and an easy way to discover them. What if it took only one command to connect any LLM to any open dataset? Open Data MCP, a 2-in-1 solution: 1. Access Open Data: - 10 seconds setup to query any integrated Open Data MCP server from Claude (and more to come) - Simple CLI tool 2. Access Open Data: - Create your own Open Data MCP server(s) - Get templates, guides, and community - Get instant distribution — your data becomes discoverable by all users via our CLI What’s next? A) Build many Open Data MCP servers to make all the Open Data truly accessible B) Make Open Data available to all LLM applications (beyond Claude) The bottleneck is A)! Call to all Hackers! We need the community’s help to build MCP servers for the millions of public datasets out there, e.g., from governments, public entities, companies, and NGOs! What Open Data would you expose? How about building your own Open Data MCP server? Go go go! PS: This is fully open source, MIT License (we don’t hide any training code or datasets :P). Repo incl. video: https://github.com/OpenDataMCP/OpenDataMCP Discord: https://discord.gg/QPFFZWKW

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