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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MCP-Builder.ai11d ago · mcp-builder.ai · ▲174The fastest way to connect your data with your AI Tools.

- GSGuardiAgent – Sandboxing / permission model for MCP serversNov 2025 · guardiagent.com · ▲9
Anthropic's Model Context Protocol (MCP) has made it easy to spin up servers that expose tools and data to LLMs. A lot of these MCP servers run locally because they need access to your files, shell, browser, etc. The problem: they typically run with the same privileges as your user. If a server is buggy, misconfigured, or prompt-injected, it can do anything you can do: read SSH keys, exfiltrate dotfiles, poke around in private repos, etc. Our research group is working on this by adding a security manifest (inspired by the Android app manifest) plus a local policy enforcement engine that…
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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