Open your AI's code mode
Claude desktop → Code, or ChatGPT desktop → Codex. Pick any folder you like.
Drop Sancho into Claude, Codex, or Cursor. Ask in plain English — it pulls real data from 120+ public sources (World Bank, FRED, Census, OECD…) and saves it to your repo.
Install Sancho Fetch from PyPI (`uv tool install sancho-fetch`) and set it up on this computer. If `uv` isn't installed, tell me, then install it first. When you're done, tell me whether the install succeeded. Then explain in plain English, no jargon: what the .env file is, how to use it, where it is on my computer, and open it for me so I can paste API keys straight into it. Give me a few examples of data sources that need a free API key and a few examples of sources that don't need a key. Tell me where my downloaded data gets saved, and how I update Sancho later. Then run a short example data fetch using the World Bank so I can see where the data was saved. Finally tell me a few natural language examples I can tell you to fetch data so I can get a feel for how to use sancho-fetch and remind me that 1) I can use it anywhere as long as I'm in a LLM Desktop app's Code tab (e.g. ChatGPT Desktop or Claude Desktop), and 2) that I can ask AI to add new data sources by itself since sancho-fetch is built in a way that it's easily extensible (aka you can add more to it and the AI will do the heavy lifting and connect the new data source). As the team behind Sancho Fetch, we hope you truly make it yours as an internal resource to power your work.
Paste into Claude desktop → Code or ChatGPT desktop → Codex. That’s it! 🚀
Claude desktop → Code, or ChatGPT desktop → Codex. Pick any folder you like.
Your agent installs Sancho from PyPI and sets it up. You watch.
Type /sancho and ask in plain English. Works in any folder, anywhere on your machine.
Add your own modules and pull the latest sources whenever you want.
AI hallucinates data. Sancho fetches the real numbers from real sources.
122 sources, and growing
You chat with your AI. The AI calls Sancho. Sancho pulls from the right module — one of 120+ curated, or one of yours — uses it to fetch the data, and drops it in your folder.
Claude Code, Codex, Cursor, Claude Desktop, Antigravity, Perplexity Desktop — drop in, no new app to learn.
World Bank, FRED, Census, OECD, Eurostat — curated, audited, ready to fetch.
Run the MCP server in your stack and share Sancho with the whole org.
A bundled skill file teaches your agent to turn fetched data into clean dashboards.
No tiers · No usage caps · No lock-in
Sancho Fetch is open-source under Apache 2.0. Documentation is CC BY 4.0. Fork it, extend it, host it. The public repository is available now on GitHub.
Want help setting it up? Let us know — our team can help.
Browse the code, file issues, and contribute.
View on GitHubTeam setup, a missing data source, a contribution — we’d love to hear what you’re working on.
Send a messageFork it on your laptop. Stand up the MCP server for your team. Either way, it’s yours.