Enables LLM agents to perform Bayesian Maximum Entropy geostatistical analysis through natural language rather than code, supporting spatial, network, and physics-informed uncertainty modeling.
Not monetized yet
Turn pybme-mcp’s tool calls into revenue: one disclosed sponsored slot, 70% revenue share, fail-open by design.
Install pybme-mcp
For anyone using pybme-mcp — no Lulu account needed# stdio server — install per the repository README: https://github.com/wiesnerfriedman/pybme-mcp
Real-time weather for any city, built on the lulu-ads widget gallery. First-party, free forever.
View server →FAQ
pybme-mcp installs from source — follow the repository README.
Unrated out of 100, computed from cross-registry traction signals (installs, stars, registry presence) — never influenced by sponsorship.
Similar servers
Works well together
Your server?
This is for the person who owns pybme-mcp — adds Lulu Ads to your own code. Not the install steps above, those are for your users.
Copies a ready prompt: your coding agent installs the lulu-ads SDK, wires the slot, and applies the widget design guide.
or set up manually at getlulu.dev/publishers
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Managed hosting with monetization built in — waitlist.
[](https://getlulu.dev/mcps/pybme-mcp)