43
grade D
7 days ago
glama
pybme-mcp
Enables LLM agents to perform Bayesian Maximum Entropy geostatistical analysis through natural language rather than code, supporting spatial, network, and physics-informed uncertainty modeling.
Install from
M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.
// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 1 concrete improvement we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[](https://m8ven.ai/mcp/wiesnerfriedman-pybme-mcp-19vrt7)commit: d0ec5dab5b22a6ad87de322c0187fa923b819b6b
code hash: b39c7169d307e98200f6542d6f2f2ea97da7a32cc37a8e132480f29c5e87b381
verified: 4/18/2026, 6:16:29 PM