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Bayesian MCP

Bayesian MCP

Public
wrenchchatrepo/bayes-msp

A Model Calling Protocol server that enables LLMs to perform rigorous Bayesian analysis and probabilistic reasoning, including inference, model comparison, and predictive modeling with uncertainty quantification.

Verified
python
0 tools
May 29, 2025
Updated May 30, 2025
Configuration Requirements
none
Configure authentication and required variables to access this MCP server
Required Environment Variables
LOG_LEVEL
Optional
string

Logging level (debug, info, warning, error, critical)

Default: info
PORT
Optional
string

Port to run the server on

Default: 8000
HOST
Optional
string

Host address to run the server on

Default: 127.0.0.1

Security Notice

Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.

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