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Bayesian MCP

Bayesian MCP

Public
wrenchchatrepo/bayes-msp

Enables advanced Bayesian reasoning, inference, belief updating, model comparison, predictive analysis with uncertainty quantification, and visualization through seamless integration with any LLM supporting the Model Context Protocol (MCP).

python
0 tools
May 29, 2025
Updated Jun 4, 2025

Supercharge Your AI with Bayesian MCP

MCP Server

Unlock the full potential of Bayesian MCP through LangDB's AI Gateway. Get enterprise-grade security, analytics, and seamless integration with zero configuration.

Unified API Access
Complete Tracing
Instant Setup
Get Started Now

Free tier available • No credit card required

Instant Setup
99.9% Uptime
10,000+Monthly Requests
Configuration Requirements
none
Configure authentication and required variables to access this MCP server
Required Environment Variables
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
LOG_LEVEL
Optional
string

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

Default: info

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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