Bayesian MCPServer

wrenchchatrepo
GitHub
Bayesian InferenceData AnalysisMachine Learning

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💡 Description

A Model Context Protocol (MCP) server for Bayesian reasoning, inference, and belief updating. This tool enables LLMs to perform rigorous Bayesian analysis and probabilistic reasoning.

📝 JSON Entries

{
  "mcpServers": [
    {
      "Bayesian MCP": {
        "env": {},
        "args": [],
        "command": "python bayesian_mcp.py"
      }
    }
  ]
}

🛠️ Tools

FastAPINumPy

Features

  • Bayesian inference
  • Model comparison
  • Predictive inference
  • Visualization of distributions
  • Integration with any LLM supporting MCP

💬 Example Queries

  • Create a new Bayesian model with specific variables
  • Update the beliefs of a model with new evidence
  • Generate predictions using the posterior distribution
  • Compare multiple models using information criteria
  • Create visualizations of posterior distributions