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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