# Bayesian MCP

> Use this tool when you need to perform rigorous Bayesian analysis and probabilistic reasoning, enabling large language models (LLMs) to conduct inference, model comparison, and predictive modeling with uncertainty quantification, solving problems that require robust and reliable decision-making under uncertainty. It accepts model specifications and data as inputs and produces probabilistic outputs, such as posterior distributions and predictive probabilities. This tool is ideal for use cases that involve complex decision-making, risk analysis, and uncertainty modeling.

Canonical page: https://skillsregistry.net/skills/wrenchchatrepo-bayes-msp  
JSON: https://api.skillsregistry.net/v1/skills/wrenchchatrepo-bayes-msp

## Description

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.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/om8g7ez16q)
- **Repository:** <https://github.com/wrenchchatrepo/bayes-msp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "wrenchchatrepo-bayes-msp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wrenchchatrepo-bayes-msp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wrenchchatrepo-bayes-msp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
