# hypothesis-tracker-mcp

> hypothesis-tracker-mcp — mordiaky-hypothesis-tracker-mcp. Use this tool when you need to track and update hypotheses with Bayesian confidence, particularly in collaborative environments with version control through git. It solves problems of persistent hypothesis management and uncertainty quantification, providing outputs of updated confidence levels based on input data and model updates. Ideal for use cases requiring iterative refinement of hypotheses, such as scientific research or data-driven decision making.

Canonical page: https://skillsregistry.net/skills/mordiaky-hypothesis-tracker-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mordiaky-hypothesis-tracker-mcp

## Description

MCP server for persistent hypothesis tracking with Bayesian confidence updates

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/mordiaky/hypothesis-tracker-mcp)

## 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": "mordiaky-hypothesis-tracker-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mordiaky-hypothesis-tracker-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mordiaky-hypothesis-tracker-mcp/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