# sint-epistemic-mcp

> sint-epistemic-mcp — kostyk348-sint-epistemic-mcp. Use this tool when you need to track and analyze the epistemic status of claims, distinguishing between known, inferred, and assumed information with calibrated confidence. It solves problems of information uncertainty and ambiguity by providing tools to register, query, and analyze claims across various domains. Ideal for use in applications requiring robust knowledge management and decision-making under uncertainty.

Canonical page: https://skillsregistry.net/skills/kostyk348-sint-epistemic-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kostyk348-sint-epistemic-mcp

## Description

Tracks what an agent KNOWS vs INFERS vs ASSUMES with calibrated confidence. Provides tools to register, query, and analyze epistemic status of claims across domains.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oexmaxv5rb)
- **Repository:** <https://github.com/kostyk348/sint-epistemic-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": "kostyk348-sint-epistemic-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kostyk348-sint-epistemic-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kostyk348-sint-epistemic-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