# ucon-mcp

> ucon-mcp — the-radiativity-company-ucon-tools. Use this tool when you need to perform accurate unit conversions and dimensional analysis across various domains, including clinical, physics, and aerospace. It solves problems related to inconsistent units and invalid conversions, providing reliable outputs with uncertainty propagation. With support for 190+ units and 31 domain formulas, ucon-mcp is ideal for AI agents requiring precise calculations and data consistency.

Canonical page: https://skillsregistry.net/skills/the-radiativity-company-ucon-tools  
JSON: https://api.skillsregistry.net/v1/skills/the-radiativity-company-ucon-tools

## Description

Verified unit conversion and dimensional analysis for AI agents. 190+ units, 31 domain formulas (clinical, physics, aerospace, SRE), physical constants with uncertainty propagation. Refuses invalid conversions structurally: the tool that won't convert mg to mL and knows the difference between torque and energy.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c17df5e5b8)
- **Repository:** <https://github.com/the-radiativity-company/ucon-tools>

## 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": "the-radiativity-company-ucon-tools"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/the-radiativity-company-ucon-tools` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/the-radiativity-company-ucon-tools/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