# io.github.dfieser/thermocouple-its90

> io.github.dfieser/thermocouple-its90 — dfieser-thermocouple-its90. Use this tool when you need to convert temperature and electromotive force (emf) values for thermocouples, as it provides accurate conversions for all eight thermocouple types with cold-junction compensation, solving temperature measurement problems in various industrial and scientific applications. It takes temperature or emf values as input and outputs the corresponding converted values. Ideal for use in contexts where precise temperature measurements are crucial, such as in engineering, research, or manufacturing settings.

Canonical page: https://skillsregistry.net/skills/dfieser-thermocouple-its90  
JSON: https://api.skillsregistry.net/v1/skills/dfieser-thermocouple-its90

## Description

MCP server for NIST ITS-90 thermocouple conversions, providing tools to convert between temperature and emf for all eight thermocouple types with cold-junction compensation.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gg2cp27sdo)
- **Repository:** <https://github.com/dfieser/thermocouple-its90>

## 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": "dfieser-thermocouple-its90"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dfieser-thermocouple-its90` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dfieser-thermocouple-its90/pull`

---
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
