# io.github.SidneyBissoli/medical-terminologies-mcp

> Use this tool when you need to standardize and unify access to global medical terminologies, solving integration and consistency problems in healthcare data management. It provides a single interface to multiple terminologies, including ICD-11, SNOMED CT, LOINC, RxNorm, and MeSH, accepting various input formats and outputting standardized codes and descriptions. Ideal for healthcare applications, research, and data analysis requiring accurate and consistent medical terminology management.

Canonical page: https://skillsregistry.net/skills/io-github-sidneybissoli-medical-terminologies-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-sidneybissoli-medical-terminologies-mcp

## Description

Unified access to global medical terminologies: ICD-11, SNOMED CT, LOINC, RxNorm, MeSH

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.SidneyBissoli%2Fmedical-terminologies-mcp)
- **Repository:** <https://github.com/SidneyBissoli/medical-terminologies-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": "io-github-sidneybissoli-medical-terminologies-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-sidneybissoli-medical-terminologies-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-sidneybissoli-medical-terminologies-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