# Secure Clinical LLM Access via MCP

> Secure Clinical LLM Access via MCP — eyasu11321238a-secure-clinical-llm-mcp. Use this tool when you need to securely access and query synthetic clinical data for large language models (LLMs) while maintaining compliance and control. It solves problems related to data privacy and security by providing validated and scoped tools for querying patient information. The tool takes in LLM queries and returns relevant clinical data through a controlled interface, generating audit logs to track access and usage.

Canonical page: https://skillsregistry.net/skills/eyasu11321238a-secure-clinical-llm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/eyasu11321238a-secure-clinical-llm-mcp

## Description

An MCP server that enables LLMs to securely query synthetic clinical data through validated, scoped tools (patient summaries, conditions, medications, lab trends, encounters) while maintaining audit logs and access controls.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p47bx9d5av)
- **Repository:** <https://github.com/eyasu11321238a/secure-clinical-llm-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": "eyasu11321238a-secure-clinical-llm-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eyasu11321238a-secure-clinical-llm-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eyasu11321238a-secure-clinical-llm-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