# Prescription Review MCP Server

> Prescription Review MCP Server — boya1999-when-laboratory-evidence-is-incomplete-who-may-approve. Use this tool when you need to review prescriptions with incomplete laboratory evidence, leveraging deterministic rules and AI-powered guardrails to ensure approval authority boundaries are enforced. It solves problems related to prescription validation and approval workflow inefficiencies, providing a secure and compliant review process. The tool accepts prescription data as input and outputs a validated review result, making it ideal for use in clinical decision support systems and healthcare workflows.

Canonical page: https://skillsregistry.net/skills/boya1999-when-laboratory-evidence-is-incomplete-who-may-approve  
JSON: https://api.skillsregistry.net/v1/skills/boya1999-when-laboratory-evidence-is-incomplete-who-may-approve

## Description

Enables MCP-integrated prescription review with incomplete laboratory evidence, using deterministic rules and language-model guardrails to enforce approval authority boundaries.

## 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/tsx9kfb6kl)
- **Repository:** <https://github.com/BOYA1999/When-Laboratory-Evidence-Is-Incomplete-Who-May-Approve>

## 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": "boya1999-when-laboratory-evidence-is-incomplete-who-may-approve"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/boya1999-when-laboratory-evidence-is-incomplete-who-may-approve` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/boya1999-when-laboratory-evidence-is-incomplete-who-may-approve/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