# MEVA Health AI MCP Server

> MEVA Health AI MCP Server — tanz2024-meva-health-ai. Use this tool when you need to verify medical-record claims against synthetic evidence without compromising patient data. It solves problems related to claim validation, evidence retrieval, and benchmark evaluation in healthcare, providing a deterministic and non-AI verification process. The MEVA Health AI MCP Server takes in synthetic FHIR evidence and medical-record claims as inputs and outputs verified claims, making it ideal for use cases requiring secure and reliable healthcare data validation.

Canonical page: https://skillsregistry.net/skills/tanz2024-meva-health-ai  
JSON: https://api.skillsregistry.net/v1/skills/tanz2024-meva-health-ai

## Description

Enables AI agents to verify medical-record claims against synthetic FHIR evidence using a deterministic, non-AI verifier. Provides MCP tools for evidence retrieval, claim verification, and benchmark evaluation without requiring real patient data.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/urta1uuddh)
- **Repository:** <https://github.com/Tanz2024/meva-health-ai>

## 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": "tanz2024-meva-health-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tanz2024-meva-health-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tanz2024-meva-health-ai/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