# DICOM API MCP Server

> Use this tool when you need to interact with medical imaging systems and PACS, enabling AI agents to search, query, and retrieve medical imaging data. It solves problems related to accessing and processing DICOM entities, such as studying patient data and analyzing medical images. The DICOM API MCP Server takes in queries and search parameters as inputs and outputs DICOM metadata and pixel data.

Canonical page: https://skillsregistry.net/skills/aotal-dicom-api-mcp-project  
JSON: https://api.skillsregistry.net/v1/skills/aotal-dicom-api-mcp-project

## Description

Exposes DICOM operations as tools for AI agents to interact with medical imaging systems and PACS. It enables searching for studies and series, querying instance metadata, and retrieving pixel data from DICOM entities.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rr5sbsgkfm)
- **Repository:** <https://github.com/aotal/dicom_api_mcp_project>

## 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": "aotal-dicom-api-mcp-project"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aotal-dicom-api-mcp-project` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aotal-dicom-api-mcp-project/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