DicomToolsForMCP
基于 MCP (Model Context Protocol) 的 DICOM 医学影像文件分析工具。
安装
pip install dicomtoolsformcp
MCP Server 配置
在 MCP 客户端配置文件中添加以下配置：
{
"mcpServers": {
"dicom-tools-python": {
"command": "uvx",
"args": [
"dicomtoolsformcp"
],
"env": {
"base_url": "https://your-server.com",
"name": "your_username",
"password": "your_password",
"tel": "your_phone"
}
}
}
}
环境变量说明：
base_url: 服务器基础URL（必需）name: 用户名（可选，用于自动登录）password: 密码（可选，用于自动登录）tel: 手机号（可选，用于自动登录）
工具说明
1. scan-dicom-directory
扫描指定目录下所有可读的 .dcm 文件，汇总患者数、序列数、文件数和总字节数，返回 JSON 文本。
参数：
directory_path(string): 待扫描的本地目录路径，绝对路径，必须存在且可读
2. parse-dicom-file
解析单个 DICOM 文件，提取 PatientID、PatientName、SeriesInstanceUID、SeriesDescription 等元数据，返回结构化 JSON。
参数：
file_path(string): 待解析的本地 DICOM 文件路径，需指向实际存在的 .dcm 文件
3. analyze-dicom-directory
扫描目录中的 DICOM 序列，按 series_type 选择分析流程并上传到预配置的远端分析服务，返回上传结果及访问 URL。
参数：
directory_path(string): 包含待分析 DICOM 序列的本地目录路径，必须存在且具备读取权限series_type(string): 分析流程类型，1=主动脉分析，9=二尖瓣分析
4. separate-dicom-files
按患者和序列拆分目录下的 DICOM 文件，生成新的子目录结构，并以 JSON 返回整理后的统计结果。
参数：
directory_path(string): 待整理的顶层目录路径，执行过程中会在同级创建输出目录
5. get-analysis-result
根据 study_uid 查询分析结果，如果没有分析结果，需要进行 analyze-dicom-directory 工具上传分析，返回测量结果的 URL。
参数：
study_uid(string): DICOM序列的 study_uid，用于查询分析结果
6. export-measurement-csv
导出账号下指定 StudyInstanceUID 数组的测量数值 CSV 文件，返回下载 URL。
参数：
studyInstanceUids(array): StudyInstanceUID 数组，用于导出对应的测量数值 CSV 文件
1 maintainer
Metadata
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Release files for dicomtoolsformcp 1.5.0
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