CRC-LNM Medical Agent
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@CRC-LNM Medical AgentAnalyze case 413 for LNM risk using CT and pathology features."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
CRC-LNM Medical Agent 1.0.14
这是面向 ModelScope 托管 STDIO 的完整懒加载纯 NumPy 单模型版本。一个 console script、一个进程内注册六个医学工具;initialize 和 tools/list 不读取模型参数或展开病例。第一次 crc_lnm_predict_multimodal 调用校验并加载唯一的 seed_2024 NumPy runtime asset,后续预测复用同一实例。默认安装不依赖 PyTorch、NVIDIA 或 CUDA 包。
更新说明 (v1.0.14)
根本性重构:所有工具参数从
UUID4/Literal/BaseModel嵌套结构改为扁平化str/int/float原生类型Nexent 兼容性修复:移除复杂 Pydantic 类型注解(
UUID4、Literal["1.1.0"]),避免 JSON Schema 中出现anyOf/pattern等复杂结构导致 Nexent 解析失败临床输入扁平化:将
clinical嵌套对象展开为clinical_age/clinical_male/clinical_type/clinical_t四个独立参数简化类型注解:所有工具参数现接受原生 Python 类型(
str/int/float),内部转UUID对象稳定的 description 字段:所有 6 个工具都有非空中文 description,符合 Nexent JSON-RPC 校验
Related MCP server: DROMA MCP Server
ModelScope 正式配置
{
"mcpServers": {
"crc-lnm-medical-agent": {
"command": "uvx",
"args": [
"crc-lnm-medical-agent@1.0.14"
]
}
}
}ModelScope 中选择托管部署和 STDIO;command 填 uvx,args 只填上面一个带版本参数。不要增加 URL、host、port、transport 参数或环境变量。
本地验收
powershell -ExecutionPolicy Bypass -File scripts/release_verify_full.ps1六工具为模型信息、病例质控、CT 特征准备、病理特征准备、单模型预测和报告生成。内置病例仅为合成演示资源;本包只用于科研辅助,不构成诊断,所有输出均需专家复核。
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