CRC-LNM Medical Agent
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| UV_TORCH_BACKEND | No | Set to 'cpu' for CPU PyTorch packages instead of CUDA runtime packages in hosted Linux deployments. | |
| CRC_LNM_MCP_RUNTIME_ROOT | No | Optional. Specifies a writable cache location. Defaults to a system cache directory. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| crc_lnm_get_model_infoB | Return integrity-checked model dimensions, version, hashes and threshold. |
| crc_lnm_case_data_qcB | Validate deidentified case integrity, privacy and required modalities. |
| crc_lnm_prepare_ct_featuresB | Validate and retain approved precomputed 1409-dimensional CT features. |
| crc_lnm_prepare_pathology_featuresC | Validate and retain approved 768-dimensional pathology features. |
| crc_lnm_predict_multimodalC | Run the locked five-member multimodal ensemble after compatibility gates. |
| crc_lnm_generate_reportC | Generate a deterministic escaped research-assistance report. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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