PyTorch Lightning MCP Server
by prat24
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| lightning.trainC | Train a PyTorch Lightning model with explicit configuration. |
| lightning.inspectC | Inspect models or runtime environment. |
| lightning.validateC | Validate a PyTorch Lightning model. |
| lightning.testC | Test a PyTorch Lightning model. |
| lightning.predictB | Run prediction/inference with a PyTorch Lightning model. |
| lightning.checkpointB | Manage model checkpoints: save, load, or list. |
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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