jupyter-rmcp
by tmlksu
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| COLAB_ONLY | No | Set to '1' to enable Colab-only mode, refusing local execution. | 0 |
| MCP_BEARER | Yes | Bearer token for authenticating MCP HTTP requests. | |
| MAX_KERNELS | No | Maximum number of simultaneous kernels. | |
| JUPYTER_TOKEN | Yes | Token for accessing the JupyterLab interface. | |
| EXEC_TIMEOUT_SEC | No | Optional maximum execution time. If set, kernels are interrupted after this many seconds. | |
| KAGGLE_API_TOKEN | No | Kaggle API token for access to Kaggle datasets. | |
| KERNEL_MAX_AGE_SEC | No | Maximum lifetime of a kernel. | |
| KERNEL_IDLE_TIMEOUT_SEC | No | Idle kernels are reaped after this many seconds. | 0 |
| SOFT_REPLY_DEADLINE_SEC | No | Foreground executions exceeding this many seconds return a 'still_running' status. | 45 |
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
No tools | |
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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