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DaneshSelwal

colab-mcp

by DaneshSelwal
OverviewSchemaRelated ServersScoreDiscussions
Python
Local

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

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

CapabilityDetails
tasks
{
  "list": {},
  "cancel": {},
  "requests": {
    "tools": {
      "call": {}
    },
    "prompts": {
      "get": {}
    },
    "resources": {
      "read": {}
    }
  }
}
tools
{
  "listChanged": true
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
open_colab_browser_connectionA

Checks whether a Google Colab proxy session is already connected. Returns a boolean representing whether the headless proxy connection is available.

connect_colabD–
list_colab_cellsD–
read_colab_cellD–
write_colab_cellD–
run_colab_cellD–
run_colab_codeD–
get_colab_outputD–
save_colab_notebookD–
run_runtime_codeD–
setup_ml_workspaceD–
fetch_remote_datasetD–
execute_ml_pipelineD–

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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