Schema | ipython-kernel-mcp

ipython-kernel-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
`IPYTHON_MCP_CONNECTION`	No	Path to the Jupyter connection file for a running IPython kernel. The server connects to this existing kernel; the path is resolved from this environment variable unless overridden by the connect_to_kernel tool.

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.

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`	{}

Functions exposed to the LLM to take actions

Name	Description
connect_to_kernelA	Connect to an existing IPython kernel using its connection file. Args: connection_file: Path to the kernel connection JSON file. If not provided, uses the IPYTHON_MCP_CONNECTION environment variable. Returns: Connection status message.
execute_codeA	Execute Python code on the connected IPython kernel. Variables persist between calls. Output (stdout, results, errors) is collected and returned as a single string when execution completes. Args: code: Python code to execute. Returns: Execution output (stdout, expression results, or error messages).
kernel_statusA	Check the current kernel connection status. Returns: Status message indicating whether a kernel is connected.
interrupt_kernelA	Interrupt the current kernel execution by sending SIGINT. Useful for stopping long-running code or infinite loops. Returns: Interrupt status message.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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