Codeinterpreter (verified)
CodeInterpreter extends Python-based coding environments with integrated data analysis, enabling developers to run scripts, visualize results, and prototype solutions inside supported platforms
Quick Start
# Connect this server (installs CLI if needed)
npx -y smithery mcp add codeinterpreter
# Browse available tools
npx -y smithery tool list codeinterpreter
# Get full schema for a tool
npx -y smithery tool get codeinterpreter CODEINTERPRETER_CREATE_SANDBOX
# Call a tool
npx -y smithery tool call codeinterpreter CODEINTERPRETER_CREATE_SANDBOX '{}'Direct MCP Connection
Endpoint: https://codeinterpreter.run.tools
Tools (5)
CODEINTERPRETER_CREATE_SANDBOX— Create a sandbox to execute python code in a Jupyter notebook cell. This is useful for agents to communicate, execute c…CODEINTERPRETER_EXECUTE_CODE— Execute python code in a sandbox and return any result, stdout, stderr, and error. Use /home/user folder to write/read …CODEINTERPRETER_GET_FILE_CMD— Get a file from the sandbox and returns the file. The files should be read from /home/user folder.CODEINTERPRETER_RUN_TERMINAL_CMD— Run a command in the terminal and returns the stdout, stderr, and error code. Use /home/user folder to write/read files.CODEINTERPRETER_UPLOAD_FILE_CMD— Upload a file to the sandbox environment. The files should be uploaded to the /home/user folder.
# Get full input/output schema for a tool
npx -y smithery tool get codeinterpreter