Codeinterpreter AI Agent
Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Codeinterpreter MCP or direct API to run Python scripts, analyze datasets, generate plots, and prototype code—all through natural language.
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Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms.
▪ Tools & Triggers
Supported Tools and Triggers
Every Codeinterpreter action and event your agent gets out of the box.
Create Sandbox
Create a sandbox to execute python code in a Jupyter notebook cell. This is useful for agents to communicate, execute code, see output, read files, write files, etc. It's like you own personal computer, but in the cloud. Use /home/user folder to write/read files.
Execute Code
Execute python code in a sandbox and return any result, stdout, stderr, and error. Use /home/user folder to write/read files. Try to not use plt.show() as the code is executed remotely. Use files for image/chart output instead.
Get File
Get a file from the sandbox and returns the file. The files should be read from /home/user folder.
Run Terminal Command
Run a command in the terminal and returns the stdout, stderr, and error code. Use /home/user folder to write/read files.
Upload File
Upload a file to the sandbox environment. The files should be uploaded to the /home/user folder.
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Put Codeinterpreter on autopilot
Connect Codeinterpreter to your TeleClaw agent and run these 5 tools straight from Telegram.
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