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Explorer/MCP/smithery/codeinterpreter

Codeinterpreter

REMOTE
smithery/codeinterpreter

CodeInterpreter extends Python-based coding environments with integrated data analysis, enabling developers to run scripts, visualize results, and prototype solutions inside supported platforms

○ Remote (HTTP) Server
This server runs on the internet and communicates over HTTP. It does not have direct access to your local filesystem or environment variables.
Tools
5
Indexed
150d ago
Transport
Remote / HTTP
Liveness
● Live
Uptime
100%based on 24 checks
Avg response
248ms
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Security Scan
Security scan pending — this server has not yet been analyzed.
Risk Surface
Risk surface analysis pending — tool annotation scanning is coming soon.
Publisher Verification
Not yet verified by the Official MCP Registry.
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 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.
CODEINTERPRETER_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.
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.
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