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Write and run JavaScript in sandboxes for API discovery, calls, and debugging.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "e2b-code-mode" yet — see the docs or source repo.
Use search to find available endpoints and auth methods for a weather service API, then use execute_read to write a JavaScript function that tests fetching today's weather for Beijing without writing any files.
Returns the API endpoints, authentication notes, and a runnable test function with results.
Use execute_write to create a JavaScript function that calls a sample payment API to create a test order; if errors occur, keep debugging and output the final runnable version with an explanation of the error.
Produces a fixed script, a summary of the debugging process, and the final execution result.
In the sandbox, write a JavaScript function that reads a given JSON array and counts items by category, then use execute_read to run test cases and check edge cases.
Outputs the function code, test results, and conclusions for edge-case validation.
Connect AI agents to E2b tools and services through a standardized MCP interface.
Execute code and search docs securely across sandboxed environments for development workflows.
Search docs and run code safely across multiple sandbox environments.
Evaluate code in a sandbox with automated execution and LLM-based quality scoring.
Give AI coding agents persistent cross-session memory that survives context resets.
Safely run Python code with AI and MCP tool integration.