AI Code Runner Sandbox
Pricing
Pay per event
Execute short JavaScript or Python snippets in a fresh bounded container process. Get structured status, stdout, stderr, parsed JSON, timing, and generated-file references for AI agents and automations.
Pricing
Pay per event
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0.0
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Developer
Stas Persiianenko
Maintained by CommunityActor stats
0
Bookmarked
25
Total users
20
Monthly active users
11 days ago
Last modified
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You can access the AI Code Runner Sandbox programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automation-lab/ai-code-runner-sandbox", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } }}Get a ready-to-use configuration for your MCP client with the AI Code Runner Sandbox — JavaScript & Python Executor Actor preconfigured at mcp.apify.com?tools=automation-lab/ai-code-runner-sandbox .
You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.
If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.