{"id":"yukkit-e2b-mcp-server","name":"yukkit-e2b-mcp-server","af_score":64.2,"security_score":57.5,"reliability_score":30.0,"what_it_does":"Provides MCP (Model Context Protocol) server tools that let AI clients run code and manage files inside E2B sandboxes. Includes separate JavaScript/TypeScript and Python implementations, offering sandbox lifecycle management, code/command execution, filesystem operations, and optional exposure of sandbox services via public URLs.","best_when":"You want an MCP-compatible toolset for integrating an AI assistant (e.g., Claude Desktop/Cline) with isolated E2B execution and filesystem capabilities, with client-side configuration via MCP server command/args/env.","avoid_when":"You need strong guarantees about preventing untrusted code from exfiltrating data beyond the intended sandbox boundaries, or you cannot provide/secure the required E2B API key and apply operational limits.","last_evaluated":"2026-04-04T21:37:13.937488+00:00","has_mcp":true,"has_api":false,"auth_methods":["E2B_API_KEY via environment variable"],"has_free_tier":false,"known_gotchas":["The README does not specify rate limits, retry semantics, or idempotency guarantees for tools like run_command/run_code/write_file; agents should implement their own conservative retry/idempotency handling.","Running arbitrary code/commands can have side effects within the sandbox; agents should explicitly manage sandbox lifecycle (create/kill) to avoid resource leakage.","Two implementations exist (JS and Python); ensure you target the correct client/tooling configuration expected by your MCP host."],"error_quality":0.0}