1203ccbad3
<!-- CURSOR_SUMMARY --> > [!NOTE] > Adds beta MCP support to JS/Python SDKs with template auto-selection, config POST, MCP URL helpers, and codegen for MCP types/schemas. > > - **SDKs (Beta MCP support)**: > - **JS SDK**: > - Add `McpServer` types and export; extend `Sandbox.betaCreate` with `mcp` option that auto-selects `mcp-gateway-v0`, configures MCP via POST `/config` on port `50005` with retries, and expose `betaGetMcpUrl()`. > - Add `wait(ms)` util; generate MCP types from `spec/mcp-server.json`; new `generate:mcp` script and dev dep `json-schema-to-typescript`. > - **Python SDK**: > - Generate and export `McpServer` (TypedDict); extend sync/async `beta_create` with `mcp` option, auto-select default MCP template, POST MCP config with retries, and add `beta_get_mcp_url()`; define `mcp_port` and `default_mcp_template`. > - Makefile: add `generate-mcp` target; include `datamodel-code-generator` in tooling; update lockfile/pyproject deps. > - **Tooling**: > - Add `spec/mcp-server.json` schema; update codegen Dockerfile to install `datamodel-code-generator`. > - > > <sup>Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit cf3f175d310d4c242cd2e867efd801f5c04f2099. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot).</sup> <!-- /CURSOR_SUMMARY --> --------- Co-authored-by: Jonas Scholz <Jonas.Scholz@bbscholz.de>
What is E2B?
E2B is an open-source infrastructure that allows you to run AI-generated code in secure isolated sandboxes in the cloud. To start and control sandboxes, use our JavaScript SDK or Python SDK.
Run your first Sandbox
1. Install SDK
pip install e2b-code-interpreter
2. Get your E2B API key
E2B_API_KEY=e2b_***
3. Execute code with code interpreter inside Sandbox
from e2b_code_interpreter import Sandbox
with Sandbox.create() as sandbox:
sandbox.run_code("x = 1")
execution = sandbox.run_code("x+=1; x")
print(execution.text) # outputs 2
4. Check docs
Visit E2B documentation.
5. E2B cookbook
Visit our Cookbook to get inspired by examples with different LLMs and AI frameworks.
