An MCP server that enables AI agents to execute sandboxed JavaScript and TypeScript code instead of calling individual tools directly. It significantly reduces token usage by allowing agents to filter, aggregate, and transform data locally before returning results.
Enables LLMs to interact with MCP servers by writing TypeScript/JavaScript code instead of direct tool calls. Provides a code execution sandbox that accesses MCP servers through HTTP proxy endpoints.
Enables websites to expose JavaScript functions as MCP tools, allowing AI agents to interact with the browser environment via a protocol and Chrome extension.
Enables building safe, programmable Code Mode MCP servers from upstream tool sources, with model-authored TypeScript running in a sandbox and tool calls routed to trusted host-side providers.