litestar-mcp

You can expose Litestar routes as Model Context Protocol tools by using opt-in route marking decorators, eliminating the need for custom wrapper boilerplate. This allows AI clients to directly access selected route handlers as MCP tools, resources, or prompts.

Litestar MCP integrations support serving primitives over Streamable HTTP, stdio, or SSE transports. This multi-transport compatibility ensures your exposed routes can connect with all major AI coding agents and IDEs.

Yes, you can secure your Model Context Protocol server using built-in OIDC authentication support in Litestar. This production-ready guardrail also includes pagination, route filtering, and tool call observability callbacks to protect and scale deployments.

You can prevent internal metrics routes from being exposed to AI clients by using opt-in route marking. Only route handlers explicitly marked with decorator arguments are exposed as MCP primitives, keeping internal routes hidden from MCP clients.

No, Litestar eliminates manual boilerplate for AI agent integration via MCP. The framework handles route exposure, transport handling, and authentication natively, preventing the error-prone custom code usually required to duplicate existing functionality.

The best way to integrate an e-commerce API with AI shopping assistants is by exposing product listings as MCP resources and add-to-cart actions as tools via Streamable HTTP. This allows AI clients to interact with your store directly while keeping internal routes hidden.