MCP Bridge

TL;DR

A middleware layer that wraps your existing APIs into the Model Context Protocol so AI agents can actually use them without you writing endless tool-calling boilerplate.

Who is this actually for?

Backend devs and AI engineers tired of manually mapping every single internal API endpoint to LLM function definitions.

The Good

• Standardizes how agents talk to your stack using Anthropic's MCP spec.
• Saves you from the repetitive hell of writing custom schemas for every new agentic workflow.

The Catch (Potential Downsides)

It is another abstraction layer to maintain and debug when an LLM inevitably hallucinates a parameter. You are trading custom code for configuration overhead.