Get a production-ready Model Context Protocol (MCP) server built on top of your existing API — so your product becomes accessible to Claude, ChatGPT, Cursor, and any other MCP-compatible client.

Companies with an established API who want to expose their product to AI agents — either internally for their team's own workflows, or externally for their users via cloud connectors and MCP marketplaces.

API design consultation: I'll review your current API surface and recommend which endpoints to expose as MCP tools, how to shape tool descriptions for reliable LLM invocation, and which workflows to model as multi-phase prepare/confirm patterns.

OAuth and authentication setup: full OAuth 2.1 flow wired into the MCP server, including token refresh and per-user scoping.

Production-ready MCP server: deployable to your infrastructure, with proper error handling, logging, and tool schemas tuned for LLM-friendly invocation.

Tool design and testing: each tool exercised end-to-end against real LLM clients to catch invocation issues before launch.

I don't ship the MCP server inside your product's codebase or handle deployment to your cloud — that's a separate engagement. This service delivers a standalone, working MCP server you can host yourself or hand to your platform team to roll out.

I work at Contra, an official Anthropic MCP partner, and I built and shipped Contra's own MCP integration end-to-end across freelancer search, messaging, invoicing, payments, and more. I've debugged the rough edges most teams haven't run into yet — multi-phase tool workflows, OAuth headless flows, image rendering constraints, GraphQL whitelisting under live load.