Housekeep MCP Server

Housekeep MCP – Serverless AI Integration for Trades Services

The Housekeep MCP server solves the problem of bridging conversational AI assistants with a real‑world trades booking platform in a lightweight, serverless way. By exposing the core Housekeep API endpoints through MCP tools, developers can let Claude or other AI clients ask for service summaries, obtain instant quotes, and even initiate booking attempts—all without writing custom API wrappers or managing authentication flows.

At its core, the server offers three intuitive tools:

• – delivers a concise overview of the trades categories (plumbing, gardening, handyman) that Housekeep supports.
• – forwards a user’s request to the Housekeep endpoint, returning an immediate price estimate for a specified job.
• – calls the Housekeep booking API to create a provisional reservation, currently limited to plumber, gardener, or handyman services.

These tools are wrapped in a Netlify Functions deployment, so the MCP server runs entirely on the edge with zero server maintenance. This architecture is ideal for developers building AI‑powered assistants that need to interact with external services in real time, as it removes the boilerplate of hosting and scaling a traditional API backend.

Key Features & Advantages

• Serverless, zero‑ops deployment via Netlify Functions—automatic scaling and CDN distribution.
• Direct integration with Claude Desktop (and any MCP‑compatible client) through a simple configuration snippet.
• Real‑time data access: quotes and booking attempts are fetched instantly, enabling dynamic dialogue flows such as “Show me a plumber quote for 3 hours” or “Book a gardener next week.”
• Extensible tool set: developers can add more tools by extending the Netlify function, keeping the MCP contract consistent.

Use Cases

• Conversational Booking Assistants: Chatbots that let users schedule trades work directly within a messaging app or voice interface.
• Customer Support Automation: Agents can pull up service summaries and pricing on demand, reducing response times.
• Prototyping and Testing: Rapidly spin up a fully functional AI‑driven front end for the Housekeep platform without backend overhead.

By exposing essential Housekeep operations as MCP tools, this server lets AI assistants interact with a real booking system seamlessly, turning abstract requests into actionable backend calls while keeping the developer experience simple and scalable.