How do AI agents interact with Floyd?

AI agents interact via the Model Context Protocol (MCP), utilizing specific tools to check availability, hold, confirm, cancel, and retrieve booking details.

What booking lifecycle stages does Floyd support?

Floyd manages the complete booking lifecycle, including retrieving available slots, placing temporary holds, confirming bookings (with explicit user consent), and canceling existing reservations.

How are interactions with Floyd secured?

Secure interactions are ensured through API key authentication, where agents provide their API key via an `Authorization` header or query parameter.

Floyd

Name: Floyd
Author: floyd-run

byfloyd-run

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Developer Tools

API Development

Productivity & Workflow

Exposes Floyd's comprehensive scheduling and booking functionalities to AI agents via the Model Context Protocol.

The Floyd MCP Server acts as a crucial bridge, enabling AI agents to seamlessly interact with advanced scheduling and booking capabilities. Built on the Model Context Protocol's Streamable HTTP transport, it provides a robust API for managing the entire appointment lifecycle. AI agents can leverage this server to autonomously check available times, temporarily hold time slots, confirm bookings with explicit user consent, and efficiently manage cancellations, thereby streamlining complex scheduling and booking tasks within AI-driven applications.

Key Features

01Exposes robust scheduling and booking tools to AI agents

02Supports Model Context Protocol (MCP) Streamable HTTP and Stdio transport

03Manages full booking lifecycle: check availability, hold, confirm, and cancel slots

04Handles agent authentication via API keys for secure interactions

05Provides specific tools for retrieving booking details

061 GitHub stars

Use Cases

01Enabling AI assistants to autonomously book and manage appointments for users

02Automating resource scheduling and reservation processes within AI-driven applications

03Integrating dynamic booking capabilities into custom AI agent workflows