Schedly
Model Context Protocol

The Schedly MCP Server

Give Claude, Cursor, and every MCP-compatible AI assistant the power to check your calendar, create bookings, and manage appointments — all through natural conversation.

The Model Context Protocol (MCP) is an open standard that lets AI assistants call real tools in the world. Schedly's MCP server exposes your entire scheduling infrastructure — availability checking, booking creation, rescheduling, cancellation, and calendar management — as callable tools that any MCP-compatible AI can invoke. When you connect Schedly's MCP server to Claude Desktop, Cursor, Windsurf, or any other MCP client, you can say 'book a 30-minute call with the product team for next Tuesday' and the AI handles the rest. No app switching. No manual form filling. Just natural language that turns into confirmed calendar events.

✓ Free plan available✓ No credit card required✓ Set up in under 10 minutes✓ Cancel anytime
By the Numbers

The results speak for themselves

< 10s
from request to confirmed booking
When an MCP-connected AI assistant processes a scheduling request, it checks real availability, applies your booking rules, and creates a confirmed appointment in under 10 seconds — faster than navigating any scheduling UI.
100%
of your booking rules enforced
Schedly's MCP server applies every booking rule you have configured — buffer times, lead times, routing logic, intake requirements — so AI-created bookings are indistinguishable from web-created bookings.
0
context switches required
Schedule meetings without leaving your AI assistant, terminal, IDE, or chat interface. The MCP server brings scheduling to wherever you are working — not the other way around.
How It Works

Up and running in minutes

No technical setup. No developer required. Fully automated from day one.

01

Add Schedly as an MCP server

Add Schedly's MCP server endpoint to your MCP client configuration — Claude Desktop, Cursor, Windsurf, or any compatible host. Your Schedly API key authenticates the connection. The setup takes under two minutes and requires no code.

02

The AI discovers Schedly's tools

On connection, the MCP host automatically discovers all tools Schedly exposes: check_availability, create_booking, list_bookings, cancel_booking, reschedule_booking, and get_event_types. The AI model understands what each tool does and when to call it.

03

Make scheduling requests in natural language

Ask your AI assistant anything: 'What does my schedule look like Thursday?' or 'Book a discovery call with Sarah at 2pm tomorrow' or 'Cancel my 3pm and find a new time next week.' The AI reasons about the request, calls the right Schedly tools, and confirms the outcome.

04

Bookings appear on all your calendars

Every booking created through the MCP server is a real Schedly booking — it syncs to Google Calendar, Outlook, or iCloud instantly, triggers your confirmation and reminder sequences, and appears in your Schedly dashboard alongside manually created bookings.

Core Capabilities

Everything built in. Nothing bolted on.

Every capability works together as a unified system — not a collection of disconnected features.

Full CRUD Scheduling via AI

Schedly's MCP server exposes complete scheduling operations: check availability windows, create bookings with custom intake data, list upcoming appointments, cancel with optional reasons, and reschedule to new times. AI assistants have the full power of the Schedly platform accessible through natural language.

Works with Claude, Cursor, Windsurf & More

Any MCP-compatible AI host can connect to Schedly's MCP server. Claude Desktop, Cursor, Windsurf, Continue, and any custom MCP client built on the open standard work out of the box. As the MCP ecosystem grows, Schedly is available to every new compatible host automatically.

Your Booking Rules Always Apply

Every booking created through the MCP server is validated against your full Schedly configuration: available hours, buffer times, minimum booking lead time, maximum daily bookings, event type routing, and intake requirements. The AI cannot create invalid bookings — only bookings that would pass your standard web booking flow.

Multi-Calendar Conflict Prevention

MCP-created bookings check your connected calendars in real time before confirming availability. If a time looks open but your Google Calendar has a meeting added five minutes ago, Schedly's MCP server sees the conflict and returns accurate availability data to the AI.

Team Scheduling via MCP

Organizations using Schedly Teams can configure the MCP server with team-level API credentials, enabling AI assistants to book across team availability, apply round-robin routing, and schedule with any team member based on real-time capacity — all through a single natural language interface.

Secure API Key Authentication

Schedly's MCP server uses API key authentication with scoped permissions. You control exactly what operations the MCP integration can perform: read-only availability checking, full booking creation, or complete calendar management. API keys can be rotated instantly if a client configuration is compromised.

Real-World Applications

Works for every service business

See how different industries apply AI scheduling to their specific workflows — and the results they get.

💻
Software Development Teams

Developers use Cursor + Schedly MCP to schedule code reviews, standups, and pair programming sessions without leaving the IDE

Zero context switches for meeting scheduling during deep work sessions
🗂️
Executive Assistants

EAs use Claude Desktop + Schedly MCP to manage executive calendars via natural language — 'find a time for a board call with all three investors next week'

Calendar management tasks that took 20 minutes completed in under 60 seconds
📊
Sales Teams

Sales reps use AI assistants to schedule discovery calls and demos while writing proposals — 'book a demo with the team at Acme for Thursday'

Meeting scheduling integrated into the existing writing and research workflow
🎯
Freelancers & Consultants

Independent consultants use Claude + Schedly MCP to manage client scheduling from a single AI chat interface without juggling multiple apps

Full scheduling management accessible from one conversational interface
🔧
Developers Building AI Apps

Developers building AI-powered products integrate Schedly's MCP server to add scheduling capabilities to custom AI assistants and internal tools

Full scheduling infrastructure available to custom AI products in one MCP connection

Before vs. After AI Scheduling

The operational reality that changes the moment you go live.

Before
  • Phone tag and email back-and-forth for every booking
  • 19%+ no-show rate with no systematic prevention
  • Manual reminder calls consuming staff time every morning
  • After-hours booking requests sent to voicemail
  • Double-bookings from manual calendar management
  • No data on booking patterns or no-show causes
After Schedly
  • One link replaces all scheduling coordination — forever
  • No-show rate drops to under 5% with three-touch reminders
  • AI sends every reminder automatically — zero staff time
  • 24/7 booking captures every after-hours lead instantly
  • Zero double-bookings with real-time calendar intelligence
  • Full analytics dashboard showing every booking pattern
FAQ

Frequently asked questions

MCP is an open standard created by Anthropic that defines how AI models connect to external tools and data sources. MCP servers expose capabilities — APIs, databases, file systems, services — as standardized tools that any MCP-compatible AI host can discover and call. Schedly's MCP server exposes your scheduling infrastructure as callable tools for AI assistants.

Any MCP-compatible host works with Schedly's MCP server: Claude Desktop, Cursor, Windsurf, Continue, and any application built on the MCP open standard. The MCP ecosystem is growing rapidly — new compatible hosts become available regularly and all work with Schedly's MCP server without additional configuration.

Schedly's MCP server is available on Pro and Enterprise plans. The API key required to authenticate MCP connections is generated from your Schedly account settings. Free plan users can access the Schedly REST API but the managed MCP server endpoint requires a paid subscription.

Yes. MCP-created bookings can specify any attendee email address. If you say 'schedule a call with john@client.com tomorrow at 2pm,' the AI creates the booking with John as the attendee, triggers the standard confirmation email to John, and adds the meeting to your calendar — exactly as if you had created the booking through the web interface.

Add Schedly to your Claude Desktop MCP configuration file with your Schedly API key as the authentication credential and the Schedly MCP server endpoint URL. Claude Desktop will discover Schedly's scheduling tools automatically on the next launch. Full configuration instructions are in the Schedly developer documentation.

Schedly's MCP API keys use scoped permissions — you choose whether to grant read-only access (availability checking only), booking creation access, or full management access. Keys are separate from your account password and can be revoked instantly. We recommend creating a dedicated MCP API key with only the permissions your AI workflow requires.

Editorial Guide

MCP + Scheduling: How the Model Context Protocol Is Changing the Way Teams Manage Their Calendars

The Model Context Protocol represents a fundamental architectural shift in how AI systems interact with the world. Before MCP, AI assistants were isolated — powerful at reasoning and language but disconnected from the tools and systems where actual work happens. MCP changes this by creating a standardized bridge between AI models and real-world capabilities. Scheduling is one of the most compelling early use cases for MCP because calendar management is universal, high-friction, and deeply embedded in every professional workflow. The friction of switching from an AI coding assistant in Cursor to a browser tab to book a code review — then switching back — is exactly the kind of context cost that MCP eliminates. Schedly's MCP server makes scheduling a native capability of whatever AI environment you are already working in.

Why Scheduling Is the Perfect First MCP Use Case

Scheduling has all the properties that make an excellent MCP tool: it has clear inputs (who, what type of meeting, when), it requires real-world state (calendar availability), it produces a concrete output (a confirmed booking), and the friction of the current alternative (opening a browser, navigating a UI, filling a form) is high relative to the task's cognitive requirements. When developers use Cursor to write code, they are in a state of deep concentration. The act of scheduling a code review meeting — which might take 30 seconds in Schedly's web interface — requires breaking that concentration, switching windows, and then re-establishing the mental context. With Schedly's MCP server, the scheduling happens in a single natural language message within the Cursor chat panel. The context switch disappears entirely.

The Future of Calendar Management Is Conversational

The Schedly MCP server is an early indicator of where calendar management is heading: from structured UI interactions to unstructured natural language requests that AI systems translate into precise API calls. The implications extend beyond convenience. When scheduling is as easy as describing what you want, people schedule more appropriately — shorter meetings, better-timed follow-ups, faster responses to scheduling requests. Organizations that deploy MCP-connected scheduling infrastructure today are building the operational foundation for an AI-augmented workflow where administrative tasks like scheduling disappear into the background of work rather than interrupting it.

SC
Schedly Research Team
AI Scheduling Intelligence · Updated 2026
Evidence-based
Schedly — AI Scheduling Platform

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