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M MCP Servers Developer low

Danielpeter-99/calcom-mcp

by Various

A FastMCP server for interacting with the Cal.com API. This enables LLMs to manage event types, create bookings, and access Cal.com scheduling data programmatically.

D

MCP

Danielpeter-99/calcom-mcp

Added 1 June 2026

Overview

A FastMCP server built in Python that exposes Cal.com scheduling capabilities to LLM agents. It allows programmatic management of event types, creation of bookings, and retrieval of scheduling data through the Model Context Protocol.

Best for

Best for
Developers building AI-driven scheduling assistants or calendar automation tools

Use cases

  • Let an AI assistant schedule meetings by creating Cal.com bookings
  • Automate event type configuration via natural language commands
  • Query availability and reschedule appointments through an LLM

Notes

A FastMCP server built in Python that exposes Cal.com scheduling capabilities to LLM agents. It allows programmatic management of event types, creation of bookings, and retrieval of scheduling data through the Model Context Protocol.

18 stars on GitHub. Last updated 2025-06-02. Licensed MIT.

Use cases

  • Let an AI assistant schedule meetings by creating Cal.com bookings
  • Automate event type configuration via natural language commands
  • Query availability and reschedule appointments through an LLM

Pros

  • Leverages the standard FastMCP protocol for easy integration with MCP hosts
  • Targeted functionality keeps the codebase small and focused
  • Enables direct control of Cal.com data from AI workflows

Cons

  • Relies on the Cal.com API, so any API changes or downtime affect functionality
  • Small community (18 stars) means limited support and documentation
  • Requires running or hosting the MCP server alongside an LLM application

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Leverages the standard FastMCP protocol for easy integration with MCP hosts
  • Targeted functionality keeps the codebase small and focused
  • Enables direct control of Cal.com data from AI workflows

Cons

  • Relies on the Cal.com API, so any API changes or downtime affect functionality
  • Small community (18 stars) means limited support and documentation
  • Requires running or hosting the MCP server alongside an LLM application

Pairs with

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