Radicale CalDAV MCP Server

Radicale CalDAV MCP Server

Enables LLM agents to read, schedule, update, and delete calendar events and tasks on a self-hosted CalDAV server, and to query availability for free/busy slots.

Category
Visit Server

README

Radicale CalDAV MCP Server

A Model Context Protocol (MCP) server built with FastMCP / the official MCP Python SDK that bridges LLM agents (such as Nous Hermes, Claude, OpenAI) to a self-hosted Radicale CalDAV calendar and task manager.


Features

📅 Calendar Events (VEVENT)

  • get_events: Query events within date/time ranges with optional keyword search across summary, description, and location.
  • get_free_busy_slots: Calculate open, unbooked time slots during configurable business hours (e.g. 9:00 AM - 5:00 PM) in any IANA timezone.
  • create_event: Schedule new events with automatic ISO validation, attendee invitations, and overlap/conflict detection.
  • update_event: Modify existing events by UID without overwriting untouched fields.
  • delete_event: Remove events by UID.

📝 Tasks & To-Dos (VTODO)

  • list_todos: Fetch pending or completed tasks filtered by status (NEEDS-ACTION, COMPLETED, IN-PROCESS, CANCELLED, ALL).
  • create_todo: Create tasks with due dates, priority levels (1-9), and descriptions.
  • complete_todo: Mark tasks as completed with automatic completion timestamps.

🚀 Transports & Deployment

  • STDIO Transport: Default transport for local execution (e.g. Claude Desktop, local agents).
  • SSE (Server-Sent Events) Transport: Over HTTP for remote, always-on deployments (e.g. Coolify, Docker).

Configuration

Configure the server via environment variables or a .env file:

Variable Default Description
RADICALE_BASE_URL http://localhost:5232 Base URL to Radicale (e.g. https://radicale.dubblu.app)
RADICALE_USERNAME mvela581 CalDAV username
RADICALE_PASSWORD "" CalDAV password
RADICALE_CALENDAR_SLUG seuspeptides Target calendar slug / collection name
DEFAULT_TIMEZONE America/New_York Default IANA timezone
MCP_TRANSPORT stdio Transport protocol: stdio or sse
MCP_HOST 0.0.0.0 Host interface for SSE mode
MCP_PORT 8000 Port number for SSE mode

Local Quickstart

1. Installation

# Clone and enter directory
cd radicale-mcp-server

# Create virtual environment
python3 -m venv .venv
source .venv/bin/activate

# Install dependencies
pip install -r requirements.txt

2. Configure Environment

Copy .env.example to .env and set your credentials:

cp .env.example .env

3. Run Locally

STDIO Mode (Local Pipe)

python server.py --stdio

SSE Mode (HTTP Server)

python server.py --sse --host 0.0.0.0 --port 8000

4. Run Test Client

# Test via STDIO
python test_client.py --mode stdio

# Test via SSE (when server is running)
python test_client.py --mode sse --sse-url http://localhost:8000/sse

5. Run Automated Tests

pytest -v

Coolify Deployment

Deploy the MCP server on Coolify with zero configuration:

  1. Create a new service in Coolify: Docker Compose or Dockerfile.
  2. Point it to this repository or paste the docker-compose.yml.
  3. Set the following environment variables in Coolify UI:
    • RADICALE_BASE_URL=https://radicale.dubblu.app
    • RADICALE_USERNAME=mvela581
    • RADICALE_PASSWORD=your_password
    • RADICALE_CALENDAR_SLUG=seuspeptides
    • DEFAULT_TIMEZONE=America/New_York
    • MCP_TRANSPORT=sse
    • MCP_PORT=8000
  4. Expose port 8000 via Coolify reverse proxy with your domain (e.g. https://mcp-calendar.yourdomain.com).
  5. Your SSE endpoint will be accessible at:
    https://mcp-calendar.yourdomain.com/sse
    

LLM Agent Integration (Nous Hermes / Claude Desktop)

Claude Desktop Configuration

Add the following to your claude_desktop_config.json:

Local STDIO:

{
  "mcpServers": {
    "radicale_calendar": {
      "command": "/path/to/radicale-mcp-server/.venv/bin/python",
      "args": ["/path/to/radicale-mcp-server/server.py", "--stdio"],
      "env": {
        "RADICALE_BASE_URL": "https://radicale.dubblu.app",
        "RADICALE_USERNAME": "mvela581",
        "RADICALE_PASSWORD": "your_password",
        "RADICALE_CALENDAR_SLUG": "seuspeptides",
        "DEFAULT_TIMEZONE": "America/New_York"
      }
    }
  }
}

Remote SSE (Coolify):

{
  "mcpServers": {
    "radicale_calendar": {
      "url": "https://mcp-calendar.yourdomain.com/sse"
    }
  }
}

Nous Hermes Agent Integration

Tool definitions are auto-generated from docstrings with type specifications. Sample prompt usage:

{
  "name": "get_free_busy_slots",
  "arguments": {
    "start_date": "2026-08-26",
    "end_date": "2026-08-28",
    "slot_duration_minutes": 30,
    "working_hours_start": 9,
    "working_hours_end": 17,
    "timezone": "America/New_York"
  }
}

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured