auth-security

dav-mcp

PhilflowIO

by PhilflowIO

Transform AI agents into orchestrating assistants managing calendars, contacts, and tasks

Provides comprehensive CalDAV, CardDAV, and VTODO protocol support for managing calendars, contacts, and tasks across any RFC-compliant server with 26 production-ready tools.

github stars

16

0 commentsdiscussion

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best for

  • / General purpose MCP workflows

capabilities

  • / list_calendars
  • / list_events
  • / create_event
  • / update_event
  • / delete_event
  • / calendar_query

what it does

Provides comprehensive CalDAV, CardDAV, and VTODO protocol support for managing calendars, contacts, and tasks across any RFC-compliant server with 26 production-ready tools.

about

dav-mcp is a community-built MCP server published by PhilflowIO that provides AI assistants with tools and capabilities via the Model Context Protocol. Transform AI agents into orchestrating assistants managing calendars, contacts, and tasks It is categorized under auth security. This server exposes 20 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install dav-mcp in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

dav-mcp is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

dav-mcp

Give your AI agents the power of organization — Transform them into orchestrating assistants managing calendars, contacts, and tasks.

Built on 26 production-ready tools spanning CalDAV, CardDAV, and VTODO protocols.

License: MIT npm version


Quick Start

Claude Desktop / Cursor (Local)

Add to your MCP config file:

{
  "mcpServers": {
    "dav-mcp": {
      "command": "npx",
      "args": ["-y", "dav-mcp"],
      "env": {
        "CALDAV_SERVER_URL": "https://dav.example.com",
        "CALDAV_USERNAME": "your_username",
        "CALDAV_PASSWORD": "your_password"
      }
    }
  }
}

Config file locations:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

Restart Claude Desktop after adding the configuration.


n8n (Remote HTTP)

Start the HTTP server:

CALDAV_SERVER_URL=https://dav.example.com \
CALDAV_USERNAME=your_username \
CALDAV_PASSWORD=your_password \
BEARER_TOKEN=your-secret-token \
npx dav-mcp --http

Then in n8n:

  1. Add AI Agent node
  2. Add MCP Client Tool node and connect to AI Agent
  3. Configure:
    • MCP Endpoint: http://localhost:3000/mcp
    • Authentication: Bearer
    • Token: your-secret-token

Custom port:

npx dav-mcp --http --port=8080

Docker

git clone https://github.com/PhilflowIO/dav-mcp.git
cd dav-mcp
cp .env.example .env
# Edit .env with your credentials
docker-compose up

The Orchestration

When partial tools force your AI to improvise, complete tools let it execute precise operations across all components.

Capabilitydav-mcpMost MCPs
Calendar ManagementFull CRUD (11 tools)Create + list only (2-3 tools)
Contact ManagementComplete CardDAV (8 tools)Often missing entirely
Task ManagementFull VTODO support (7 tools)Rarely included
Field-Based UpdatesAll RFC properties + custom fieldsRarely available
Server-Side FilteringEfficient queriesDumps all data
Multi-ProviderAny CalDAV/CardDAV serverLimited provider support
Total Tools26 tools2-6 tools

Available Tools (26 Total)

CalDAV Tools (11 tools)

  1. list_calendars - List all available calendars
  2. list_events - List ALL events (use calendar_query for filtered searches)
  3. create_event - Create a new calendar event
  4. update_event - PREFERRED: Update any event field (SUMMARY, LOCATION, DTSTART, STATUS, custom X-* properties)
  5. update_event_raw - Update event with raw iCal data (advanced)
  6. delete_event - Delete an event permanently
  7. calendar_query - PREFERRED: Search and filter events efficiently by text, date range, or location
  8. make_calendar - Create a new calendar collection
  9. update_calendar - Update calendar properties (display name, description, color, timezone)
  10. delete_calendar - Permanently delete a calendar and all its events
  11. calendar_multi_get - Batch fetch multiple specific events by URLs

CardDAV Tools (8 tools)

  1. list_addressbooks - List all available address books
  2. list_contacts - List ALL contacts (use addressbook_query for filtered searches)
  3. create_contact - Create a new contact (vCard)
  4. update_contact - PREFERRED: Update any contact field (FN, EMAIL, TEL, ORG, ADR, custom X-* properties)
  5. update_contact_raw - Update contact with raw vCard data (advanced)
  6. delete_contact - Delete a contact permanently
  7. addressbook_query - PREFERRED: Search and filter contacts efficiently by name, email, or organization
  8. addressbook_multi_get - Batch fetch multiple specific contacts by URLs

VTODO Tools (7 tools)

  1. list_todos - List ALL todos/tasks (use todo_query for filtered searches)
  2. create_todo - Create a new todo/task with optional due date, priority, status
  3. update_todo - PREFERRED: Update any todo field (SUMMARY, STATUS, PRIORITY, DUE, PERCENT-COMPLETE, custom X-* properties)
  4. update_todo_raw - Update todo with raw VTODO iCal data (advanced)
  5. delete_todo - Delete a todo/task permanently
  6. todo_query - PREFERRED: Search and filter todos efficiently by status/due date
  7. todo_multi_get - Batch fetch multiple specific todos by URLs

Real-World Applications

n8n Automation Workflows

  • Meeting Management: "Show me all Friday meetings" → calendar_query with date filter returns only relevant events
  • Contact Search: "Find everyone at Google" → addressbook_query with org filter finds matches efficiently
  • Task Reporting: "Show overdue high-priority tasks" → todo_query with filters returns specific results
  • Scheduled Cleanup: Daily cron job deletes completed tasks using targeted queries

Claude Desktop Integration

  • Quick Event Creation: "Create team meeting tomorrow 2 PM" → create_event executes immediately
  • Contact Lookup: "What's Sarah's email?" → addressbook_query with name filter finds contact
  • Calendar Overview: "What's on my calendar next week?" → calendar_query with date range shows events
  • Calendar Management: "Create a new calendar called Project Luna" → make_calendar creates collection

Works Across All Major Providers

Works with any CalDAV/CardDAV server that follows RFC 4791 and RFC 6352:

  • Nextcloud - Full support
  • Baikal - Full support
  • Radicale - Full support
  • iCloud - Works with app-specific password
  • Any RFC-compliant server - Standard protocol support

Google Calendar (OAuth2)

For Google Calendar, use OAuth2 authentication:

{
  "mcpServers": {
    "dav-mcp": {
      "command": "npx",
      "args": ["-y", "dav-mcp"],
      "env": {
        "AUTH_METHOD": "OAuth",
        "GOOGLE_USER": "[email protected]",
        "GOOGLE_CLIENT_ID": "your-client-id",
        "GOOGLE_CLIENT_SECRET": "your-client-secret",
        "GOOGLE_REFRESH_TOKEN": "your-refresh-token"
      }
    }
  }
}

Security

  • Input Validation: All inputs validated with Zod schemas before execution
  • Rate Limiting: 100 requests/minute per session (HTTP mode)
  • Bearer Auth: Token authentication for HTTP transport
  • No Credential Storage: Pass-through only, never logged or cached
  • Structured Logging: Audit trail with request IDs, no PII exposure
  • CORS Protection: Whitelist origins, block cross-site attacks

Documentation


Contributing

Pull requests are welcome! Please read CONTRIBUTING.md for guidelines.


License

MIT License - see LICENSE for details


Acknowledgments

Built with:

  • tsdav - Excellent TypeScript CalDAV/CardDAV library
  • tsdav-utils - Field-agnostic utility layer for RFC-compliant field updates
  • MCP SDK - Model Context Protocol by Anthropic
  • ical.js - RFC-compliant iCalendar parser

Questions? Issues? Create a GitHub issue


Built for AI agents managing calendars, contacts, and tasks

FAQ

What is the dav-mcp MCP server?
dav-mcp is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for dav-mcp?
This profile displays 71 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.671 reviews
  • Chaitanya Patil· Dec 24, 2024

    We wired dav-mcp into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Evelyn Torres· Dec 24, 2024

    Strong directory entry: dav-mcp surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Yusuf Sanchez· Dec 8, 2024

    Useful MCP listing: dav-mcp is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Tariq Zhang· Dec 4, 2024

    Strong directory entry: dav-mcp surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Hassan Bhatia· Nov 27, 2024

    dav-mcp reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Anaya Patel· Nov 23, 2024

    We wired dav-mcp into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Piyush G· Nov 15, 2024

    Strong directory entry: dav-mcp surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Ava Anderson· Nov 15, 2024

    We wired dav-mcp into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Aisha Zhang· Oct 18, 2024

    We wired dav-mcp into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Liam Rahman· Oct 14, 2024

    dav-mcp reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

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