PhilflowIO/dav-mcp
by Various
Transform AI agents into orchestrating assistants managing calendars, contacts, and tasks
MCP
PhilflowIO/dav-mcp
Added 10 Oct 2026
Overview
A JavaScript MCP server that transforms AI agents into assistants capable of managing calendars, contacts, and tasks. It connects to DAV-based services to provide a standardized interface for personal information management.
Best for
Best for
Developers building AI assistants that need to manage calendars, contacts, and tasks on DAV servers.
Use cases
- Connect an AI agent to a DAV calendar for scheduling
- Let agents read and update contacts through DAV
- Automate task creation and updates via MCP
How to use
Install
npx dav-mcp --http Tools exposed
AUTH_METHOD
Tested with
Claude Desktop, Cursor
Example client config
{\n "mcpServers": {\n "dav-mcp": {\n "command": "npx",\n "args": ["-y", "dav-mcp"],\n "env": {\n "CALDAV_SERVER_URL": "https://dav.example.com",\n "CALDAV_USERNAME": "your_username",\n "CALDAV_PASSWORD": "your_password"\n }\n }\n }\n} Notes
A JavaScript MCP server that transforms AI agents into assistants capable of managing calendars, contacts, and tasks. It connects to DAV-based services to provide a standardized interface for personal information management.
40 stars on GitHub. Last updated 2026-10-10. Licensed MIT.
Use cases
- Connect an AI agent to a DAV calendar for scheduling
- Let agents read and update contacts through DAV
- Automate task creation and updates via MCP
Pros
- Open source and available on GitHub
- Written in JavaScript for easy integration with Node.js
- Focused on a specific integration, keeping the codebase small
Cons
- Small user base (40 stars) may limit community support
- Narrow scope limited to DAV-based services
- Potential for slower maintenance due to low adoption
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Open source and available on GitHub
- Written in JavaScript for easy integration with Node.js
- Focused on a specific integration, keeping the codebase small
Cons
- Small user base (40 stars) may limit community support
- Narrow scope limited to DAV-based services
- Potential for slower maintenance due to low adoption
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