From 1c19ae4b2a96609a248fc679a0a0a232fe6fc08d Mon Sep 17 00:00:00 2001 From: PhilflowIO Date: Fri, 3 Apr 2026 13:57:52 +0200 Subject: [PATCH] =?UTF-8?q?Add=20dav-mcp=20community=20server=20=E2=80=94?= =?UTF-8?q?=20universal=20CalDAV/CardDAV/VTODO=20orchestration?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.6 (1M context) --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index aefbd53c0b..34d656feda 100644 --- a/README.md +++ b/README.md @@ -748,6 +748,7 @@ A growing set of community-developed and maintained servers demonstrates various - **[Dataverse DevTools MCP Server](https://github.com/vignaesh01/DataverseDevToolsMcpServer)** - An MCP server exposing ready-to-use Dataverse/Dynamics 365 tools for user and security administration, data operations, Web API executions, metadata exploration, and troubleshooting. - **[DataWorks](https://github.com/aliyun/alibabacloud-dataworks-mcp-server)** - A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the [DataWorks](https://www.alibabacloud.com/help/en/dataworks/) Open API through a standardized interface. This implementation is based on the Alibaba Cloud Open API and enables AI agents to perform cloud resources operations seamlessly. - **[DaVinci Resolve](https://github.com/samuelgursky/davinci-resolve-mcp)** - MCP server integration for DaVinci Resolve providing powerful tools for video editing, color grading, media management, and project control. +- **[dav-mcp](https://github.com/PhilflowIO/dav-mcp)** - Turn any calendar, contact book, or task list into an AI-orchestrated system. Platform-independent via CalDAV/CardDAV — works with Nextcloud, Baikal, Radicale, Fastmail, and any standards-compliant DAV server. 26 tools with field-agnostic updates. - **[DBHub](https://github.com/bytebase/dbhub/)** - Universal database MCP server connecting to MySQL, MariaDB, PostgreSQL, and SQL Server. - **[Deebo](https://github.com/snagasuri/deebo-prototype)** – Agentic debugging MCP server that helps AI coding agents delegate and fix hard bugs through isolated multi-agent hypothesis testing. - **[Deep Research](https://github.com/reading-plus-ai/mcp-server-deep-research)** - Lightweight MCP server offering Grok/OpenAI/Gemini/Perplexity-style automated deep research exploration and structured reporting.