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 - **[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.