Productivity & Workflow MCP 服务器

发现我们为 productivity & workflow 精心策划的 MCP 服务器集合。浏览 1963 个服务器，找到满足您需求的完美 MCP。

Enables analyzing and querying XMind mind maps for content extraction and analysis.

Enables Claude to improve its complex reasoning capabilities by providing a dedicated space for structured thinking.

Enables local video searching, tailoring, stitching, and playback using FFmpeg command-line via a convenient interface.

Enables AI models to interact with Notion's API for advanced todo management and content organization.

Sends ntfy notifications when AI assistant tasks are completed using the Model Context Protocol.

Enables AI assistants to search and purchase products directly from Amazon.

Automates GUI testing and control using PyAutoGUI through a Model Context Protocol (MCP) server.

Builds a universal intelligence platform capable of executing tasks and automating processes across multiple domains.

Orchestrates multi-agent workflows by automatically loading configurations and executing them via the Model Context Protocol.

Enables OCR processing of local files and URLs using the Mistral AI OCR API.

Tracks files semantically, enabling AI-powered search and retrieval.

Delegate tasks to other LLMs by calling another MCP client from your MCP client.

Enables LLMs to manage projects and issues within Plane.so through its API.

Processes audio files through OpenAI's transcription and speech services via the Model Context Protocol.

Enables AI models to access and manage email services through a standardized interface.

Enhances Claude's desktop application by providing Model Context Protocol (MCP) servers for interacting with a computer.

Enables Claude to access and manage Microsoft Outlook calendars on Windows systems.

Enables calling iFlytek workflows through Model Context Protocol (MCP) tools.

Provides pre-defined prompt templates for Model Context Protocol (MCP) to streamline task execution in editors like Cursor and Windsurf.

Sends system notifications with sound when Agent tasks are completed, ensuring users are promptly alerted upon task completion.

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