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 2840 个服务器，找到满足您需求的完美 MCP。

Integrates Sketch designs with IDEs to enable AI-powered design-to-code workflows.

Connects a local Zotero library with Claude's desktop interface for direct read access.

Enables querying Reaper projects using an MCP client.

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

Converts various file formats to Markdown using the MarkItDown utility via the Model Context Protocol (MCP).

Writes notes to Flomo from an MCP server.

Provides a comprehensive developer portal to extend and integrate with Anytype's unique offline-first knowledge management system.

Empowers AI with real-time desktop vision capabilities and enhanced UI intelligence through the Model Context Protocol.

Integrates with The Movie Database (TMDB) API to provide movie information, search capabilities, and recommendations within Claude Desktop.

Provides a persistent memory system for AI assistants within the Cursor IDE, enhancing context awareness and workflow continuity.

Empowers AI agents with advanced Roslyn-powered capabilities to analyze, understand, and precisely modify C# codebases.

Enables Google Calendar integration with Claude Desktop through the Model Context Protocol.

Integrate a low-latency AI voice agent into daily life for tasks like web searches, smart home control, and calendar management.

Enables AI assistants to interact with and extract information from a Logseq knowledge graph.

Enables AI assistants to interact with the ChatGPT desktop app on macOS using the Model Context Protocol (MCP).

Chains calls to other Model Context Protocol (MCP) tools, reducing token usage by enabling sequential tool execution with result passing.

Provides an MCP server to search and retrieve your Claude Code conversation history, enabling quick access to past solutions and insights.

Dynamically selects and exposes tools from multiple MCP servers to create focused toolsets for AI assistants.

Provides optimized file system operations with smart context management and token-efficient partial reading/editing.

Exposes existing Gin endpoints as Model Context Protocol (MCP) tools, enabling instant use by MCP-compatible clients.

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