Discover our curated collection of MCP servers for productivity & workflow. Browse 5455servers and find the perfect MCPs for your needs.
Empower Large Language Models to read, edit, and automate Excel spreadsheets using a robust set of MCP tools.
Automates the creation of PowerPoint presentations through a MCP server.
Enables interaction with the Backlog API to manage projects, issues, wikis, and more through AI agents.
Enables AI agents to perform function calls and message processing directly within Feishu (Lark) without requiring a dedicated bot.
Provides a universal server for processing, converting, and automating various document formats through a unified API.
Provides AI agents with a comprehensive operating system, enabling access to tools, cognitive systems, and specialized services through the Model Context Protocol.
Enables AI assistants to interact with OmniFocus tasks and projects using natural language.
Implements the Zettelkasten knowledge management methodology, enabling creation, linking, exploration, and synthesis of atomic notes.
Connects Readwise to Large Language Models (LLMs) through a local Model Context Protocol (MCP) server.
Provides scaffolding, architectural patterns, and validation rules to scale AI coding agents and ensure consistent, convention-following code generation.
Transforms N8N workflows into Model Context Protocol servers, enabling their use as custom tools with AI assistants like Claude and Cursor.
Enables recursive large language model reasoning over long documents by providing tools for iterative exploration, code execution, and evidence accumulation.
Integrates Apple Reminders with Model Context Protocol (MCP) to enable interaction with reminders through a standardized interface.
Exposes your Zotero library to AI assistants via the Model Context Protocol.
Manages and aggregates multiple Model Context Protocol (MCP) servers, allowing large language models to dynamically extend their capabilities.
Integrates the Codex CLI with your IDE or AI assistant, providing robust capabilities for AI-driven code analysis, refactoring, and automation.
Enables integration between Large Language Models (LLMs) and JetBrains IDEs by providing a server-side implementation for handling Model Context Protocol (MCP) requests and extension points for custom tools.
Connects Dart AI project management tools to AI assistants through the Model Context Protocol.
Provides Claude with a dedicated scratchpad for structured reasoning to improve performance on complex tasks.
Manages software project specifications through an AI-powered, structured workflow of requirements, design, and implementation documents.
Scroll for more results...