Discover our curated collection of MCP servers for productivity & workflow. Browse 5532servers and find the perfect MCPs for your needs.
Plays a sound when Cursor AI completes a task to provide audio feedback.
Enables AI assistants to interact with Slack workspaces via the Model Context Protocol.
Provides access to Lark Bitable through the Model Context Protocol, enabling interaction with Bitable tables using predefined tools.
Automates tasks based on prompts within LaunchBar, leveraging Langchain and MCP integration.
Automatically uploads images copied to the clipboard to Supabase Storage and replaces the clipboard content with the image's URL.
Enables Claude Desktop to interact directly with Google Sheets for creating, reading, and managing spreadsheets.
Organizes, tests, and manages AI prompts with collections, dynamic variables, execution history, and Model Context Protocol (MCP) integration.
Executes shell commands in parallel through AI assistants, offering real-time progress and results for various system and development workflows.
Enables AI assistants to manage Fivetran accounts and data integration operations through a standardized API.
Provides an MCP server to integrate AI assistants with Fatebook for tracking personal predictions.
Provides MCP-compatible AI assistants with robust email sending capabilities through SMTP integration.
Renders Markdown content or files into PDF documents via a Model Context Protocol (MCP) server.
Integrates FOAAS (Fuck Off As A Service) operations as Model Context Protocol tools for AI clients to generate humorous, explicit responses.
Integrate AI assistants like Claude Desktop and ChatGPT with n8n to manage, create, and execute workflows using natural language commands.
Quickly deploys a full-stack Nginx proxy for n8n with Docker Compose, facilitating container management via Portainer and SSL securing through Certbot.
Refines AI-generated content to achieve natural, human-like writing through advanced AI detection and text enhancement.
Provides a full-stack AI agent platform integrating Retrieval Augmented Generation (RAG), Model Context Protocol (MCP), and multi-LLM capabilities.
Streamlines daily stand-up processes with integrated artificial intelligence features, leveraging Kotlin Multiplatform for cross-platform availability.
Analyzes local Python repositories to generate and maintain practical `ONBOARDING.md` documentation for environment setup, dependencies, testing, and application execution.
Enables AI assistants to manage Snipe-IT assets, consumables, accessories, licenses, and system configuration through a comprehensive set of tools.
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