Productivity & Workflow MCP Servers
Discover our curated collection of MCP servers for productivity & workflow. Browse 1111 servers and find the perfect MCPs for your needs.
PinThePiece
Manages notes with a robust Model Context Protocol (MCP) server.
Local Command
Executes commands and returns structured outputs via an MCP server.
Servers
Extends Cursor IDE with Model Context Protocol servers for interacting with external tools and services.
Logseq
Enables AI agents to interact with a local Logseq instance via the Model Context Protocol (MCP).
Screenshot
Captures screenshots and facilitates their use by other processes or AI assistants, primarily by saving to a client-specified file path.
Wordware
Integrates Wordware agent capabilities with AI assistants via the Model Context Protocol (MCP).
Jujutsu
Exposes Jujutsu version control operations as programmable tools via the Model Context Protocol (MCP).
Fetch
Enables Claude Desktop to fetch web content and process images for seamless integration.
Suekou Notion
Enables Claude to interact with Notion workspaces via the Notion API.
Loxo
Enables AI assistants to interact with the Loxo recruitment platform API for managing candidates, jobs, activities, and call queues.
Server Continue
Exposes customizable prompt templates, resources, and tools for use with continue.dev.
Shell Exec
Enables persistent shell command execution for Claude and other Model Context Protocol (MCP) compatible AI assistants.
Taskwarrior
Enables management of tasks within Taskwarrior through an MCP (Most Common Protocol) server.
DevContext
Provides developers with continuous, project-centric context awareness by learning from development patterns to deliver highly relevant code understanding.
Transmogrifier
Converts MCP server JSON configurations into LibreChat-compatible YAML format.
JBAssist
Enables Claude to interact with Microsoft 365 services through the Microsoft Graph API on Windows.
Timing
Enables AI assistants to interact with the Timing application for time tracking and task management.
Todo
Enables AI agents to interact with and manage Todo applications using the Model Context Protocol (MCP).
Emacs Buffers
Exposes open Emacs buffers as MCP Resources.
Todo
Implements a minimal todo application as a Model Context Protocol (MCP) server.
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