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.

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PinThePiece

Manages notes with a robust Model Context Protocol (MCP) server.

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Local Command

Executes commands and returns structured outputs via an MCP server.

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Servers

Extends Cursor IDE with Model Context Protocol servers for interacting with external tools and services.

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Logseq

Enables AI agents to interact with a local Logseq instance via the Model Context Protocol (MCP).

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Screenshot

Captures screenshots and facilitates their use by other processes or AI assistants, primarily by saving to a client-specified file path.

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Wordware

Integrates Wordware agent capabilities with AI assistants via the Model Context Protocol (MCP).

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Jujutsu

Exposes Jujutsu version control operations as programmable tools via the Model Context Protocol (MCP).

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Fetch

Enables Claude Desktop to fetch web content and process images for seamless integration.

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Suekou Notion

Enables Claude to interact with Notion workspaces via the Notion API.

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Loxo

Enables AI assistants to interact with the Loxo recruitment platform API for managing candidates, jobs, activities, and call queues.

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Server Continue

Exposes customizable prompt templates, resources, and tools for use with continue.dev.

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Shell Exec

Enables persistent shell command execution for Claude and other Model Context Protocol (MCP) compatible AI assistants.

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Taskwarrior

Enables management of tasks within Taskwarrior through an MCP (Most Common Protocol) server.

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DevContext

Provides developers with continuous, project-centric context awareness by learning from development patterns to deliver highly relevant code understanding.

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Transmogrifier

Converts MCP server JSON configurations into LibreChat-compatible YAML format.

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JBAssist

Enables Claude to interact with Microsoft 365 services through the Microsoft Graph API on Windows.

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Timing

Enables AI assistants to interact with the Timing application for time tracking and task management.

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Todo

Enables AI agents to interact with and manage Todo applications using the Model Context Protocol (MCP).

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Emacs Buffers

Exposes open Emacs buffers as MCP Resources.

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Todo

Implements a minimal todo application as a Model Context Protocol (MCP) server.

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