Productivity & Workflow MCP Servers
Discover our curated collection of MCP servers for productivity & workflow. Browse 2700servers and find the perfect MCPs for your needs.
Linear Issues
Enables AI assistants to retrieve Linear issue details and comments using API tokens for read-only access.
NameChecker
Enables AI assistants to verify domain name availability and validate syntax in real-time.
Filesystem
Provides file system operations, including reading, writing, creating, moving, searching, and retrieving metadata for files and directories.
Notelog
Quickly record notes from the command-line, organized as Markdown files with YAML frontmatter, and interact with AI assistants via the Model Context Protocol.
Roam Research
Enables Claude Desktop to read from and write to a Roam Research graph via a Model Context Protocol server.
Markdownlint
Lints, formats, and ensures compliance of Markdown files for AI assistants using Model Context Protocol.
Kanta
Integrates the Kanta API with language models like Claude using the Model Context Protocol for AI assistant interaction.
Find Files
Locates files on a computer using various filtering options.
Background Task
Enables running and managing long-running background tasks from within Model Context Protocol (MCP) compatible clients.
Asana
Generates a Multi-Agent Conversation Protocol (MCP) server specifically for the Asana API using an automated builder.
Notion Pantry
Connects large language models to a Notion pantry database for intelligent food management.
Automator
Enables AI models like Claude to natively control macOS applications and automate system workflows.
Mise
Enables AI assistants to interact with and execute mise tasks within projects.
Sol Todo
Manages to-do list functionalities by acting as an intermediary between AI agents and a RESTful Todo API via the Model Context Protocol.
Matter AI
Integrates advanced code review, implementation planning, and pull request generation directly into IDEs for AI agents.
Joplin
Provides server-side functionalities for MCP (Mission Control Platform) tools.
File Control
Enables AI assistants to interface with the local file system, providing advanced directory analysis and file editing capabilities.
Context Apps
Integrates AI-powered productivity applications for task management, idea development, journal analysis, and time tracking with large language models via the Model Context Protocol.
Coding Todo
Manage a coding project's todo list with this MCP server.
Prompt New
Manages and saves AI prompts with timestamps via a Model Context Protocol server.
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