Discover our curated collection of MCP servers for productivity & workflow. Browse 8051 servers and find the perfect MCPs for your needs.
Enables LLMs to manipulate PDF files through merging, extracting pages, and searching content.
Integrates with Zendesk to manage tickets, comments, and access the Help Center knowledge base.
Controls Apple Music on macOS using AppleScript through a FastMCP server implementation.
Enables creating and modifying wireframes in Frame0 by prompting.
Manage development tasks with AI assistance, from requirements parsing to implementation step generation.
Facilitates the creation of structured documentation systems for AI assistants, enabling context preservation using the Memory Bank pattern.
Connect AI assistants to an ERPNext instance via the Model Context Protocol (MCP) using the official Frappe API.
Connects to and interacts with Apple Notes on macOS.
Enables Directus users to interact with their data through Large Language Models (LLMs) using the Model Context Protocol (MCP).
Integrates Overleaf projects with Model Context Protocol (MCP) clients, enabling access to LaTeX files, document structure analysis, and content extraction.
Enables AI assistants to interact with Joplin notes, notebooks, and tags through a standardized interface.
Streamlines AI-assisted software development by communicating product and technical requirements to large language model coding agents.
Facilitates programmatic interaction with the Spotify API for music search, playback control, and library management.
Enables AI CLI tools like Cursor and Claude Code to invoke specialized, custom AI agents for specific tasks.
Elevates your Obsidian vault into an intelligent knowledge system by providing AI agents with specialized tools for managing and analyzing notes.
Integrates AI agents like Gemini and Qwen directly into Neovim for seamless diff views, agent management, and smart file modifications.
Enables LLMs to pose clarifying questions to users within a dedicated, clean terminal interface for enhanced coding workflows.
Enables AI assistants and other tools to read, search, and traverse reMarkable tablet data, including handwritten notes via OCR.
Interactively disassemble 6502 code, primarily for Commodore 8-bit computers, with a modern text-based user interface.
Establishes a persistent, markdown-native memory infrastructure for AI agents to maintain identity, knowledge, and operational state across sessions.
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