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Why this server?
Provides hierarchical task management capabilities to Large Language Models, enabling them to manage complex tasks and dependencies for project management.
Why this server?
Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.
Why this server?
A server implementation that allows AI assistants to read, create, and manipulate notes in Obsidian vaults through the Model Context Protocol.
Why this server?
A simple note-taking MCP server for recording and managing notes with AI models.
Why this server?
An improved implementation of persistent memory using a local knowledge graph which lets Claude remember information about the user across chats.
Why this server?
Provides comprehensive Gmail integration with LLM processing capabilities, allowing users to read, search, filter emails and handle attachments through the Model Context Protocol.
Why this server?
Enables LLMs to interact with GitHub issues by providing details as tasks, allowing for seamless integration and task management through GitHub's platform.
Why this server?
Memory Bank Server provides a set of tools and resources for AI assistants to interact with Memory Banks. Memory Banks are structured repositories of information that help maintain context and track progress across multiple sessions.
Why this server?
A lightweight server that enables AI assistants like Cursor & Claude to read from and write to Obsidian vaults, allowing actions like creating notes, checking existing content, and managing todos through natural language.
Why this server?
Facilitates interaction with the Attio CRM by allowing MCP clients to read and write company records and notes through the Attio API.