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Enables natural language management of Todoist tasks, projects, labels, and sections through Claude or other MCP-compatible LLMs.
Provides a personal assistant AI agent with tools for managing calendars, tasks, emails, and more.
Enables AI language models to interact with Microsoft OneNote through a standardized interface.
Provides secure, read-only access to files within a specified directory using the Model Context Protocol (MCP).
Enables Large Language Model (LLM) agents to interact with local filesystems and web resources through defined operations.
Simplifies the integration of Model Context Protocol (MCP) server tools with LangChain in TypeScript projects.
Streamlines the UI/UX design workflow from inspiration gathering to development handoff using AI-powered automation.
Enables LLMs to create Microsoft Office documents, including PowerPoint presentations, Word documents, and Outlook emails.
Provides a local Model Context Protocol server for client-driven project and task management using a SQLite database.
Enables AI assistants to interact with Redmine instances for project and issue management via the Model Context Protocol.
Stores AI memories as Obsidian-compatible Markdown files, enabling knowledge graph visualization.
Optimizes JSON data for Large Language Model (LLM) contexts by providing schema generation and intelligent filtering capabilities.
Grounds AI coding assistants with local, official documentation for building reliable, secure, and observable AI agents with LangGraph.
Enables AI models to interact with Fakturoid accounting and invoicing data through a rich set of tools, resources, and guided workflows.
Orchestrates AI agents to autonomously handle complex, multi-step software development tasks.
Connects WHOOP fitness data to Claude Desktop, enabling natural language queries and insights into personal health metrics.
Orchestrates multi-agent task coordination and file locking, combining issue tracking with built-in agent messaging for conflict-free development.
Captures AI agent corrections, extracts reusable behaviors, and activates them contextually to improve agent performance.
Validates, auto-fixes, and scaffolds TwinCAT 3 XML files, providing deterministic code quality tooling for AI assistants via an MCP server.
Empower AI assistants to control multiple CAD applications via the Model Context Protocol.
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