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Connects Claude Desktop to read and search your Obsidian vault's Markdown notes.
Enables AI assistants to interact with the Unity Editor for game development workflows.
Enables AI assistants to manage Gmail through natural language interactions with auto authentication support.
Enables AI assistants to interact with and manage n8n workflows through natural language.
Integrates Google Calendar with Model Context Protocol, enabling LLMs to manage calendar events through a standardized interface.
Facilitates communication with MCP servers by providing a LangGraph agent and a CopilotKit-powered frontend.
Provides a user interface for Nx and Lerna monorepos, enhancing developer workflow and AI integration within code editors.
Auto-loads databases in VS Code and provides affordances to aid development and debugging.
Facilitates the integration of AI models into daily workflows through agent-based frameworks and command-line tools.
Automates the creation of short-form videos for platforms like TikTok, Instagram Reels, and YouTube Shorts from text inputs.
Enables Claude Code as a one-shot MCP server, allowing LLMs to directly leverage Claude's coding capabilities.
Provides a modular and extensible Python framework for building and managing Auto-GPT agents.
Automates AI-powered workflows directly within your codebase.
Integrates Azure DevOps capabilities directly into development environments by providing a local server that enables interaction with various services.
Transforms codebases into searchable knowledge bases for AI assistants, providing both semantic and regex search capabilities via the Model Context Protocol.
Enables the creation of collaborative AI agents using a visual builder or TypeScript SDK for solving complex problems.
Enhance LaTeX academic papers with an AI-powered writing assistant offering intelligent suggestions and seamless Overleaf integration.
Enables AI chatbots to directly search, explore, and analyze datasets from the French national Open Data platform, data.gouv.fr, through natural language conversations.
Indexes codebases into a persistent knowledge graph for efficient, structural exploration and analysis by AI assistants and developers.
Optimizes AI agent interaction with codebases by enabling structured retrieval and significantly reducing token usage through precise AST parsing.
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