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Enables AI-powered applications to monitor and interact with browser data via a Chrome extension and MCP.
Build AI-powered applications with this open-source framework for Node.js and Go.
Converts a codebase into a single, structured prompt suitable for large language models.
Enables vibe reversing in IDA Pro through a Model Context Protocol server.
Extends Claude's desktop app capabilities with terminal control, filesystem operations, and file editing.
Enables AI applications to control a user's existing browser instance.
Extracts text and metadata from web pages and online resources, offering various output formats.
Build and deploy open-source Model Context Protocols (MCPs) on Slack, Discord, and the web.
Create, customize, and engage in real-time conversations with AI characters across web, mobile, and terminal platforms.
Provides a self-hosted web interface and API for interacting with large language models via llama.cpp.
Enhances ChatGPT's capabilities by providing advanced custom instructions for both general conversational and specialized coding tasks.
Empowers AI agents with autonomous offensive cybersecurity capabilities by integrating over 70 professional security tools.
Enhances AI coding agents by providing semantic code search and deep context from an entire codebase.
Facilitates agentic AI communication between Cursor and Figma, enabling programmatic reading and modification of design files.
Integrates powerful web scraping and content extraction capabilities into LLM clients like Cursor and Claude.
Accelerate the development and research of complex Retrieval-Augmented Generation (RAG) systems with a low-code, modular framework.
Enhances Claude Code with a comprehensive suite of 19 specialized skills designed for full-stack development across various programming languages and frameworks.
Automate and solve complex problems by creating and managing multi-AI agent systems with a low-code framework.
Connects to diverse data sources to provide a unified context retrieval layer for AI agents and RAG systems.
Optimizes large language model interactions by significantly reducing context window data and ensuring session continuity.
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