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Enables AI-powered applications to monitor and interact with browser data via a Chrome extension and MCP.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
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.
Transforms any GitHub project into a documentation hub accessible to AI tools, preventing hallucinations by providing accurate and up-to-date context.
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.
Integrate local Claude Code installations with Google NotebookLM to retrieve source-grounded, citation-backed answers from your uploaded documents.
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.
Automates machine learning research workflows, including idea generation, experiment execution, and iterative paper review and refinement.
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