MCPs → AI & Models

The most-starred open-source web crawler with built-in MCP server. Extracts LLM-ready structured data from any website with async support and smart chunking.

Enables building LLM-powered applications through a multi-agent programming paradigm.

Provides structured spec-driven development workflow tools for AI-assisted software development.

Implements a Model Context Protocol server for the Notion API, enabling AI-driven interaction with Notion content.

Enables AI agents to interact with and automate Xcode projects through the Model Context Protocol.

Collects and aggregates domestic enterprise information from various sources to aid in reconnaissance tasks.

Leverage any Large Language Model to generate comprehensive, privacy-focused research reports.

Powers AI workflows on macOS with an always-on edge runtime for local and cloud models, enabling shared tools via MCP.

Integrates Confluence and Jira with Model Context Protocol for enhanced workflow automation and data accessibility.

Enables seamless integration between AI agents and the Windows operating system.

Enables programmatic interaction between Cursor AI and Figma, allowing for design reading and modification.

Facilitates adversary simulation and red team operations through a flexible platform with integrated AI.

Facilitates AI coding agent interaction and direct terminal control for iOS and macOS project development.

Automates browsers and APIs, enabling LLMs to interact with web pages for tasks like screenshot capture and JavaScript execution.

Enables integration between WhatsApp and Large Language Models via the Model Context Protocol.

Build AI-powered applications with this open-source framework for Node.js and Go.

Build and deploy open-source Model Context Protocols on Slack, Discord, and the web.

Provides a self-hosted web interface and API for interacting with large language models via llama.cpp.

Integrates powerful web scraping and content extraction capabilities into LLM clients like Cursor and Claude.

Create, customize, and engage in real-time conversations with AI characters across web, mobile, and terminal platforms.

Enables AI applications to control a user's existing browser instance.

Orchestrates automated workflows by connecting AI models with various tools and resources using MCP.

Facilitates agentic AI communication between Cursor and Figma, enabling programmatic reading and modification of design files.

Automate and solve complex problems by creating and managing multi-AI agent systems with a low-code framework.