Browse MCPs

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.

Injects version-specific library documentation directly into prompts, eliminating hallucinated APIs. Two tools: resolve-library-id and query-docs. The most-starred MCP server on GitHub.

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

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

Exposes any MCP tool as an OpenAPI-compatible HTTP server.

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.

Provides an all-in-one, intelligent automation testing solution for API, UI, and performance testing across multiple platforms.

Generates images, text, and audio from text prompts using a free and open-source API.

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

Enables scalable mobile automation through a platform-agnostic interface for interacting with native iOS/Android applications.

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.

Generate modern UI components instantly from natural language descriptions within your IDE.

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.

Compares and patches JavaScript objects, generating compact deltas for efficient updates and reversions.

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

Accelerate the development and research of complex Retrieval-Augmented Generation systems with a low-code, modular framework.

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

Automates machine learning research workflows, including idea generation, experiment execution, and iterative paper review.