Explore our complete collection of MCP servers to connect AI to your favorite tools.
Build and deploy open-source Model Context Protocols (MCPs) on Slack, Discord, and the web.
Automate and solve complex problems by creating and managing multi-AI agent systems with a low-code framework.
Build AI-powered applications with this open-source framework for Node.js and Go.
Integrates powerful web scraping and content extraction capabilities into LLM clients like Cursor and Claude.
Extends Claude's desktop app capabilities with terminal control, filesystem operations, and file editing.
Enables vibe reversing in IDA Pro through a Model Context Protocol server.
Enables integration between WhatsApp and Large Language Models via the Model Context Protocol (MCP).
Compares and patches JavaScript objects, generating compact deltas for efficient updates and reversions.
Extracts text and metadata from web pages and online resources, offering various output formats.
Enhances AI coding agents by providing semantic code search and deep context from an entire codebase.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript execution.
Enables programmatic interaction between Cursor AI and Figma, allowing for design reading and modification.
Accelerate the development and research of complex Retrieval-Augmented Generation (RAG) systems with a low-code, modular framework.
Facilitates adversary simulation and red team operations through a flexible platform with integrated AI.
Leverage any Large Language Model to generate comprehensive, privacy-focused research reports.
Provides an all-in-one, intelligent automation testing solution for API, UI, and performance testing across multiple platforms.
Empowers LLMs with advanced web scraping capabilities for content extraction, crawling, and search functionalities.
Generate modern UI components instantly from natural language descriptions within your IDE.
Collects and aggregates domestic enterprise information from various sources to aid in reconnaissance tasks.
Integrates Confluence and Jira with Model Context Protocol (MCP) for enhanced workflow automation and data accessibility.
Enables seamless integration between AI agents and the Windows operating system.
Port forwards Kubernetes services in bulk to your local machine, enabling seamless local development with in-cluster resources.
Enables secure execution of untrusted user-generated code and AI code.
Enables AI agents to interact with and automate Xcode projects through the Model Context Protocol.
Exposes any MCP tool as an OpenAPI-compatible HTTP server.
Generates images, text, and audio from text prompts using a free and open-source API.
Enables building LLM-powered applications through a multi-agent programming paradigm.
Provides an open-source implementation of the ChatGPT Code Interpreter using LangChain for sandboxed Python code execution.
Implements a Model Context Protocol (MCP) server for the Notion API, enabling AI-driven interaction with Notion content.
Provides structured spec-driven development workflow tools for AI-assisted software development.
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