AI & ML

This MCP server provides tools and resources for AI assistants to manage n8n workflows and executions, including listing, creating, updating, and deleting workflows, as well as monitoring their execution status.

A unified desktop management application that acts as a router for MCP servers, allowing users to organize, toggle, and log requests for multiple local and remote MCP connections through a single interface.

A coordination and messaging layer for multi-agent coding workflows, featuring Git-backed mailboxes, persistent identities, advisory file reservations to prevent merge conflicts, and AI-powered project discovery.

A robust MCP server that allows AI models to control and interact with iOS Simulators via Facebook's IDB tool. It supports UI automation, accessibility inspection, media capture, and application lifecycle management for mobile development and QA.

A high-performance, embedded Go-based rule engine framework for orchestrating components to handle data filtering, transformation, and distribution in IoT, edge computing, and automation workflows.

Makes Nx's understanding of your codebase accessible to LLMs, providing insights into the codebase architecture, project relationships and runnable tasks thus allowing AI to make precise code suggestions.

A bridge that exposes Language Server Protocol (LSP) capabilities like code navigation, diagnostics, and semantic editing to LLMs via the Model Context Protocol.

An MCP server providing comprehensive Godot engine integration for project editing, debugging, and scene management.

An AI-optimized MCP server providing semantic search over version-aware PostgreSQL manuals and opinionated best-practice skills for advanced schema design and database optimization.

The Simple Agent Development Kit.

AutoTS is an automated time series forecasting server that utilizes genetic algorithms to optimize model selection, preprocessing, and ensembling for high-accuracy predictions.

A connector that allows MCP clients to search, read, and analyze Markdown notes within an Obsidian vault or any directory of Markdown files.

An MCP server that provides structured access to Microsoft's official documentation. Retrieves accurate, authoritative, and context-aware technical content for code generation, question answering, and workflow grounding.

LitterBox is a secure sandbox platform designed for malware development and red teaming, allowing users to test payloads against detection mechanisms. It provides automated static and dynamic analysis through an MCP interface, enabling LLM agents to perform specialized security workflows.

A multi-agent academic writing assistant that integrates with Overleaf to provide literature-grounded research, AI-based conference reviews, and citation verification via an MCP-based orchestration engine.

A curated collection of top-tier penetration testing tools and productivity utilities across multiple domains. Join us to explore, contribute, and enhance your hacking toolkit!

🔌 Plug-and-play library to enable agents to call MCP and UTCP tools via code execution.

A Model Context Protocol server that allows AI assistants to control Unreal Engine 5 via natural language, enabling actor management, blueprint development, and editor viewport control.

A browser-based agent that autonomously navigates web applications to perform end-to-end testing, capture network traffic, and collect console logs for debugging.

A comprehensive MCP server that bridges AI assistants with the Unity Editor, enabling automated scene manipulation, component management, package handling, and test execution directly through natural language.

A professional-grade MCP server for interacting with Stripe's financial infrastructure, enabling AI agents to manage customers, process payments, and handle billing operations.

The Azure MCP Server provides a comprehensive bridge between AI agents and over 30 Azure services, enabling automated resource management, cloud architecture design, and database operations through a standardized interface.

A2V is a decentralized protocol and value governance layer that enables AI agents to measure, exchange, and settle economic value on-chain through MCP and X402 protocol integrations.

A robust framework for building multi-agent systems and AI pipelines, featuring support for tool calling, vectorized model operations, and fine-tuning capabilities across various LLM providers.

The official MiniMax MCP server provides advanced multimodal AI capabilities including high-quality text-to-speech, voice cloning, music generation, and state-of-the-art video and image generation via MiniMax APIs.

Official Qdrant MCP server that enables LLMs to store and retrieve semantic memories using the Qdrant vector database as a knowledge retrieval layer.

The Azure DevOps MCP Server enables local interaction with Azure DevOps services like repositories, work items, builds, and wikis directly through MCP-compatible clients.

Seamlessly integrate with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development powered by Terraform

A high-performance memory service that provides persistent, semantic context across AI sessions for Claude, Cursor, and other MCP clients. It features hybrid SQLite/Cloudflare storage, automated document ingestion, and a knowledge graph system for intelligent relationship mapping.

A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context Protocol (MCP) and enabling cross-vendor LLM API orchestration.