Official Model Context Protocol (MCP) server for HiveFlow that connects AI assistants like Claude and Cursor directly to the HiveFlow automation platform for seamless flow management and execution.

Graphlit MCP Server enables integration between MCP clients and the Graphlit service, providing a searchable RAG-ready knowledge base across developer tools with built-in web crawling, search, and extensive data connectors.

GoLogin MCP Server enables AI assistants to manage browser profiles and automation through natural language. Connect to GoLogin API to create, configure, and control browser profiles with proxy and fingerprint management.

GitKraken CLI (gk) brings GitKraken's powerful features to the command line, enabling multi-repository management with Work Items, AI-powered commit messages, and pull request generation across macOS, Windows, and Unix systems.

GitHub MCP Server connects AI tools directly to GitHub's platform, enabling AI agents to read repositories, manage issues and PRs, analyze code, and automate workflows through natural language interactions.

foreverVM provides a secure API for running arbitrary, stateful Python code with persistent machines that automatically swap between memory and disk when idle.

ESP RainMaker MCP Server provides a Model Context Protocol wrapper for the esp-rainmaker-cli library, enabling AI systems to control ESP RainMaker IoT devices through natural language interfaces with secure cloud-backed local operation.

Dynatrace MCP Server enables real-time observability integration with the Dynatrace platform, bringing production-level monitoring, security insights, and AI-powered query capabilities directly into development workflows.

Dumpling AI MCP Server is a Model Context Protocol implementation that integrates with Dumpling AI for data scraping, content processing, knowledge management, AI agents, and secure code execution capabilities.

Defang CLI and MCP Server enable developers to deploy applications from Docker Compose to secure cloud infrastructure in minutes. Supports multiple cloud providers and offers AI integration for streamlined development workflows.

Official MCP server for Debugg AI, providing AI-powered development and testing toolkit with zero-config E2E testing, live session monitoring, and comprehensive test management capabilities.

Daytona provides secure and elastic infrastructure for running AI-generated code with isolated sandbox environments, sub-90ms creation times, and programmatic control via Python and TypeScript SDKs.