affaan-m/ECC
ECC is a comprehensive agent harness performance optimization system providing skills, instincts, memory, security, and research-first development for various AI agent harnesses including Claude Co...
mobile-next/mobile-mcp
Mobile Next is a Model Context Protocol (MCP) server designed to enable scalable and platform-agnostic mobile automation and development across various mobile environments including iOS, Android, emulators, simulators, and physical devices. It leverages structured accessibility data and screenshot-based interactions to facilitate native app automation without requiring specific knowledge of iOS or Android platforms. The server supports interaction through accessibility snapshots or coordinate-based taps derived from screenshots, making it compatible with both accessibility tree data and visual screen analysis. Mobile Next is optimized for fast and lightweight operation, using native accessibility trees for most interactions and falling back to screenshot-based coordinates when accessibility labels are unavailable. It is designed to be LLM-friendly, requiring no computer vision models for accessibility snapshots, and incorporates visual sense capabilities to analyze what is rendered on the screen to determine the next action. This approach reduces ambiguity by relying on structured data whenever possible, enabling deterministic tool application. The server supports extracting structured data from anything visible on the screen, facilitating complex multi-step user journey automation driven by large language models (LLMs). It enables agent-to-agent communication for mobile automation use cases and data extraction, supporting scripted flows and form interactions without manual control of devices. The architecture supports integration with various MCP clients and IDEs, allowing AI assistants to use available tools for UI interaction, testing, and workflow automation. The project provides detailed documentation, setup guides, and example prompts to help users automate tasks such as app installation, interaction, data extraction, and multi-step workflows on mobile devices. It requires prerequisites like Xcode command line tools, Android platform tools, Node.js v22+, and MCP-supported foundational models or agents. Overall, Mobile Next offers a comprehensive solution for scalable, cross-platform mobile automation leveraging the Model Context Protocol.
https://github.com/mobile-next/mobile-mcp
Also in Agent Platforms
open-webui/open-webui
Open WebUI is a self-hosted, extensible AI platform supporting multiple LLM runners and OpenAI-compatible APIs with advanced features like Retrieval Augmented Generation, model building, and offline deployment.
Mintplex-Labs/anything-llm
AnythingLLM is an all-in-one AI application with full MCP compatibility that enables intelligent chat interactions with documents using various LLMs, multi-user support, and no-code AI agent building capabilities.
aaif-goose/goose
goose is an open-source, extensible AI agent providing desktop, CLI, and API interfaces for code, workflows, and general tasks, featuring broad LLM provider compatibility and connection to MCP exte...
HKUDS/nanobot
nanobot is an ultra-lightweight, open-source, self-hosted personal AI agent framework in Python, offering a WebUI, tools, memory, MCP integration, multi-agent workflows, automation, and chat app co...
zhayujie/CowAgent
CowAgent is an open-source, multi-model AI assistant and Agent Harness designed for autonomous task planning, tool execution, and continuous learning, featuring native Model Context Protocol (MCP) ...
sickn33/agentic-awesome-skills
This project provides an installable GitHub library and npm installer for over 1,900 agentic skills and playbooks, designed to enhance AI coding assistants like Claude Code, Gemini CLI, Cursor, and...
danny-avila/LibreChat
LibreChat is an open-source enhanced ChatGPT clone that integrates multiple AI models and supports the Model Context Protocol (MCP) for advanced AI assistant features including no-code agents, secure code execution, multimodal interactions, and customizable conversation management.