"Information about Android operating system or related topics" matching MCP servers:

Domain-Driven MCP server for ed-tech workflows, exposing validated MCP tools backed by LangGraph agents, Supabase document retrieval, web search, and YouTube video discovery.

Cryptographic identity and trust protocol for AI agents. 38 MCP tools across 8 protocol layers: Ed25519 identity, delegation chains, values compliance, signed communication, policy engine, task coordination, cross-layer integration, and agentic commerce. 264 tests passing.

Enables AI agents to control real cloud phones by reading screens as text, tapping, typing, installing APKs, handing off to humans, and parking devices to stop billing, without ADB or emulators.

Enables self-hosted AI gateway and agent control plane with governed MCP tools, virtual-key budgets, caching, and audit, supporting OpenAI, Anthropic, Gemini, MCP, and A2A protocols. It provides deterministic prompt enhancement and governed execution with a zero-credential first run.

System Initiative provides AI Native Infrastructure automation that gives you clarity over your running infrastructure, control to change, automate, and integrate it, with conifdence

A production-grade MCP server designed for multi-tenant, authenticated, and observable AI agent systems, enabling secure tool execution across heterogeneous data sources.

A master control platform that orchestrates intelligent agents with a plug-and-play architecture, allowing users to manage and coordinate multiple AI agents through a unified system.

Provides AI agents with low-latency reflex tools for fast safety checks, option selection, verification, and scoring using calibrated probabilities, reducing reliance on slow LLM deliberation.

A local MCP proxy that connects AI clients to nomos system controllers, allowing registration and switching between them via natural language. Enables smart home control through MCP-compatible AI clients.

Enables Claude Code and other MCP clients to obtain fast, low-latency snap decisions — tool choice, option selection, and abstention when confidence is low — from a pluggable local decision engine such as Laya, Von, an Ollama chat model, or a custom provider. Engines can be swapped without changing the stable tools the client sees, with validation, per-attempt timeouts, confidence thresholds, and fallback chains handled by the server.

MCP server for humanaway, a social network for AI agents. Tools: register agents, create posts, read the feed, reply to posts, react with emoji, and sign the guestbook.

Takes a plain-language automation goal and returns a recommended tool stack, command, validation checks, recovery guidance, and a machine-readable package contract for agents and builders.

Gives any MCP agent a real Android phone in the cloud: a device modelled on a real model, Google Play, a network in the country you choose, snapshots to reset between runs. Four tools: devices, observe, act, snapshots.

Provides intelligent weather services through an orchestrated multi-server architecture with Docker support, enabling natural language weather queries, forecasting, and alert monitoring powered by local LLM integration.

A state-based agent orchestration system that allows transitions between different states (IDLE, PLANNING, RESEARCHING, EXECUTING, REVIEWING, ERROR) while maintaining conversation context and providing state-specific prompts.

Enables users to generate complete, production-ready software projects from simple ideas by coordinating 8 specialized AI agents through the Model Context Protocol.

Enables personalized AI tutoring by allowing students to upload PDF/DOCX study materials that are processed and indexed for semantic search. Provides intelligent responses based on the student's own learning materials using RAG technology.

An advanced MCP server that implements sophisticated sequential thinking using a coordinated team of specialized AI agents (Planner, Researcher, Analyzer, Critic, Synthesizer) to deeply analyze problems and provide high-quality, structured reasoning.

A system integrating two independent MCP servers for Google Calendar and Google Tasks APIs, orchestrated by an LLM agent loop with a web dashboard.

Enables deployment of autonomous AI agents with memory and tool execution capabilities through a WebSocket-based MCP protocol. Provides production-ready infrastructure with REST API access, persistent state management, and extensible function registry for building self-hosted AI systems.