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agent-pilot MCP Server

Brenonunesx/agent-pilot

Score: 52.3 Rank #15223 Agent Framework
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AI Agent Toolkit 2026: Smart Device Control for iOS & Android

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Overview

Brenonunesx/agent-pilot is a HTML tool. AI Agent Toolkit 2026: Smart Device Control for iOS & Android Topics: adb, agentic-ai, agents, ai-agents, android-emulator, automation, e2e-testing, expo, flutter, ios-simulator, mcp, mobile, mobile-testing, performance-optimization, react-native, testing, xcuitest.

Ranked #15223 out of 24846 indexed tools.

Ecosystem

HTML No license
adbagentic-aiagentsai-agentsandroid-emulatorautomatione2e-testingexpoflutterios-simulatormcpmobilemobile-testingperformance-optimizationreact-nativetestingxcuitest

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 120

120 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 0%

0/1 issues closed → many open issues

Contributors 10% 3

3 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 2
Description Good
License None

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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License low impact

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Freshness high impact

Last commit was 32 days ago — a recent commit would boost your freshness score

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Matched Queries

topic:mcp

From the README

# EchoTether

**CLI for Autonomous Device Orchestration & Human-in-the-Loop Telemetry**

Inspired by the concept of agent-device bridges, EchoTether extends the idea from simple device control to a full-duplex, multi-agent ecosystem where physical and virtual devices become first-class citizens in AI workflows. Instead of merely issuing commands to a phone, EchoTether enables any AI agent to lease, stream, and collaboratively debug device fleets in real time—turning each device into a sensory node that reports back state, gesture, and ambient context.

## 🧭 Overview

EchoTether is a command-line interface that reimagines device interaction as a continuous dialogue between intelligent agents and hardware. It introduces the notion of **Telemetry Loops**—bidirectional data streams where agents not only send actions (touch, swipe, type) but also receive raw sensor hints (accelerometer, gyro, ambient light) and UI tree diffs. This transforms AI agent–device interactions from monolithic aut
Read full README on GitHub →

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