agent-droid-bridge▌
by Neverlow512
Agent Droid Bridge gives AI agents programmatic control over Android devices and emulators via ADB, exposed as an MCP se
An MCP server that connects AI agents to Android devices and emulators over ADB for mobile automation, app testing, and reverse engineering.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / General purpose MCP workflows
capabilities
- / get_ui_hierarchy
- / take_screenshot
- / tap_screen
- / swipe_screen
- / type_text
- / press_key
what it does
An MCP server that connects AI agents to Android devices and emulators over ADB for mobile automation, app testing, and reverse engineering.
about
agent-droid-bridge is a community-built MCP server published by Neverlow512 that provides AI assistants with tools and capabilities via the Model Context Protocol. Agent Droid Bridge gives AI agents programmatic control over Android devices and emulators via ADB, exposed as an MCP se It is categorized under search web. This server exposes 13 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install agent-droid-bridge in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
agent-droid-bridge is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Agent Droid Bridge
Agent Droid Bridge is an MCP server that connects AI agents to Android devices and emulators over ADB. It is built for mobile automation, app testing, dynamic analysis, and reverse engineering: exposing the full surface of ADB as structured tools that any MCP-compatible AI client can call directly. If ADB can do it, an agent can do it.
⭐ If you like the project, a star helps others find it. ⭐
Note: Purpose-built tools return structured, minimal responses instead of raw XML dumps, keeping agent workflows fast and context consumption low, while keeping performance high.
Demo
The demo above runs through a few straightforward tasks to show what a connected agent can do, and this is just scratching the surface:
- Installs the Paint app, opens it, and draws a house by calculating pixel coordinates for the walls and roof
- Opens the device browser, searches for "MCP Wikipedia", navigates to the result page, and takes a screenshot
- Opens the Calculator, computes 1337 × 42, and extracts the result to the host machine
- Opens Contacts, creates a new entry with a name and phone number, and confirms it saved
- Opens the Calendar and schedules an appointment for a specific date
- Opens Settings and toggles dark mode
- Extracts the Calculator APK from the device to the host machine
- Installs Notepad, writes a one-sentence summary of every task completed, and takes a final screenshot
What it does
- Exposes 13 MCP tools covering screen capture, UI inspection, screen reading, element extraction, touch and swipe input, text entry, keycode events, app launching, and arbitrary ADB commands
- Auto-detects the connected device when only one is present; presents a device list and requires the user to choose when multiple are connected
- All commands parsed via
shlex— no shell injection possible - Runs over stdio, compatible with any MCP-capable AI client
- Purpose-built screen reading and element extraction tools return structured, minimal responses — a fraction of the size of a raw XML hierarchy — keeping agent context lean across long automation runs
- Two execution modes:
unrestricted(default, with optional shell denylist) andrestricted(allowlist-only — only explicitly permitted shell commands are allowed); setADB_EXECUTION_MODE=restrictedto enable - Set
ADB_ALLOW_SHELL=falseto block alladb shellcommands entirely, regardless of mode - Add tool names to
tools.deniedinadb_config.yamlto hide specific MCP tools from the agent at server startup — all filtering enforced at the server level
Install
uvx agent-droid-bridge
No cloning or virtual environments needed. Requires Python 3.11+ and ADB installed on your host.
uvx is provided by uv. If you don't have it: curl -LsSf https://astral.sh/uv/install.sh | sh
To install from source instead, see docs/setup.md — Option B.
To verify the install: uvx agent-droid-bridge --help
Quick start
- Install ADB — see docs/setup.md for platform-specific instructions
- Connect an Android device or start an emulator
- Add the server to your MCP client config:
{
"mcpServers": {
"agent-droid-bridge": {
"command": "uvx",
"args": ["agent-droid-bridge"],
"env": {
"ADB_EXECUTION_MODE": "unrestricted",
"ADB_ALLOW_SHELL": "true"
}
}
}
}
- Prompt your agent to use the
agent-droid-bridgeMCP tools
Full setup guide: docs/setup.md
Tools
| Tool | What it does |
|---|---|
get_ui_hierarchy | Returns the current screen as an XML UI hierarchy |
take_screenshot | Captures the screen as a base64-encoded PNG |
tap_screen | Sends a tap gesture at pixel coordinates |
swipe_screen | Sends a swipe gesture between two points over a given duration |
type_text | Types text into the focused input field |
press_key | Sends an Android keycode event (Back, Home, Enter, etc.) |
launch_app | Launches an app by its package/activity component name |
execute_adb_command | Runs an arbitrary ADB or ADB shell command |
list_devices | Lists all Android devices currently visible to ADB with their serial, state, and model |
snapshot_ui | Takes a lightweight UI snapshot and returns a token for use with detect_ui_change |
detect_ui_change | Polls for a UI change after an action; accepts a snapshot token as baseline; returns hierarchy only when requested |
get_screen_elements | Parses the UI hierarchy and returns structured elements with coordinates and interaction properties; supports tappable, interactive, input, and all modes |
get_screen_text | Returns all visible text on screen sorted top-to-bottom, as plain text |
Full parameter reference: docs/tools.md
Configuration
The server is configurable via adb_config.yaml and environment variables. Tuneable parameters include the ADB binary path, command timeouts, log level, execution mode, shell filtering rules, and tool visibility. Full reference: docs/configuration.md.
Documentation
| File | Description |
|---|---|
| docs/setup.md | Prerequisites, installation, and MCP client configuration |
| docs/tools.md | Full parameter reference for all 13 tools |
| docs/configuration.md | Reference for adb_config.yaml and environment variables |
Contributing
Contributions are welcome. See CONTRIBUTING.md for guidelines on setup, code standards, and submitting pull requests.
To report a security vulnerability, follow the process in SECURITY.md — do not open a public issue.
Star History
<!-- mcp-name: io.github.Neverlow512/agent-droid-bridge -->FAQ
- What is the agent-droid-bridge MCP server?
- agent-droid-bridge is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for agent-droid-bridge?
- This profile displays 74 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Web Research & Information Gathering
Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Content Monitoring & Alerts
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Data Extraction & Aggregation
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
API-less Integration
Interact with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Implementation Guide▌
Prerequisites
- ›Claude Desktop or Cursor with MCP support
- ›Understanding of web scraping ethics and robots.txt
- ›Rate limiting awareness to avoid overwhelming target sites
- ›Knowledge of legal restrictions on data collection
Time Estimate
20-40 minutes including configuration and testing
Installation Steps
- 1.Install web automation MCP server via npm or pip
- 2.Configure allowed domains and rate limits in MCP config
- 3.Test with simple fetch: 'Get content from example.com'
- 4.Progress to extraction: 'Extract all product prices from this page'
- 5.Set up monitoring: 'Check this URL daily for changes'
- 6.Parse structured data: 'Create CSV from this table'
- 7.Respect robots.txt and rate limits always
Troubleshooting
- ⚠403 Forbidden: Website blocks bots—respect their wishes, use official API instead
- ⚠Rate limit errors: Slow down requests, add delays between fetches
- ⚠Stale data: Target site changed HTML structure—update selectors
- ⚠Timeout errors: Site is slow or blocking—increase timeout, try different user agent
- ⚠JavaScript-rendered content: Use headless browser MCP servers for dynamic sites
Best Practices▌
✓ Do
- +Check robots.txt and respect crawl rules
- +Rate limit requests: 1-2 requests/second maximum
- +Use official APIs when available instead of scraping
- +Identify your bot with descriptive user agent
- +Cache results to minimize repeated requests
- +Handle errors gracefully with retries and fallbacks
- +Validate extracted data for accuracy
✗ Don't
- −Don't scrape sites that explicitly forbid it (robots.txt, ToS)
- −Don't overwhelm servers with rapid requests—use rate limiting
- −Don't scrape personal data without consent and legal basis
- −Don't ignore copyright on extracted content
- −Don't assume HTML structure is stable—handle changes
- −Don't use scraped data for commercial purposes without permission
💡 Pro Tips
- ★Use CSS selectors or XPath for robust data extraction
- ★Set up monitoring alerts for extraction failures (structure changed)
- ★Implement exponential backoff for retries on failures
- ★Store raw HTML for reprocessing if extraction logic changes
- ★Combine with data analysis tools for insights from extracted data
- ★Consider using official APIs or RSS feeds as more stable alternatives
Technical Details▌
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
- HTTP/HTTPS
- WebSocket (for real-time sites)
- Puppeteer/Playwright (for JavaScript sites)
Compatibility
- Static HTML sites
- JavaScript-rendered SPAs (with headless browser)
- REST APIs
- GraphQL endpoints
When to Use This▌
✓ Use When
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid When
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.
Integration▌
- →Scheduled monitoring with change detection
- →Multi-source data aggregation pipelines
- →Fallback to web scraping when API rate limits hit
- →Headless browser for JavaScript-heavy sites
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★74 reviews- ★★★★★Chinedu Dixit· Dec 28, 2024
We evaluated agent-droid-bridge against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Maya Ghosh· Dec 28, 2024
agent-droid-bridge is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Aarav Singh· Dec 20, 2024
Strong directory entry: agent-droid-bridge surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Aarav Robinson· Dec 16, 2024
agent-droid-bridge has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Chinedu Rao· Dec 16, 2024
Useful MCP listing: agent-droid-bridge is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Noah Thompson· Dec 16, 2024
agent-droid-bridge reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Maya Patel· Nov 19, 2024
Useful MCP listing: agent-droid-bridge is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Maya Torres· Nov 19, 2024
agent-droid-bridge is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Aarav Zhang· Nov 11, 2024
I recommend agent-droid-bridge for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Yash Thakker· Nov 7, 2024
agent-droid-bridge reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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