
espresso-mcp
espresso-mcp
README
espresso-mcp
A MCP Server for the Espresso Android Test Framework, designed to enhance testing capabilities and streamline development workflows.
<a href="https://glama.ai/mcp/servers/@vs4vijay/espresso-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@vs4vijay/espresso-mcp/badge" /> </a>
Installation
- Python 3.x
- uv:
pip install uv
uv tool install espresso-mcp
Usage
- On Claude: Add below JSON config to the file
claude_desktop_config.json
{
"mcpServers": {
"terminal": {
"command": "uv",
"args": ["pip", "run", "espresso-mcp", "--timeout-ms", "30000"]
}
}
}
Available Tools
The following tools are available in the espresso-mcp
project:
- list_avds: List all available Android Virtual Devices (AVDs).
- list_emulators: List all running Android Emulators.
- start_emulator: Start an Android Emulator by name.
- kill_emulator: Kill a specific Android Emulator.
- dump_ui_hierarchy: Dump the UI hierarchy of the connected Android device.
- open_uri: Open a URI on the connected Android device.
- list_apps: List all installed apps on the connected Android device.
- install_app: Install an APK on the connected Android device.
- start_app: Start a specific app on the connected Android device.
- stop_app: Stop a specific app on the connected Android device.
- uninstall_app: Uninstall an app from the connected Android device.
- clear_app_data: Clear app data for a specific app on the connected Android device.
- take_screenshot: Take a screenshot of the connected Android device.
- record_screen: Record the screen of the connected Android device for a specified duration.
- press_button: Simulate a button press on the connected Android device.
- type_text: Type text on the connected Android device.
- tap: Simulate a tap on the connected Android device at specific coordinates.
- swipe: Perform a swipe gesture in a specific direction on the connected Android device.
Resources
The following resources are available:
- config://app: Retrieve static configuration data.
- greeting://{name}: Get a personalized greeting.
Local Setup
- Python 3.x
- uv:
pip install uv
# Install dependencies
uv sync
# OR
uv sync --frozen --all-extras --dev
# Run Server
uv run espresso-mcp
# Run in Dev Mode
uv run mcp dev server.py
Debugging
- Use MCP Inspector
# Install MCP Inspector
yarn global add @modelcontextprotocol/inspector
# Test MCP Server
yarn run @modelcontextprotocol/inspector python server.py
Testing and Linting
uv run pytest
uv run ruff check
Publishing
# Build the package
uv build
# Upload to PyPI
uv publish
Developement Notes
uv init espresso-mcp
uv add "mcp[cli]"
uv run mcp dev server.py
uv tool run espresso-mcp
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.