Android Proxy MCP
Android packet capturing MCP service, capturing HTTP/HTTPS traffic through a proxy and supporting AI assistant query and analysis of network requests
rating : 2.5 points
downloads : 6.1K
What is Android Proxy MCP?
Android Proxy MCP is an intelligent packet capturing tool that allows AI assistants (such as Claude) to access and analyze the network traffic of Android devices through the Model Context Protocol (MCP). You only need to set up a proxy on your phone, and then you can use natural language to ask the AI to analyze network requests, such as finding specific interfaces, analyzing API parameters, or searching response content.How to use Android Proxy MCP?
The usage is divided into four main steps: 1) Start the proxy service on your computer; 2) Configure the Wi-Fi proxy on your phone; 3) Install the CA certificate to capture HTTPS traffic; 4) Query and analyze the traffic through natural language in Claude. The whole process does not require writing complex filtering rules, and the AI will understand your needs and return relevant results.Applicable scenarios
Suitable for mobile app developers, security researchers, product managers, or anyone who needs to analyze the network behavior of Android apps. Common scenarios include: API interface analysis, network performance debugging, data leakage detection, competitor analysis, automated testing, etc.Main features
Intelligent traffic capture
Automatically capture HTTP/HTTPS traffic, supporting filtering and screening requests by domain name, status code, resource type, and other methods.
AI-driven intelligent search
Search request and response content through natural language, supporting multi-dimensional searches such as URL, request headers, request body, response headers, and response body.
Large response fragment reading
Intelligently handle large response bodies, supporting fragment reading to avoid the problem of MCP message size limitation.
HTTPS decryption support
Support HTTPS traffic decryption, providing detailed certificate installation guides and SSL Pinning bypass solutions.
SQLite data storage
Use the SQLite database to store traffic data, ensuring data persistence and fast querying.
Natural language interaction
Interact with the AI assistant completely through natural language, without the need to learn complex command-line parameters or filtering syntax.
Advantages
No technical background required: Complete complex traffic analysis tasks through natural language
Intelligent filtering: The AI understands your intentions and automatically applies appropriate filtering conditions
Integrated solution: A complete workflow from proxy setup to data analysis
Cross-platform support: Support multiple Android versions and devices
Open source and free: Based on the MIT license, can be freely used and modified
Limitations
Root permission required: Some advanced functions (such as system certificate installation) require a rooted device
HTTPS limitation: User certificates are not trusted by apps by default on Android 7+
SSL Pinning: Some apps use certificate pinning, requiring additional tools to bypass
Network requirement: The phone and computer must be on the same Wi-Fi network
Real-time performance: Non-real-time analysis, requiring traffic to be captured first and then queried
How to use
Environment preparation
Ensure that Python 3.11+ and the uv package manager are installed on your computer. Clone the project and install the dependencies.
Configure Claude Desktop
Edit the Claude Desktop configuration file and add the MCP server configuration.
Start the proxy service
Run the startup script in the terminal to obtain the proxy server address and port.
Configure the phone proxy
Configure a manual proxy in the phone's Wi-Fi settings, using the IP and port displayed by the startup script.
Install the CA certificate
Access http://mitm.it in the phone browser to download and install the CA certificate to support HTTPS traffic decryption.
Start using
Restart Claude Desktop and start querying and analyzing network traffic using natural language.
Usage examples
API interface analysis
Analyze the API interface structure and parameters of an app to understand its data interaction method.
Error troubleshooting
Find network errors or failed requests in the app to help debug problems.
Data search
Search for specific data content, such as user information and keywords, in a large number of network requests.
Performance analysis
Analyze the time-consuming and performance of network requests to find bottlenecks.
Security audit
Check if there is insecure network communication in the app, such as plaintext transmission of sensitive data.
Frequently Asked Questions
What should I do if I can't access the Internet after configuring the proxy on my phone?
I can capture HTTP traffic but not HTTPS traffic. What should I do?
I installed the certificate, but some apps still can't capture HTTPS traffic. What should I do?
How to bypass SSL Pinning (certificate pinning)?
The response is too large, and Claude cannot display the full content. What should I do?
Will packet capturing affect the phone's network speed?
How to stop packet capturing?
Does it support iOS devices?
Related resources
Project GitHub repository
Source code, issue feedback, and contribution guidelines
MCP official documentation
Official documentation and specifications of the Model Context Protocol
mitmproxy documentation
Detailed documentation of the underlying proxy tool mitmproxy
Magisk project
Android Root solution for advanced features
LSPosed framework
Android module framework for bypassing SSL Pinning
Video tutorial
Video tutorial on installing and using Android Proxy MCP

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