Experience a streamlined approach to browser automation with Chrome DevTools MCP. This quickstart demo leverages AI agents to interact directly with your website's functionality using structured tool calls, reducing token usage by up to 89% compared to traditional screenshot-based workflows.
Overview
The Chrome DevTools MCP Quickstart project demonstrates how to leverage Chrome DevTools for AI-driven browser automation through the WebMCP framework. This unique approach allows AI agents to interact directly with a website's functionalities via structured tool calls instead of traditional methods like DOM scraping or screenshot capturing.
Key Benefits
Utilizing the Chrome DevTools MCP can lead to up to 89% reduction in token usage compared to screenshot-based workflows, making it not only more efficient but also cost-effective.
How It Works
The architecture is straightforward and consists of:
- An AI Client that communicates with Chrome DevTools MCP.
- The MCP exposes functionalities that connect directly with your WebMCP tools.
flowchart LR
A[AI Client] --> B[Chrome DevTools MCP]
B -->|CDP| C[Your Website]
C -->|mcp-b/global| D[navigator.modelContext]
B -.->|list_webmcp_tools| E[Discovers tools]
B -.->|call_webmcp_tool| F[Executes tools]
Getting Started
To begin using the project:
- Clone and run the project:
git clone https://github.com/WebMCP-org/chrome-devtools-quickstart.git cd chrome-devtools-quickstart npm install && npm run dev - Integrate MCP server with your AI client:
For example, if using the Claude AI Client, add the following command:claude mcp add chrome-devtools npx @mcp-b/chrome-devtools-mcp@latest - Test the configuration:
Use a simple command like:"Navigate to http://localhost:5173, list available WebMCP tools, and set the counter to 42"
This demonstrates the AI's ability to execute tasks seamlessly.
Example Tools
The project includes several example tools implemented in counter.js:
get_page_title: Retrieves the title of the current page.get_counter: Fetches the current value of a counter.set_counter: Updates the counter to a specified value.
Efficient Development Loop
Maintain rapid development cycles where the AI can write, test, and refine code directly within the editor, enabling:
flowchart TD
A[AI writes tool] --> B[Vite hot-reloads]
B --> C[AI navigates to page]
C --> D[AI tests tool]
D --> E{Works?}
E -->|No| A
E -->|Yes| F[Done!]
Conclusion
The Chrome DevTools MCP enhances browser automation like never before, combining AI capabilities with structured WebMCP tools for a revolutionary approach to website interactions. This repository serves as a powerful quickstart guide for developers looking to integrate advanced automation into their projects.
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