chrome-devtools-mcp and openchrome

These are complements: Chrome DevTools provides low-level debugging and inspection capabilities via the Chrome DevTools Protocol, while OpenChrome wraps that protocol in an MCP server interface to enable AI agents to control Chrome browsers at a higher abstraction level.

chrome-devtools-mcp
87
Verified
openchrome
70
Verified
Maintenance 25/25
Adoption 20/25
Maturity 24/25
Community 18/25
Maintenance 13/25
Adoption 19/25
Maturity 20/25
Community 18/25
Stars: 28,511
Forks: 1,674
Downloads: 2,689,135
Commits (30d): 82
Language: TypeScript
License: Apache-2.0
Stars: 148
Forks: 23
Downloads: 9,186
Commits (30d): 0
Language: TypeScript
License: MIT
No Dependents
No risk flags

About chrome-devtools-mcp

ChromeDevTools/chrome-devtools-mcp

Chrome DevTools for coding agents

Implements a Model-Context-Protocol (MCP) server that bridges AI coding agents with Chrome's DevTools Protocol, enabling performance tracing, network inspection, and automated browser actions through Puppeteer. Supports both full-featured and lightweight ("slim") modes, integrating with agents like Claude, Gemini, and Cursor for debugging, screenshot capture, and source-mapped stack trace analysis.

About openchrome

shaun0927/openchrome

Open-source browser automation MCP server. Control your real Chrome from any AI agent.

Implements MCP server that connects directly to Chrome via Chrome DevTools Protocol (CDP), eliminating middleware overhead while maintaining real browser sessions and login state across parallel tabs. Includes 27 harness subsystems—hint engine with 30+ rules, outcome classification, pattern learning, and DOM compression achieving 15x token efficiency—that guide AI agents and prevent costly error cascades. Achieves ~300MB memory for 20 parallel sessions versus 5GB+ for traditional approaches, while remaining invisible to bot detection and enabling authenticated cross-site operations.

Scores updated daily from GitHub, PyPI, and npm data. How scores work