Chrome DevTools
This MCP server provides AI assistants with direct control over Chrome browsers through Chrome DevTools, enabling reliable web automation, debugging, and performance analysis using Puppeteer for browser control and Chrome DevTools for trace recording. Built by Google with TypeScript, it offers 26 tools across categories including input automation (clicking, filling forms, drag-and-drop), navigation (page management, history), network analysis (request inspection, throttling), performance tracing with Chrome DevTools insights, console debugging, and screenshot/snapshot capabilities. The implementation uses accessibility tree snapshots for reliable element targeting, automatically waits for page events after actions, supports CPU and network emulation for testing, and integrates Chrome's performance trace engine for actionable insights, making it valuable for automated testing workflows, web debugging, performance optimization, and building AI assistants that need to interact with live web applications through a real browser environment.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- browser-automation
- Source
- PulseMCP
- Author type
- human
- Updated
- 2026-05-27
Use via MCP
Resolve Chrome DevTools from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.