Playwright
This Playwright-based MCP implementation, developed by Automata Labs, provides a robust interface between language models and web browsers. It enables AI agents to perform a comprehensive range of browser automation tasks including navigation, clicking, form filling, and JavaScript execution in real browser environments. The implementation distinguishes itself by offering screenshot capabilities and console log monitoring, making it ideal for visual AI tasks and debugging. By leveraging Playwright's cross-browser support, it ensures compatibility across major browsers. This tool is particularly powerful for AI-driven web testing, data scraping, and automated web interactions, enabling more sophisticated AI assistants that can directly manipulate web applications. Its integration with Claude Desktop and npm-based installation process make it easily accessible for developers and researchers working on advanced AI projects.
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 Playwright 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.