Playwright
This Playwright-powered MCP server, developed by YUNYING, enables AI assistants to interact with web browsers through the Model Context Protocol. Built in Python, it provides a bridge between MCP clients and Playwright's browser automation capabilities, allowing operations like navigation, screenshots, clicks, and JavaScript execution. The implementation leverages libraries such as MCP for protocol handling and Playwright for browser control. By abstracting browser interactions into MCP-compatible tools, it allows AI systems to easily perform web automation tasks without directly handling browser complexities. This server is particularly useful for scenarios requiring AI-driven web scraping, testing, or content generation, facilitating use cases such as automated data collection, UI testing, and dynamic web content creation.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
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
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
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.