Puppeteer
This Puppeteer-based MCP implementation provides a powerful interface for language models to interact with web browsers. Developed by Anthropic, it enables AI agents to perform a wide 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 Puppeteer's Chrome/Chromium automation, it ensures high-fidelity web interactions. 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 involving web automation.
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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · 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
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Puppeteer 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.