Pyppeteer Browser Automation
MCP Servers with Pyppeteer enables AI assistants to control headless browsers for web automation tasks through the Multi-Context Protocol framework. Developed by Alexandre E Souza, it provides capabilities for automated navigation, screenshot capture, element interaction using CSS selectors or XPath, and access to dynamic page information. The implementation runs as a Python package that can be installed via pip or directly from GitHub, and includes Docker support for containerized deployment. It's particularly valuable for workflows requiring web scraping, UI testing, or any scenario where programmatic browser control enhances AI assistant capabilities.
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
- version-control
- Source
- PulseMCP
- Repository
- github.com/devalexandre/mcp-servers
- Author type
- human
- Updated
- 2026-06-11
Use via MCP
Resolve Pyppeteer Browser Automation 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.