E2E Browser Automation
E2E-MCP provides a server for running end-to-end tests using browser automation through the Model Context Protocol. Built with Python, it integrates with LLM providers like OpenAI and Anthropic to power an agent that can interact with web browsers using the browser-use library. The implementation allows for headless or visible browser operation, making it ideal for AI-assisted web testing, content extraction, and automated browsing workflows. The server can be debugged using the MCP inspector tool and is designed to enhance 'Vibe Coding' workflows in AI IDEs like Cursor or Windsurf.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- browser-automation
- Source
- PulseMCP
- Repository
- github.com/m2rads/limetest
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve E2E 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.