pulsemcp verified Safe content atomic mcp-remote

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.

Cognium trust score
93%
Tier
Verified

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
Author type
human
Last scanned
2026-09-19
Updated
2026-09-19
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Use via MCP

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
Swap --scope user for --scope project to commit it to .mcp.json.

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