pulsemcp Safe content atomic mcp-remote

Steel Puppeteer

This MCP server, developed by Steel, integrates Puppeteer with the Steel SDK for browser automation. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides a bridge between AI models and web browsing capabilities. The implementation stands out by combining Steel's automation features with Puppeteer's powerful browser control, enabling complex web interactions and data extraction. It's particularly useful for developers and researchers working on AI-assisted web scraping, testing, or content generation tasks that require sophisticated browser manipulation and automation.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: browser-automation
Source: PulseMCP
Repository: github.com/steel-dev/steel-mcp-server
Author type: human
Updated: 2026-04-25

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MCP

Resolve Steel 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

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

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"