pulsemcp Safe content atomic mcp-remote

ScreenshotOne

This MCP server implementation provides a bridge to ScreenshotOne's API, enabling the rendering of website screenshots through the Model Context Protocol. Developed by Dmytro Krasun, it offers a simple tool for capturing visual representations of web pages as images. The server is designed to work with Node.js environments and utilizes the @modelcontextprotocol/sdk for MCP compatibility. It's particularly useful for AI assistants, web developers, and content creators who need to programmatically generate website screenshots for tasks such as visual testing, content monitoring, or creating visual references of web pages without manual intervention.

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: media
Source: PulseMCP
Repository: github.com/screenshotone/mcp
Author type: human
Updated: 2026-04-25

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MCP

Resolve ScreenshotOne 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"