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Docker curated MCP registry entry
ScrapeGraph is an MCP server entry in ChatHome Skills, sourced from Docker MCP Registry and scored 86/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding ScrapeGraph to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
docker run -i --rm mcp/scrapegraphReview the upstream source before running this command.
{
"raw": "name: scrapegraph\nimage: mcp/scrapegraph\ntype: server\nmeta:\n category: devops\n tags:\n - scrapegraph\n - devops\nabout:\n title: ScrapeGraph\n icon: https://avatars.githubusercontent.com/u/171017415?s=200&v=4\nsource:\n project: https://github.com/ScrapeGraphAI/scrapegraph-mcp\n commit: 3579efb4afc8b23a7a968021995a321142118bfc\nconfig:\n secrets:\n - name: scrapegraph.api_key\n env: SGAI_API_KEY\n example: YOUR_SGAI_API_KEY\n",
"path": "servers/scrapegraph/server.yaml"
}