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Docker curated MCP registry entry
Handwriting OCR 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 Handwriting OCR to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
docker run -i --rm mcp/handwriting-ocrReview the upstream source before running this command.
{
"raw": "name: handwriting-ocr\nimage: mcp/handwriting-ocr\ntype: server\nmeta:\n category: devops\n tags:\n - handwriting-ocr\n - devops\nabout:\n title: Handwriting OCR\n icon: https://avatars.githubusercontent.com/u/202432073?s=200&v=4\nsource:\n project: https://github.com/Handwriting-OCR/handwriting-ocr-mcp-server\n commit: 1b81cd90103265eac82d4a441fe669e6c7ccf03a\nconfig:\n secrets:\n - name: handwriting-ocr.api_token\n env: API_TOKEN\n example: your-api-token\n",
"path": "servers/handwriting-ocr/server.yaml"
}