smart-data-extractor
Server Details
smart-data-extractor MCP server on Cloudflare Workers · REST + MCP JSON-RPC · free tier
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- lazymac2x/smart-data-extractor-worker
- GitHub Stars
- 0
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Tool Definition Quality
Average 3.3/5 across 4 of 4 tools scored.
Tools are mostly distinct: auto_schema_learn for schema inference, batch_extract for multiple sources, extract_from_api for API responses, extract_from_url for URL content. Some overlap possible between extract_from_api and extract_from_url if API is accessed via URL, but descriptions clarify different contexts.
Naming pattern is inconsistent: 'auto_schema_learn' uses noun_verb order, while 'batch_extract' and 'extract_from_*' start with verb. 'batch_extract' lacks preposition, unlike the other extract tools. Mix of styles reduces predictability.
With 4 tools, the server is slightly lean but still covers core extraction scenarios (single source, multiple sources, schema learning). Could justify adding one or two more tools for broader coverage, but current count is reasonable.
The tool set covers schema learning and extraction from APIs and URLs, and batch processing. However, missing dedicated tools for single non-URL/api source extraction (e.g., file upload) and no data manipulation or export functionality creates noticeable gaps for a 'data extractor' server.
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{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
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