73
/ 100
1 day ago
glama
scrapedatshi-mcp
Enables Claude to scrape, crawl, extract data, and sync to vector databases using scrapedatshi's RAG pipeline, with support for multiple embedding and vector DB providers.
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// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 4 credentials: SCRAPEDATSHI_API_KEY, PINECONE_API_KEY, QDRANT_API_KEY, WEAVIATE_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from
process.env. You'll be asked to provide them before it can run.🔐 secret
SCRAPEDATSHI_API_KEY— "": "sds_your_key_here"🔐 secret
PINECONE_API_KEY— "": "pc-...",🔐 secret
QDRANT_API_KEY— "": "...",🔐 secret
WEAVIATE_API_KEY— Weaviate vector DB (optional for local)// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[](https://m8ven.ai/mcp/scrapedatshi-scrapedatshi-mcp-1cj9wr)commit: e3b80d61421691089bc0a2210b1a2230f72c04ed
code hash: 07e75d627059ff4ab5e85897546a05e17afd6a645a51ab49f648bba2abf12423
verified: 7/6/2026, 10:36:29 AM