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glama

mcp-crawl4ai2vectordb

MCP server for crawling web documentation and storing it in a Supabase vector database.

→ utaschulz1/mcp_crawl4ai2vectordb· listed on glama
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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.
🔐
You'll be asked for 2 credentials: OPENAI_API_KEY, SUPABASE_SERVICE_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.
configHOST
configPORT
configUSE_AGENTIC_RAG— false Extract code blocks and store them separately in code_examples table
configTRANSPORT— sse uv run python -u src/server.py
🔐 secretOPENAI_API_KEY— fill in , MODEL_CHOICE, SUPABASE_URL, SUPABASE_SERVICE_KEY
configSUPABASE_URL— fill in OPENAI_API_KEY, MODEL_CHOICE, , SUPABASE_SERVICE_KEY
🔐 secretSUPABASE_SERVICE_KEY— fill in OPENAI_API_KEY, MODEL_CHOICE, SUPABASE_URL,
configMODEL_CHOICE— fill in OPENAI_API_KEY, , SUPABASE_URL, SUPABASE_SERVICE_KEY
configUSE_CONTEXTUAL_EMBEDDINGS— false Prepend LLM-generated context to each chunk before embedding (improves retrieval accuracy, costs more)
// 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 5 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
[![M8ven Score](https://m8ven.ai/badge/mcp/utaschulz1-mcp-crawl4ai2vectordb-vi24ip)](https://m8ven.ai/mcp/utaschulz1-mcp-crawl4ai2vectordb-vi24ip)
commit: 45633a49adfe82813e95b9fef75299dd3ed5199c
code hash: cbbae10e7c22200ee467f3b28014f240546db210b3b4af9f963b1619302eac03
verified: 7/21/2026, 9:36:48 AM
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