Crawl4AI RAG MCP Server

Provides web crawling and RAG capabilities for AI agents, enabling scraping of websites, storing content in a vector database (Supabase), and performing semantic search over crawled data.

→ utaschulz1/mcp-crawl2db-neo4j-rag · 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.

✅

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 3 credentials: NEO4J_PASSWORD, 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.

configNEO4J_URI— bolt://localhost:7687

configNEO4J_USER— "": "neo4j",

🔐 secretNEO4J_PASSWORD— your_neo4j_password

configUSE_RERANKING

configUSE_KNOWLEDGE_GRAPH— ## Knowledge Graph Tools (requires =true, see below)

configHOST

configPORT— docker build -t mcp/crawl4ai-rag --build-arg =8051 .

configUSE_AGENTIC_RAG

configUSE_HYBRID_SEARCH

configTRANSPORT— "": "stdio",

🔐 secretOPENAI_API_KEY— your_openai_api_key

configSUPABASE_URL— your_supabase_project_url

🔐 secretSUPABASE_SERVICE_KEY— your_supabase_service_key

configMODEL_CHOICE— gpt-4.1-nano

configUSE_CONTEXTUAL_EMBEDDINGS

// 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 4 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-crawl2db-neo4j-rag-i8mn35)](https://m8ven.ai/mcp/utaschulz1-mcp-crawl2db-neo4j-rag-i8mn35)

commit: bb72957a892e919cb54d93a4ea0144ed9709f998

code hash: 0c1ad0d24abbe1ccda3540379a8e8d6bb811abdd27d59dbb10148491025e85e6

verified: 6/24/2026, 9:53:37 AM

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