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flexible-graphrag

Python, LlamaIndex, LangChain, Docker Compose: 15 Property Graph, 4 RDF , 10 Vector, OpenSearch, Elasticsearch, Alfresco DBs. 13 data sources (9 auto-sync), KG auto-building, Ontologies, LLMs, Docling, LlamaParse, LiteParse, GraphRAG, RAG, Hybrid Search, AI Chat. TypeScript React, Vue, Angular frontends, FastAPI REST, MCP Server, optional Langflow.

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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.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configALFRESCO_BASE_URL
configCMIS_BASE_URL
configDOCKER_MODE
configPROCESS_FOLDER_PATH
configVITE_ALFRESCO_BASE_URL
configVITE_CMIS_BASE_URL
// 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 1 concrete improvement 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/stevereiner-flexible-graphrag-1vdnd2)](https://m8ven.ai/mcp/stevereiner-flexible-graphrag-1vdnd2)
commit: 87304bba6dade5ea33a524dbd65e5a9041f7c60a
code hash: cf0a40953f0ee65e9f4b759410bd68070878df2d825c1c292682ec745756fb48
verified: 6/14/2026, 10:29:33 AM
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