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9 days ago
glama

forensic-rag-mcp

MCP server providing semantic search over incident response knowledge from 23 authoritative security sources.

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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 1 credential: GITHUB_TOKEN
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.
configRAG_INDEX_DIR./data ChromaDB location
configRAG_KNOWLEDGE_DIR./knowledge User documents
configRAG_MODEL_NAMEBAAI/bge-base-en-v1.5 Embedding model
configRAG_MAX_TOP_K50 Maximum top_k for queries
configRAG_MAX_QUERY_LENGTH1000 Maximum query string length
configRAG_MAX_DOWNLOAD_BYTES62914560 (60MB) Maximum download size for network fetches
configRAG_FETCH_MAX_RETRIES3 Max retries for transient network failures
configRAG_ALLOW_HTTPfalse Allow HTTP (not recommended; HTTPS enforced by default)
configRAG_UNSAFE_PATHS
configRAG_LOG_FORMATSettings are loaded via Config dataclass (config.py) with an explicit validate() method and global singleton caching in get_config(). Set =json for structured JSON logging.
🔐 secretGITHUB_TOKEN(optional) Higher API rate limits (see Security section)
configRAG_FETCH_RETRY_DELAY
// 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
[![M8ven Score](https://m8ven.ai/badge/mcp/scriptedstatement-forensic-rag-mcp-f1ln80)](https://m8ven.ai/mcp/scriptedstatement-forensic-rag-mcp-f1ln80)
commit: bd7833091d98bf70fcde38e86ef2dad5d578efa6
code hash: 9e5807a2887a27ed4f241155a930b6de4e0020230aa5a2fe8942f7c03d4a1d67
verified: 7/22/2026, 8:41:05 AM
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