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Local Knowledge RAG MCP Server

Semantic search and retrieval system for local documents using vector embeddings, enabling AI-powered search across your document collections with support for multiple embedding providers.

→ patakuti/local-knowledge-rag-mcp· listed on glama
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// key findings
⚠️
Known vulnerabilities in dependencies: 8 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
✅
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 2 credentials: OPENAI_API_KEY, OPENAI_COMPATIBLE_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// known CVEs in dependencies8 high

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

high@modelcontextprotocol/sdk@1.9.0GHSA-8r9q-7v3j-jr4g

Anthropic's MCP TypeScript SDK has a ReDoS vulnerability

high@modelcontextprotocol/sdk@1.9.0GHSA-w48q-cv73-mx4w

Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default

highdrizzle-orm@0.39.0GHSA-gpj5-g38j-94v9

Drizzle ORM has SQL injection via improperly escaped SQL identifiers

highglob@11.0.0GHSA-5j98-mcp5-4vw2

glob CLI: Command injection via -c/--cmd executes matches with shell:true

highlangchain@0.3.2GHSA-r399-636x-v7f6

LangChain serialization injection vulnerability enables secret extraction

Depend on this server? Get alerted when its CVEs change.Watch this server free →
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configDATABASE_URL— Note: The credentials above are for local development only. If port 5432 is already in use, change the host port (e.g., -p 5433:5432) and update accordingly.
configEMBEDDING_DOCUMENT_PREFIX
configEMBEDDING_MODEL— cl-nagoya/ruri-v3-310m
configEMBEDDING_QUERY_PREFIX
configLKRAG_QUIET
configOLLAMA_BASE_URL
🔐 secretOPENAI_API_KEY— sk-your-openai-api-key
🔐 secretOPENAI_COMPATIBLE_API_KEY— your-litellm-key
configOPENAI_COMPATIBLE_BASE_URL
configRAG_CHUNK_LANGUAGE
configRAG_CHUNK_OVERLAP
configRAG_CHUNK_SIZE
configRAG_DEBUG_LOG_ENABLED
configRAG_DEBUG_LOG_PATH
configRAG_DEFAULT_TEMPLATE
configRAG_EXCLUDE_CODE_LANGUAGES
configRAG_EXCLUDE_PATTERNS— File patterns: Edit RAG_INCLUDE_PATTERNS and in .env
configRAG_INCLUDE_PATTERNS— File patterns: Edit and RAG_EXCLUDE_PATTERNS in .env
configRAG_MAX_CHUNKS_PER_QUERY
configRAG_MAX_FILE_SIZE_KB
configRAG_MAX_QUOTE_LINES
configRAG_MAX_RESULTS
configRAG_MAX_SESSION_RESULTS
configRAG_MIN_SIMILARITY
configRAG_REMOVE_BLANK_LINES
configRAG_REPORT_OUTPUT_DIR
// 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/patakuti-local-knowledge-rag-mcp-ht31kw)](https://m8ven.ai/mcp/patakuti-local-knowledge-rag-mcp-ht31kw)
commit: b1e89aaa95ae30819aa0f057789278ba2229abf2
code hash: 95290a9a205dc4510c3cf06a412c587836dac3e0b4fcbe469a55f6b763e564c3
verified: 6/22/2026, 1:30:13 PM
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