LLM Memory MCP Server

Enables AI assistants across platforms to share memory, recall facts, preferences, and conversation history, creating a unified cognitive system.

→ ranjanjyoti152/LLM-MCP · 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 1 credential: OPENAI_API_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.

configDASHBOARD_PORT— 4041 Dashboard UI port

configDATABASE_URL

configEMBEDDING_PROVIDER— ollama local / ollama / openai

configOLLAMA_URL

configOLLAMA_MODEL— nomic-embed-text Embedding model Ollama pulls on first boot (~274MB)

🔐 secretOPENAI_API_KEY

configOLLAMA_DIM— 768 Vector dimension — change only if you swap to a non-768-dim model

configMCP_HOST— Bind to 127.0.0.1 for local-only: =127.0.0.1

configMCP_PORT— 4040 MCP server port

configMAINTENANCE_INTERVAL_MINUTES— 30 Background scheduler interval

// 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/ranjanjyoti152-llm-mcp-2wfz91)](https://m8ven.ai/mcp/ranjanjyoti152-llm-mcp-2wfz91)

commit: c1b5de353c9fa06802caa2aca93f97c2849339f2

code hash: b0edf40284c9fb79e0903daba2df8b21e35a021c4b1f9ab2d1cc83f2e1a2f3ea

verified: 6/22/2026, 1:07:46 PM

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