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1 month ago
glama

mem0-mcp

Self-hosted Mem0 MCP server integrating Qdrant, Neo4j, and Ollama for semantic memory search, graph entity relationships, and memory management via OpenMemory API.

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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 2 credentials: MEM0_EMBED_API_KEY, MEM0_NEO4J_PASSWORD
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.
configMEM0_TRANSPORT
configMEM0_API_BASE"": "http://127.0.0.1:8765",
configMEM0_QDRANT_URL"": "http://127.0.0.1:6333",
configMEM0_OLLAMA_URL"": "http://127.0.0.1:11435",
configMEM0_EMBED_MODELnomic-embed-text:latest Embedding model name
configMEM0_EMBED_PROVIDER
🔐 secretMEM0_EMBED_API_KEY
configMEM0_EMBED_BASE_URL
configMEM0_COLLECTIONopenmemory Qdrant collection name
configMEM0_USER_ID"": "your-user-id"
configMEM0_NEO4J_URL"": "bolt://127.0.0.1:7687",
configMEM0_NEO4J_USERneo4j Neo4j username
🔐 secretMEM0_NEO4J_PASSWORD"": "your-password",
// 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/tensakulabs-mem0-mcp-dutnci)](https://m8ven.ai/mcp/tensakulabs-mem0-mcp-dutnci)
commit: e31024e7036d5c0d082bce337f556c1b90b6711b
code hash: 54516f950ab726e6423dbbe95db2e33a39a8ed7b85fc100d9bb36623dd616bef
verified: 6/24/2026, 10:08:52 AM
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