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mcp-ai-memory

Verified Safe

by ermermermermidk

Overview

This server provides a Model Context Protocol (MCP) interface for managing an AI's semantic memory, enabling storage, retrieval, clustering, and consolidation of contextual knowledge.

Installation

Run Command
npx -y mcp-ai-memory

Environment Variables

  • MEMORY_DB_URL
  • REDIS_URL
  • EMBEDDING_MODEL
  • MAX_EMBEDDING_CONCURRENCY
  • ENABLE_ASYNC_PROCESSING
  • WORKER_CONCURRENCY

Security Notes

The server demonstrates strong security practices, including comprehensive input validation and sanitization using Zod schemas for all API inputs, which helps prevent common vulnerabilities like injection attacks. It uses Kysely ORM for database interactions, providing built-in protection against SQL injection. Sensitive configurations like database and Redis URLs are loaded from environment variables (dotenv), avoiding hardcoded secrets. There's no observable direct use of `eval` or unsafe `child_process` calls. The `SECURITY.md` outlines best practices for deployment (e.g., strong credentials, SSL/TLS for DB/Redis), acknowledging that external infrastructure security is critical.

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Stats

Interest Score0
Security Score9
Cost ClassMedium
Avg Tokens100
Stars0
Forks0
Last Update2026-01-19

Tags

semantic-memoryembeddingspostgresqlai-memorymcp-server