Skip to main content
Glama

MCP AI Memory

by scanadi
claude-desktop-config-example.json816 B
{ "mcpServers": { "memory": { "command": "npx", "args": [ "-y", "mcp-ai-memory" ], "env": { "DATABASE_URL": "postgresql://username:password@localhost:5432/memory_db" } }, "memory-with-redis": { "command": "npx", "args": [ "-y", "mcp-ai-memory" ], "env": { "DATABASE_URL": "postgresql://username:password@localhost:5432/memory_db", "REDIS_URL": "redis://localhost:6379", "EMBEDDING_MODEL": "Xenova/all-MiniLM-L6-v2", "LOG_LEVEL": "info", "CACHE_TTL": "3600", "MAX_MEMORIES_PER_QUERY": "10", "MIN_SIMILARITY_SCORE": "0.5", "BATCH_SIZE": "100", "EMBEDDING_QUEUE_CONCURRENCY": "2", "BATCH_QUEUE_CONCURRENCY": "1" } } } }

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/scanadi/mcp-ai-memory'

If you have feedback or need assistance with the MCP directory API, please join our Discord server