Provides long-term memory for AI agents via MCP tools to store, recall, and delete memories, with per-user scoping and usage limits.
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process.env. You'll be asked to provide them before it can run.PUBLIC_BASE_URL— client points at {}/m/{key} (Streamable HTTP, stateless, JSONMONOBANK_WEBHOOK_VERIFY— 1 Verify the webhook's X-Sign against the merchant pubkey. Keep on wherever money moves; 0 only for local dev.GOOGLE_CLIENT_ID— _(required for sign-in)_ Google OAuth 2.0 Web client id.GOOGLE_CLIENT_SECRET— _(required for sign-in)_ Google OAuth 2.0 client secret.QDRANT_URLQDRANT_API_KEYMONGODB_URI— _(required)_ Remote, managed MongoDB connection string.MONGODB_DB— recall_select Database name.SESSION_SECRET— _(dev fallback)_ Signs the session cookie. Set a stable value in prod.EMBEDDING_BASE_URLEMBEDDING_API_KEY— _(required)_ API key for the remote embedding API.MONOBANK_API_KEY— _(required for payments)_ Monobank acquiring merchant token. Shared with the mcp-api.net platform - same merchant, one account; invoices are told apart by reference.MONOBANK_WEBHOOK_URL— {PUBLIC_BASE_URL}/webhooks/monobank Server-to-server callback that grants the tier. Must be publicly reachable.MONOBANK_REDIRECT_URL— {PUBLIC_BASE_URL}/payment/success Where the shopper's browser returns after paying.VECTOR_SIZE— 768 Vector dimension for every collection. The remote embedder is asked (via the API dimensions param) to return vectors of exactly this size, so the two stay in sync.[](https://m8ven.ai/mcp/sergeysetti-recall-select-x1x22w)