nlqdb — analytical memory for AI agents

Analytical memory for AI agents: a real Postgres your agent connects to over MCP and queries in plain English — GROUP BY, JOIN, aggregate over what it…

CommunityOnlineNo sign-inGlobalFreeCan modify data

What it can do

  • Nlqdb Query: Query your agent's structured memory in natural language — a real database it can GROUP BY / JOIN / aggregate over, not just recall. Returns rows + the compiled SQL (in trace). The databa
  • Nlqdb List Databases: List the memory databases your agent can query, scoped to the authenticated user. Requires a user-scoped key (sk_live_ or sk_mcp_). Returns engine per row.
  • Nlqdb Describe: Inspect the shape of one of your agent's memory databases. Return schema metadata (slug, engine, schema name) for one database. Requires a user-scoped key (sk_live_ or sk_mcp_).

What data it sees

Do you need an account

No: the server works without sign-in

Analytical memory for AI agents: a real Postgres your agent connects to over MCP and queries in plain English — GROUP BY, JOIN, aggregate over what it remembered, not just the top-k a vector store recalls. One command to connect.

How to connect

How to connect nlqdb — analytical memory for AI agents to Claude

The server address to paste into Claude settings:

https://nlqdb--nlqdb.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect nlqdb — analytical memory for AI agents to ChatGPT

The server address to paste into ChatGPT settings:

https://nlqdb--nlqdb.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect nlqdb — analytical memory for AI agents to Cursor

The server address to paste into Cursor settings:

https://nlqdb--nlqdb.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (5)

Raw names from tools/list. Only developers need these.

nlqdb_queryQuery your agent's structured memory in natural language — a real database it can GROUP BY / JOIN / aggregate over, not just recall. Returns rows + the compiled SQL (in trace). The database is materialised on first reference — no separate create tool. Destructive plans return requires_confirm: true + a diff; re-call with confirm: true to commit.
nlqdb_list_databasesList the memory databases your agent can query, scoped to the authenticated user. Requires a user-scoped key (sk_live_ or sk_mcp_). Returns engine per row.
nlqdb_describeInspect the shape of one of your agent's memory databases. Return schema metadata (slug, engine, schema name) for one database. Requires a user-scoped key (sk_live_ or sk_mcp_).
nlqdb_rememberWrite a typed row into your agent's memory database — a fact to recall later, a conversation episode, or an entity (person/project/thing). Materialises directly into the agent_memory_v1 schema with no LLM in the loop, so it's deterministic. The DB must be an agent_memory_v1 preset; query it back later with nlqdb_query (which can GROUP BY / aggregate over what you remembered).
nlqdb_connect_databaseConnect an existing ClickHouse or Postgres database so the agent can query it in natural language with nlqdb_query — no migration, no schema upload. Pass the engine and a connection URL; the credential is stored sealed server-side and never echoed back. Returns the new dbId and a preview of the discovered schema.