# nlqdb — analytical memory for AI agents

> nlqdb — analytical memory for AI agents — com-nlqdb-nlqdb. Use this tool when you need to query and analyze large datasets using natural language, enabling AI agents to retrieve specific information and insights from a PostgreSQL database using plain English commands over Message Control Protocol (MCP). It solves problems related to data retrieval, analysis, and decision-making by providing a simple and intuitive interface for querying complex data. Ideal for use cases where AI agents require fast and efficient data analysis, such as data-driven decision support systems or intelligent information retrieval applications.

Canonical page: https://skillsregistry.net/skills/com-nlqdb-nlqdb  
JSON: https://api.skillsregistry.net/v1/skills/com-nlqdb-nlqdb

## Description

Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.nlqdb%2Fnlqdb)
- **Repository:** <https://github.com/nlqdb/nlqdb>

## Use it

MCP endpoint published by the skill: `https://mcp.nlqdb.com/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "com-nlqdb-nlqdb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-nlqdb-nlqdb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-nlqdb-nlqdb/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt