# Agentic-AI-MCP-Query-Brain

> Use this tool when you need to translate natural language queries into actionable database searches, solving problems like data retrieval and analysis for users without SQL expertise. It takes in natural language questions, executes them on PostgreSQL databases, and returns user-friendly responses. Ideal for applications requiring intuitive data access and context retention via Redis memory.

Canonical page: https://skillsregistry.net/skills/ramneek82810-agentic-ai-mcp-query-brain  
JSON: https://api.skillsregistry.net/v1/skills/ramneek82810-agentic-ai-mcp-query-brain

## Description

An MCP server that transforms natural language questions into SQL, executes queries on PostgreSQL, and returns human-friendly responses, with Redis memory for context.

## Trust

- **Trust score (0–1):** 0.36
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/szgs1ekjm5)
- **Repository:** <https://github.com/Ramneek82810/Agentic-AI-MCP-Query-Brain>

## Use it

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": "ramneek82810-agentic-ai-mcp-query-brain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ramneek82810-agentic-ai-mcp-query-brain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ramneek82810-agentic-ai-mcp-query-brain/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