# NaturalQureryAgentTool

> NaturalQureryAgentTool — srujanraghavendras-naturalqureryagenttool. Use this tool when you need to query PostgreSQL databases using natural language, solving problems of complex data retrieval and analysis. It takes natural language inputs and outputs relevant data from the database, utilizing MCP servers for connection and GeminiAPI for querying. Ideal for use cases where intuitive and user-friendly data access is required, streamlining data analysis and insight generation.

Canonical page: https://skillsregistry.net/skills/srujanraghavendras-naturalqureryagenttool  
JSON: https://api.skillsregistry.net/v1/skills/srujanraghavendras-naturalqureryagenttool

## Description

This is the repo of the AI Agent tool that uses GeminiAPI to query upon postgreSQL databases with natural Language .MCP servers are used for connecting to the databases

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/SrujanRaghavendraS/NaturalQureryAgentTool)

## 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": "srujanraghavendras-naturalqureryagenttool"
    }
  }
}
```

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