# query-executor

> Use this tool when you need to interact with PostgreSQL databases, enabling AI agents to read and write data while providing schema inspection and performance analysis capabilities. It solves problems related to data access and manipulation, offering a multi-project setup for efficient database management. Ideal for use cases requiring seamless database integration, query execution, and performance optimization.

Canonical page: https://skillsregistry.net/skills/nitesh-nandan-query-executor  
JSON: https://api.skillsregistry.net/v1/skills/nitesh-nandan-query-executor

## Description

Enables AI agents to read and optionally write to PostgreSQL databases through a multi-project setup with schema inspection, query execution, and performance analysis tools.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lt4qyttkej)
- **Repository:** <https://github.com/Nitesh-Nandan/query-executor>

## 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": "nitesh-nandan-query-executor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nitesh-nandan-query-executor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nitesh-nandan-query-executor/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