# MCP-Server-data

> MCP-Server-data — nishant264-mcp-server-data. Use this tool when you need to query a SQLite database using natural language inputs, and require a secure interface that prevents destructive SQL operations. It solves problems related to data retrieval and manipulation, while providing a safe and controlled environment for AI agents to interact with the database. The tool accepts natural language queries as input and returns relevant data from the SQLite database as output.

Canonical page: https://skillsregistry.net/skills/nishant264-mcp-server-data  
JSON: https://api.skillsregistry.net/v1/skills/nishant264-mcp-server-data

## Description

Enables AI agents to query a SQLite database using natural language through the Model Context Protocol (MCP). Includes security guardrails that block destructive SQL operations.

## Trust

- **Trust score (0–1):** 0.68
- **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/er7t0jovlu)
- **Repository:** <https://github.com/nishant264/MCP-Server-data->

## 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": "nishant264-mcp-server-data"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nishant264-mcp-server-data` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nishant264-mcp-server-data/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