# @pilat/mcp-datalink

> Use this tool when you need to securely connect AI assistants to databases, enabling them to access and retrieve data from PostgreSQL, MySQL, and SQLite servers via the Model Context Protocol. It solves problems of secure data access and integration for AI models, providing a standardized interface for data exchange. This tool accepts database queries as input and returns relevant data as output, ideal for use cases requiring AI-driven data analysis and processing.

Canonical page: https://skillsregistry.net/skills/pilat-mcp-datalink  
JSON: https://api.skillsregistry.net/v1/skills/pilat-mcp-datalink

## Description

MCP server for PostgreSQL, MySQL, and SQLite that gives AI assistants secure database access via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xf95et82zh)
- **Repository:** <https://github.com/pilat/mcp-datalink>

## 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": "pilat-mcp-datalink"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pilat-mcp-datalink` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pilat-mcp-datalink/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