# MCP-Driven Data Management System

> Use this tool when you need to manage and analyze data from multiple databases using natural language interactions. It solves problems related to data retrieval, manipulation, and visualization across customer, product, and sales data, supporting CRUD operations with intelligent query routing. The system accepts natural language queries as input and provides visualized data outputs, making it ideal for use cases that require effortless data interaction and insights.

Canonical page: https://skillsregistry.net/skills/chibbi1-mcp  
JSON: https://api.skillsregistry.net/v1/skills/chibbi1-mcp

## Description

Enables natural language interaction with heterogeneous databases (MySQL and PostgreSQL) for CRUD operations across customer, product, and sales data with intelligent query routing and visualization capabilities.

## Trust

- **Trust score (0–1):** 0.70
- **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/shuxt65jk0)
- **Repository:** <https://github.com/chibbi1/MCP>

## 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": "chibbi1-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chibbi1-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chibbi1-mcp/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