# DataNexa

> DataNexa — mingozacwu-datanexa. Use this tool when you need to unify multiple data sources and provide controlled access to AI agents across various databases. DataNexa solves data fragmentation and access control problems by aggregating data behind a single endpoint, enabling read-only and auditable interactions. It is ideal for use cases requiring centralized data management and secure access, accepting multiple data sources as input and providing a unified interface for AI agents to query and retrieve data.

Canonical page: https://skillsregistry.net/skills/mingozacwu-datanexa  
JSON: https://api.skillsregistry.net/v1/skills/mingozacwu-datanexa

## Description

DataNexa: A local database aggregation MCP tool that unifies multiple data sources behind a single MCP endpoint, giving AI agents read-only, controlled, and auditable access across databases.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/MingoZacwu/DataNexa)

## 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": "mingozacwu-datanexa"
    }
  }
}
```

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