# MCP DataBridge

> Use this tool when you need to analyze and explore the Titanic passenger database, enabling AI agents to query and interact with the data via MCP. It solves problems related to data exploration, analysis, and insight generation, providing outputs such as query results and data visualizations. Ideal for use cases requiring in-depth examination of historical passenger data, such as research, education, or data-driven storytelling.

Canonical page: https://skillsregistry.net/skills/0xnadr-mcp-databridge  
JSON: https://api.skillsregistry.net/v1/skills/0xnadr-mcp-databridge

## Description

Enables AI agents to interact with the Titanic passenger database via MCP, providing tools for querying, analysis, and exploration.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/phve26tjcj)
- **Repository:** <https://github.com/0xNadr/mcp_databridge>

## 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": "0xnadr-mcp-databridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0xnadr-mcp-databridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0xnadr-mcp-databridge/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