# Superbrain Schema-Context MCP

> Superbrain Schema-Context MCP — mikebenisberchmans-ide-dataplatform-conn-feat-demo. Use this tool when you need to efficiently manage database schema access for coding agents, avoiding information overload and promoting secure data retrieval. The Superbrain Schema-Context MCP server provides scoped access to database schemas through five retrieval tools, solving problems related to data management and security. It accepts queries and agent requests as inputs, returning relevant schema information as outputs, making it ideal for use cases requiring controlled and progressive data access.

Canonical page: https://skillsregistry.net/skills/mikebenisberchmans-ide-dataplatform-conn-feat-demo  
JSON: https://api.skillsregistry.net/v1/skills/mikebenisberchmans-ide-dataplatform-conn-feat-demo

## Description

An MCP server that provides coding agents with progressive, scoped access to database schemas via five retrieval tools, avoiding full-context dumps.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/awh5kxa5xw)
- **Repository:** <https://github.com/Mikebenisberchmans/IDE-Dataplatform-conn-feat-Demo>

## 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": "mikebenisberchmans-ide-dataplatform-conn-feat-demo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mikebenisberchmans-ide-dataplatform-conn-feat-demo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mikebenisberchmans-ide-dataplatform-conn-feat-demo/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