# Oracle DB Context

> Use this tool when you need to understand and navigate complex Oracle databases, as it provides contextual schema information to AI assistants, enabling them to work with large databases containing thousands of tables. It solves problems related to database exploration, schema discovery, and relationship mapping, and accepts database connections and query inputs, outputting relevant schema information. Ideal for use cases involving multi-database connections, smart schema caching, and table lookups.

Canonical page: https://skillsregistry.net/skills/dhananjay-2024-oracle-mcp-server-deer  
JSON: https://api.skillsregistry.net/v1/skills/dhananjay-2024-oracle-mcp-server-deer

## Description

Provides contextual Oracle database schema information to AI assistants, enabling them to understand and work with large databases containing thousands of tables. Supports multi-database connections, smart schema caching, table lookups, and relationship mapping.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fo214exapa)
- **Repository:** <https://github.com/Dhananjay-2024/oracle-mcp-server-deer>

## 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": "dhananjay-2024-oracle-mcp-server-deer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dhananjay-2024-oracle-mcp-server-deer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dhananjay-2024-oracle-mcp-server-deer/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