# OracleDB

> Use this tool when you need to interact with Oracle Database metadata or execute SQL queries through a standardized interface. It solves problems related to data exploration and retrieval, supporting use cases such as dynamic table and column discovery, and secure query execution. Ideal for data analysts and developers, it takes natural language inputs and returns database information through a configurable and secure interface.

Canonical page: https://skillsregistry.net/skills/rahgadda-oracledb  
JSON: https://api.skillsregistry.net/v1/skills/rahgadda-oracledb

## Description

Provides a bridge to Oracle Database, enabling AI assistants to interact with database metadata and execute SQL queries through a standardized interface. Built with Python and the MCP framework, it supports dynamic table and column discovery, configurable connection parameters, and secure query execution with whitelisting. Particularly useful for data analysts and developers who want to explore database schemas and retrieve information through natural language interactions.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rahgadda-oracledb)
- **Repository:** <https://github.com/rahgadda/oracledb_mcp_server>

## 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": "rahgadda-oracledb"
    }
  }
}
```

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