# Oracle Database

> Use this tool when you need to efficiently manage and query Oracle databases, solve problems related to schema exploration, query execution, and database operations, and require a scalable solution that handles large databases through intelligent caching and lazy loading. It takes natural language inputs and provides outputs such as query results, explain plans, and schema information. Use it in contexts where database administrators and developers need quick access to Oracle database metadata and operations without performance penalties.

Canonical page: https://skillsregistry.net/skills/zhengwanbo-oracle-database  
JSON: https://api.skillsregistry.net/v1/skills/zhengwanbo-oracle-database

## Description

This Oracle MCP server by zhengwanbo provides AI assistants with direct access to Oracle database schema information and query execution capabilities through intelligent caching and lazy loading mechanisms. The implementation features a sophisticated schema manager that builds lightweight indexes of table names and relationships, then loads detailed column information on-demand to handle databases with tens of thousands of tables efficiently. It supports comprehensive database operations including schema exploration, table searches, constraint analysis, PL/SQL object inspection, query execution with explain plans, and cross-schema operations, making it valuable for database administrators and developers who need natural language access to Oracle database metadata and operations without performance penalties from loading entire schemas upfront.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/zhengwanbo-oracle-database)
- **Repository:** <https://github.com/zhengwanbo/oracle-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": "zhengwanbo-oracle-database"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zhengwanbo-oracle-database` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zhengwanbo-oracle-database/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