# Oracle MCP Server by CData

> Oracle MCP Server by CData — cdatasoftware-oracle-mcp-server-by-cdata. Use this tool when you need to connect to Oracle databases and perform various operations, such as data retrieval, manipulation, and analysis, solving problems related to data integration and accessibility. It provides a standardized interface for inputs like SQL queries and outputs like query results, enabling seamless interaction with Oracle data. Ideal for use cases involving data-driven applications, business intelligence, and data science workflows.

Canonical page: https://skillsregistry.net/skills/cdatasoftware-oracle-mcp-server-by-cdata  
JSON: https://api.skillsregistry.net/v1/skills/cdatasoftware-oracle-mcp-server-by-cdata

## Description

This read-only MCP Server allows you to connect to Oracle data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

## Trust

- **Trust score (0–1):** 0.94
- **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:** [Glama](https://glama.ai/mcp/servers/iwvwos5dkv)
- **Repository:** <https://github.com/CDataSoftware/oracle-mcp-server-by-cdata>

## 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": "cdatasoftware-oracle-mcp-server-by-cdata"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cdatasoftware-oracle-mcp-server-by-cdata` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cdatasoftware-oracle-mcp-server-by-cdata/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
