# oracledb-mcp

> Use this tool when you need to diagnose and analyze Oracle SQL performance issues, as it provides a server for AWR analysis and supports compatibility with various MCP clients through stdio or HTTP transports. It solves problems related to database performance optimization and troubleshooting, offering insights through standardized output. Ideal for use in database administration and development contexts where Oracle SQL performance monitoring is crucial.

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

## Description

MCP server for Oracle SQL performance diagnostics and AWR analysis, compatible with any MCP client that supports stdio or HTTP transports.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tv03k6ynm5)
- **Repository:** <https://github.com/sangeethdba/oracledb-mcp>

## 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": "sangeethdba-oracledb-mcp"
    }
  }
}
```

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