# Oracle Forms MCP

> Oracle Forms MCP — aoreshkov-oracle-forms-mcp. Use this tool when you need to inspect and query Oracle Forms modules without relying on Forms Builder, to solve problems such as reverse engineering, code review, and modernization of legacy applications. It takes Oracle Forms modules as input and outputs detailed information about their structure and code, enabling AI assistants to analyze and understand the applications. This tool is ideal for use cases where manual inspection is impractical or inefficient, streamlining the process of understanding and updating complex Oracle Forms applications.

Canonical page: https://skillsregistry.net/skills/aoreshkov-oracle-forms-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aoreshkov-oracle-forms-mcp

## Description

Enables AI assistants to inspect and query Oracle Forms modules (blocks, triggers, program units, etc.) without Forms Builder, supporting reverse engineering, code review, and modernization.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/honxr7vnat)
- **Repository:** <https://github.com/aoreshkov/oracle-forms-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": "aoreshkov-oracle-forms-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aoreshkov-oracle-forms-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aoreshkov-oracle-forms-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