# ormcp-docs

> ormcp-docs — softwaretree-ormcp-docs. Use this tool when you need to integrate AI systems with database management, as it provides documentation for ORMCP, an MCP server that bridges this gap. It solves problems related to data consistency and accessibility between AI applications and databases. The tool offers git-based documentation, serving as a resource for developers to input their AI and database requirements and output seamless integration solutions.

Canonical page: https://skillsregistry.net/skills/softwaretree-ormcp-docs  
JSON: https://api.skillsregistry.net/v1/skills/softwaretree-ormcp-docs

## Description

Documentation for ORMCP - An MCP Server for bridging AI and Database

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/SoftwareTree/ormcp-docs)

## 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": "softwaretree-ormcp-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/softwaretree-ormcp-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/softwaretree-ormcp-docs/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