# ragic-mcp

> Use this tool when you need to integrate AI agents with Ragic databases for seamless data management. It solves problems related to data creation, retrieval, update, and deletion, as well as approval and locking operations. The ragic-mcp tool accepts database queries and commands as inputs and returns relevant data and operation results as outputs, ideal for use cases requiring automated database interactions.

Canonical page: https://skillsregistry.net/skills/ethanh9977-ragic-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ethanh9977-ragic-mcp

## Description

Enables AI agents to interact with Ragic databases via MCP protocol, supporting form exploration, data CRUD, approval, and locking operations.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cbel8rbvcc)
- **Repository:** <https://github.com/EthanH9977/ragic-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": "ethanh9977-ragic-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ethanh9977-ragic-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ethanh9977-ragic-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