# Chrysai

> Use this tool when you need to create and manage structured databases using natural language, enabling efficient data operations and application development. It solves problems related to data organization, schema definition, and CRUD operations, providing a user-friendly interface for inputs and outputs. Ideal for use cases requiring flexible and intuitive data management, with free and paid tiers available for various needs.

Canonical page: https://skillsregistry.net/skills/chrysai  
JSON: https://api.skillsregistry.net/v1/skills/chrysai

## Description

AI-driven data operations platform enabling creation and management of structured databases through natural language. Provides tools for creating applications, defining schemas, and performing CRUD operations on structured data. Operated by ListoPost, LLC with free and paid tiers.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/chrysai)

## 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": "chrysai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chrysai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chrysai/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