# Atlarium Habitat Database MCP

> Use this tool when you need to access structured data on aquarium, marine, terrarium, and paludarium habitats, or require public advisory functions for habitat planning and management. It provides a range of 39 tools and 9 prompts for diagnostics, fertilization, and compatibility checks through a read-only Streamable HTTP MCP server. Ideal for AI agents seeking to inform and optimize aquatic and terrestrial habitat design and maintenance decisions.

Canonical page: https://skillsregistry.net/skills/ilgrafico79-atlarium-habitat-database  
JSON: https://api.skillsregistry.net/v1/skills/ilgrafico79-atlarium-habitat-database

## Description

Structured aquarium, marine, terrarium and paludarium data and public advisory functions for AI agents. Public read-only Streamable HTTP MCP server with 39 tools, 9 prompts, diagnostics, fertilization, calculators, compatibility and habitat planning. No user/workspace/admin/write APIs.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/ilgrafico79/atlarium-habitat-database)

## 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": "ilgrafico79-atlarium-habitat-database"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ilgrafico79-atlarium-habitat-database` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ilgrafico79-atlarium-habitat-database/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