# aqc-mcp

> Use this tool when you need to access and query multiple astronomical databases through a unified interface, solving data integration and retrieval challenges for AI applications in astronomy. The aqc-mcp server provides HTTP/TAP APIs to fetch data from 17+ databases, including SIMBAD, VizieR, and Gaia, and supports natural language queries for seamless interaction. It is ideal for use cases requiring aggregated astronomical data, such as research, data analysis, and machine learning model training.

Canonical page: https://skillsregistry.net/skills/inoribea-aqc-mcp  
JSON: https://api.skillsregistry.net/v1/skills/inoribea-aqc-mcp

## Description

MCP server that provides tools to query 17+ astronomical databases (e.g., SIMBAD, VizieR, Gaia) via HTTP/TAP APIs, enabling AI applications to access astronomical data through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mcz4w2x3q2)
- **Repository:** <https://github.com/inoribea/aqc-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": "inoribea-aqc-mcp"
    }
  }
}
```

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