# mcp-vizier

> mcp-vizier — pipeworx-io-mcp-vizier. Use this tool when you need to access and query large astronomical datasets, solving problems related to data discovery and retrieval in astrophysics research. It provides an interface to tens of thousands of catalogues, accepting queries as input and returning relevant data as output. Utilize mcp-vizier in contexts where astronomical data analysis and visualization are required, such as researching celestial objects or phenomena.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-vizier  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-vizier

## Description

CDS VizieR — astronomical catalogue server (tens of thousands of catalogues)

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-vizier)

## 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": "pipeworx-io-mcp-vizier"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-vizier` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-vizier/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