# NASA SciX MCP Server

> Use this tool when you need to search and analyze astronomical literature, retrieve paper metadata, or export bibliographic data. It solves problems related to researching and organizing astronomical publications by providing access to the NASA Astrophysics Data System (ADS) via the SciX API. The tool takes search queries as input and outputs relevant paper metadata, citation metrics, and bibliographic data.

Canonical page: https://skillsregistry.net/skills/thostetler-scix-mcp  
JSON: https://api.skillsregistry.net/v1/skills/thostetler-scix-mcp

## Description

Enables LLMs to search astronomical literature, retrieve paper metadata, analyze citation metrics, and export bibliographic data via the NASA Astrophysics Data System (SciX) API.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lgunstnkfl)
- **Repository:** <https://github.com/adsabs/scix-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": "thostetler-scix-mcp"
    }
  }
}
```

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