# NASA ADS

> Use this tool when you need to access and manage astrophysics literature, solve research problems by finding relevant papers, and analyze citation metrics. It provides a comprehensive database search with tools for citation traversal, bibliography export, and personal library management. Ideal for researchers and scientists working in astrophysics, it accepts queries and bibliographic data as inputs and outputs formatted citations, metrics, and collaboration networks.

Canonical page: https://skillsregistry.net/skills/cbyrohl-nasa-ads  
JSON: https://api.skillsregistry.net/v1/skills/cbyrohl-nasa-ads

## Description

Provides comprehensive access to NASA's Astrophysics Data System (ADS), the primary database for astrophysics literature. Offers 11 tools covering search with full ADS query syntax, forward and backward citation traversal, bibliography export in 18+ formats, citation metrics computation, personal library management, astronomical object name resolution, and author collaboration network generation. Built with Python and designed for integration with Claude Desktop, Claude Code, Cursor, and Codex via uvx.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cbyrohl-nasa-ads)
- **Repository:** <https://github.com/cbyrohl/mcp-server-ads>

## 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": "cbyrohl-nasa-ads"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cbyrohl-nasa-ads` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cbyrohl-nasa-ads/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