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cbyrohl

mcp-server-ads

by cbyrohl

mcp-server-ads

Python 3.11+ License: MIT

A powerful MCP server for the NASA Astrophysics Data System (ADS) — the primary database for astrophysics literature. Search papers, traverse citation graphs forward and backward, export BibTeX, compute metrics, and manage reading lists, all through natural language. Works with Claude Desktop/Code, Cursor, OpenAI Codex, and any MCP-compatible client.

demo_15fps_crf20.webm

Quick Start

Get an ADS API Token

  1. Create a free account at NASA ADS

  2. Log in and go to Settings > API Token

  3. Click Generate a new key and copy the token

Installation

No separate install step needed — the client configurations below use uvx to automatically fetch and run the server. Just pick your client and go. Requires Python 3.11+ and uv.

Claude Code

claude mcp add --scope user mcp-server-ads -e ADS_API_TOKEN=your-api-token-here -- uvx --from git+https://github.com/cbyrohl/mcp-server-ads mcp-server-ads

Use --scope project instead to share the configuration via .mcp.json in your repo, or omit --scope for local (current project only).

Claude Desktop

Add to your Claude Desktop config:

{
  "mcpServers": {
    "ads": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/cbyrohl/mcp-server-ads", "mcp-server-ads"],
      "env": {
        "ADS_API_TOKEN": "your-api-token-here"
      }
    }
  }
}

Codex CLI

codex mcp add mcp-server-ads --env ADS_API_TOKEN=your-api-token-here -- uvx --from git+https://github.com/cbyrohl/mcp-server-ads mcp-server-ads

This installs to ~/.codex/config.toml (user-level, available across all projects). For project-scoped config, add the entry to .codex/config.toml in your project root instead.

Standalone / Python API

If you want to install the package directly (e.g. as a Python library or to run the server manually):

# Install with uv
uv tool install git+https://github.com/cbyrohl/mcp-server-ads

# Or with pip
pip install git+https://github.com/cbyrohl/mcp-server-ads

Running from Source

git clone https://github.com/cbyrohl/mcp-server-ads.git
cd mcp-server-ads
uv sync

# Run the server
ADS_API_TOKEN=your-token uv run mcp-server-ads

Configuration

Environment Variable

Required

Default

Description

ADS_API_TOKEN

Yes

API token from ADS

ADS_API_URL

No

https://api.adsabs.harvard.edu

API base URL (override for SciX)

Tools (11)

Tool

Description

ads_search

Search the ADS database with full query syntax, including citations(), references(), similar(), trending(), and reviews() operators

ads_bigquery

Search within a specific set of bibcodes (up to 2000)

Export & Metrics

Tool

Description

ads_export

Export records in 18+ formats (BibTeX, AASTeX, RIS, CSL, etc.)

ads_metrics

Compute citation metrics (h-index, g-index, citation counts, etc.)

Libraries

Tool

Description

ads_library

Manage libraries: list, get, create, edit, or delete saved paper collections

ads_library_documents

Manage documents and notes within a library: add/remove papers, set operations (union, intersection, difference, copy, empty), and note CRUD

Discovery & Resolution

Tool

Description

ads_resolve_links

Resolve available links for a paper (full text, data, etc.)

ads_object_search

Translate astronomical object names to ADS queries (SIMBAD/NED)

ads_citation_helper

Suggest papers that should be cited alongside a given set

ads_resolve_reference

Resolve free-text reference strings to ADS bibcodes

Network Visualization

Tool

Description

ads_network

Generate author collaboration or paper citation networks from a set of papers

Resources

URI

Description

ads://fields

Complete reference of searchable and returnable ADS fields

ads://syntax

ADS query syntax quick-reference with examples

ads://rate-limits

Live API rate-limit status

Prompts

Prompt

Description

literature_review

Multi-step literature review workflow for a research topic

citation_analysis

Citation network analysis workflow for a set of papers

generate_bibliography

Generate a formatted bibliography from search or bibcodes

Similar Projects

This server focuses on broad ADS API coverage, token-efficient output, and integration-tested reliability. Compared to arXiv-based tools, ADS enables forward/backward citation traversal (citations and references of any paper), though it is focused on astrophysics.

Development

# Install dev dependencies
uv sync

# Run tests
uv run pytest

# Lint
uv run ruff check src/ tests/

# Run the server locally
ADS_API_TOKEN=your-token uv run mcp-server-ads

License

MIT

Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

Resources

Looking for Admin?

Admins can modify the Dockerfile, update the server description, and track usage metrics. If you are the server author, to access the admin panel.

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