SciX Client
Enables AI assistants to interact with the SciX (formerly NASA ADS) API to search scientific literature, export citations, and analyze bibliometric data. It supports advanced tools for managing libraries, resolving astronomical object names, and exploring citation networks.
README
scix-client
scix-client gives your AI assistant direct access to the SciX / NASA ADS database. Search the literature, build bibliographies, analyze citation networks, manage personal libraries, resolve object names via SIMBAD/NED, and export references in BibTeX, AASTeX, or 15 other formats — all from natural language.
It also works standalone: as a CLI tool, a Python library, or a Rust crate.
Research workflows: literature reviews, bibliography management, citation analysis, reference export, object resolution, paper details, library collaboration, annotation/notes
| Mode | What it does | Guide |
|---|---|---|
MCP server (scix serve) |
Expose SciX tools to Claude, Cursor, Zed, etc. | docs/mcp-server.md |
CLI (scix) |
Command-line tool for your terminal | docs/cli.md |
Python library (scix_client) |
Native Python module — pip install scix-client |
docs/python.md |
Rust library (scix_client) |
Async Rust crate — cargo add scix-client |
docs/rust.md |
One binary (scix) does everything. Python bindings are auto-generated from the Rust types — zero extra maintenance.
Prerequisites
You need a SciX / ADS API token. Get one (free) at: https://ui.adsabs.harvard.edu/user/settings/token
export SCIX_API_TOKEN="your-token-here"
# or, for backwards compatibility:
export ADS_API_TOKEN="your-token-here"
Quick Start: MCP
Give your AI assistant access to the entire SciX database.
Install
cargo install scix-client --features cli
# or: cargo binstall scix-client
Automatic setup (recommended)
scix setup
This detects your installed editors (Claude Code, Claude Desktop, Cursor, Zed), prompts for your API token, validates it, and writes the correct config for each one. Run it once and you're done.
Options:
scix setup claude-code— configure only Claude Codescix setup --yes— non-interactive (uses env token, configures all detected editors)scix setup --skip-validation— skip token validation
Manual setup
<details> <summary>Claude Code</summary>
claude mcp add scix -- /path/to/scix serve
</details>
<details> <summary>Claude Desktop</summary>
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"scix": {
"command": "/path/to/scix",
"args": ["serve"],
"env": { "SCIX_API_TOKEN": "your-token-here" }
}
}
}
</details>
See docs/mcp-server.md for Cursor, Zed, full tool reference, and example workflows.
Quick Start: CLI
cargo install scix-client --features cli
scix search 'first_author:"Perlmutter" supernova' --sort "citation_count desc"
scix export 1999ApJ...517..565P --format bibtex
scix cites 1999ApJ...517..565P --rows 50
scix libraries create "Thesis Papers" --description "Key references"
See docs/cli.md for all commands including library permissions, notes, and set operations.
Quick Start: Python
pip install scix-client
import scix_client
client = scix_client.SciXClient()
results = client.search('author:"Einstein" year:1905', rows=5)
for paper in results.papers:
print(f"{paper.title} ({paper.year}) — {paper.citation_count} citations")
See docs/python.md for the full API reference including v0.2.0 library management methods.
Quick Start: Rust
[dependencies]
scix-client = "0.3"
use scix_client::SciXClient;
#[tokio::main]
async fn main() -> scix_client::error::Result<()> {
let client = SciXClient::from_env()?;
let results = client.search("author:\"Einstein\" year:1905", 5).await?;
for paper in &results.papers {
println!("{} — {} citations", paper.title, paper.citation_count.unwrap_or(0));
}
Ok(())
}
See docs/rust.md for the full API, error handling, and architecture.
Query Syntax Quick Reference
| Pattern | Meaning |
|---|---|
author:"Einstein" |
Author search |
first_author:"Einstein" |
First author only |
title:"dark matter" |
Title words |
abs:"gravitational waves" |
Abstract words |
year:2023 or year:[2020 TO 2023] |
Year / year range |
bibcode:2023ApJ... |
Bibcode |
doi:"10.1234/..." |
DOI |
object:"M31" |
Astronomical object |
property:refereed |
Refereed papers |
property:openaccess |
Open access |
Boolean: AND, OR, NOT, parentheses
Functional: citations(bibcode:X), references(bibcode:X), similar(bibcode:X)
Sort: date desc (default), citation_count desc, score desc, read_count desc
See docs/query-syntax.md for the full reference including all 17 export formats.
Rate Limiting
The SciX API allows 5,000 requests/day and 5 requests/second. scix-client handles rate limiting automatically — a token-bucket rate limiter enforces 5 req/s locally, and API rate-limit headers are respected.
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.