spacedata
Aggregated public space data — satellite orbits, catalogs and launches — as a single AI-friendly CLI.
README
spacedata
Aggregated public space data — satellite orbits, catalogs and launches — as a single AI-friendly CLI.
Instead of teaching an agent (or yourself) four different APIs, query languages and data formats, spacedata exposes one command vocabulary and always answers with a single JSON document. Caching and circuit breakers are built in so heavy automated use never violates the upstream sources' usage policies.
Status
v0.2 — CelesTrak (orbital elements, catalog search) and Launch Library 2 (upcoming launches) with no account needed, plus Space-Track (SATCAT, element history, conjunctions, re-entry predictions) using your own free account. Planned next: ESA DISCOSweb (physical metadata) and a cross-source sat info.
Usage
spacedata tle 25544 # latest orbital elements for the ISS
spacedata sat search STARLINK-32000 # search the catalog by name
spacedata launches upcoming --limit 5 # next 5 orbital launches
spacedata launches upcoming --search starlink # filter launches
spacedata --pretty tle 25544 # human-readable JSON
spacedata --fresh tle 25544 # bypass the local cache
spacedata sat catalog 25544 # full SATCAT record: type, status, owner, launch, RCS
spacedata conjunctions --limit 20 # upcoming close approaches (CelesTrak SOCRATES)
Two datasets only exist behind a free Space-Track account (set SPACEDATA_SPACETRACK_IDENTITY and SPACEDATA_SPACETRACK_PASSWORD):
spacedata sat history 25544 --limit 30 # orbital element history (orbit evolution/decay)
spacedata reentries --limit 10 # re-entry predictions (TIP)
spacedata conjunctions --source spacetrack # official public CDMs instead of SOCRATES
MCP server
spacedata serve runs the same data layer as an MCP server over stdio, for Claude Desktop, Claude Code, Cursor and any other MCP client. Seven tools: get_orbit, search_satellites, get_satellite_catalog, get_conjunctions, get_upcoming_launches, get_orbit_history, get_reentries — with the same caching and rate-limit protection as the CLI.
Claude Code:
claude mcp add spacedata -- npx -y spacedata serve
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"spacedata": {
"command": "npx",
"args": ["-y", "spacedata", "serve"]
}
}
}
To enable the two Space-Track tools, add "env": {"SPACEDATA_SPACETRACK_IDENTITY": "...", "SPACEDATA_SPACETRACK_PASSWORD": "..."} to the server entry.
Tip: if your agent can run shell commands (like Claude Code), the plain CLI is cheaper in context tokens than loading MCP tool schemas — serve shines in clients without a shell (Claude Desktop, claude.ai).
Using with AI agents
spacedata is designed to be driven by AI agents: single JSON document per invocation, semantic exit codes, no interactive prompts, and built-in caching/rate limiting so an agent in a loop can never get you banned from an upstream source.
For Claude Code, add this to your ~/.claude/CLAUDE.md (or a project CLAUDE.md); other agents (Cursor, etc.) have equivalent instruction files:
- `spacedata` — CLI for public space data (no API keys needed). Use it via the shell
for anything about satellites, orbits, conjunctions or launches:
`spacedata tle <norad-id>`, `spacedata sat search <name>`, `spacedata sat catalog <norad-id>`,
`spacedata conjunctions [--norad id]`, `spacedata launches upcoming [--search text]`.
Always outputs one JSON document; exit 2 = not found. Run `spacedata --help` for details.
Example output (spacedata tle 25544):
{"ok":true,"source":"celestrak","cached":false,"fetchedAt":"2026-07-03T14:20:17.278Z",
"data":[{"noradId":25544,"name":"ISS (ZARYA)","internationalDesignator":"1998-067A",
"epoch":"2026-07-01T12:11:46.289760","meanMotionRevPerDay":15.49503254,
"eccentricity":0.00042241,"inclinationDeg":51.6311,
"derived":{"semiMajorAxisKm":6796.315,"perigeeAltitudeKm":415.307,
"apogeeAltitudeKm":421.049,"periodMinutes":92.933}}]}
Output contract
Stable, designed for AI agents:
- stdout: one JSON document —
{ok: true, source, cached, fetchedAt, data} - stderr: one JSON document —
{ok: false, error: {code, message, ...}} - exit codes:
0ok ·1usage error ·2not found ·3upstream/network error ·4circuit open or rate limited ·5unexpected upstream schema ·6missing or rejected credentials
tle and sat search include derived geometry per object: perigee/apogee altitude (km), period (minutes) and semi-major axis, computed from the mean elements.
Caching and upstream policies
Responses are cached in ~/.cache/spacedata (override with --cache-dir or XDG_CACHE_HOME):
| Source | TTL | Why |
|---|---|---|
| CelesTrak | 2 h | GP data updates every 2 h; policy asks for one download per cycle |
| Launch Library 2 | 1 h | Free tier allows 15 calls/hour per IP |
On any non-200 response the source's circuit breaker opens and spacedata refuses to query it again until the cooldown expires (CelesTrak's M2M policy requires stopping immediately on errors; ignoring it gets your IP firewalled).
Environment variables
SPACEDATA_LL2_TOKEN— Launch Library 2 API token (Patreon tiers) for higher rate limits.SPACEDATA_LL2_BASE_URL— override the LL2 base URL, e.g.https://lldev.thespacedevs.com/2.3.0(no rate limits, stale data) while developing.
Development
Bun monorepo (packages/*), TypeScript, Biome, Zod for all external data, neverthrow for results.
make setup # install deps
make build # typecheck + bundle to packages/cli/dist
make test # bun test
make check # biome lint
Run from source without building:
cd packages/cli && bun src/cli.ts tle 25544
Data sources & credits
- Orbital data: CelesTrak (Dr. T.S. Kelso)
- Launch data: Launch Library 2 by The Space Devs
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.