# celestrak.satellite.search

Search the NORAD satellite catalog by name substring (case-insensitive). Returns all satellites whose name contains the query string, each with NORAD catalog number, international designator (COSPAR ID), epoch, and full orbital element set. Useful for finding the NORAD IDs and TLEs of satellites by operator or mission name (e.g. "STARLINK" returns all ~6000 Starlink satellites, "NOAA" returns NOAA weather sats, "GPS" returns GPS block satellites, "FENGYUN" returns Chinese weather satellites, "ISS" returns ISS modules). Data from US Space Force via CelesTrak, no auth required.

Agent View of the PolicyLayer registry record for `celestrak.satellite.search`. HTML page: https://policylayer.com/tools/io-github-whiteknightonhorse-apibase/celestrak.satellite.search

## Facts

- Tool: `celestrak.satellite.search`
- Server: Apibase (`apibase-mcp-client`) — https://policylayer.com/tools/io-github-whiteknightonhorse-apibase.md
- Install: `npx -y apibase-mcp-client`
- Homepage: https://github.com/whiteknightonhorse/APIbase
- Risk category: Write (Medium risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 1 (1 required)
- Recommended policy verdict: Rate-limited

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `name` | string | yes | Satellite name substring to search (case-insensitive). Examples: "ISS", "STARLINK", "GPS", "NOAA", "GOES", "HUBBLE", "FENGYUN". Returns all satellites whose nam |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "celestrak.satellite.search",
    "arguments": {
      "name": "<name>"
    }
  }
}
```

## Why celestrak.satellite.search is rated Medium

An AI agent can call celestrak.satellite.search faster than any human can review: one bad instruction and it creates or modifies resources in Apibase by the hundred, each call as confident as the last.

## Use case

AI agents use celestrak.satellite.search to create or update resources in Apibase, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Apibase environment.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Apibase:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "celestrak.satellite.search": {
      "limits": [
        {
          "counter": "celestrak.satellite.search_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}
```

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## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-whiteknightonhorse-apibase · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-whiteknightonhorse-apibase