Space Industry Intelligence MCP Server

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Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf):

{
  "mcpServers": {
    "space-industry-intelligence-mcp": {
      "url": "https://ryanclinton--space-industry-intelligence-mcp.apify.actor/mcp"
    }
  }
}

---

Space industry intelligence for launch risk, orbital debris, spectrum interference, and regulatory compliance — delivered as an MCP server your AI assistant can call directly. Connect it to Claude, Cursor, or any MCP-compatible client and ask questions like "What is the launch risk for Falcon 9 this window?" or "Compare SpaceX and Rocket Lab on regulatory standing." You get a structured Composite Space Industry Score (0–100) with per-dimension breakdowns, actionable signals, and recommendations — all from live public data.

The server orchestrates 8 parallel data sources: NASA NEO tracking, Spaceflight News, Federal Register FAA/FCC filings, Congressional legislation, USPTO patents, Data.gov orbital catalogs, OFAC sanctions, and OpenCorporates corporate registries. Eight tools cover every major space industry risk dimension, from pre-launch window assessment to ITAR/EAR export control screening. Pricing is pay-per-tool-call at $0.045 — no subscription, no monthly commitment.

What data can you extract?

| Data Point | Source | Example |
|---|---|---|
| 📡 NEO proximity and hazard flags | NASA NEO Tracker | 3 potentially hazardous asteroids, closest: 4.2M km |
| 🚀 Launch incidents, scrubs, anomalies | Spaceflight News | "Falcon 9 abort — engine anomaly at T-5s" |
| 📋 FAA launch licensing rulemakings | Federal Register | 2 active launch licensing rule changes |
| 🏛️ Commercial space legislation | Congress Bills | HR 4421 — Commercial Space Launch Modernization Act |
| 🔬 Space technology patents | USPTO Patent Search | 12 active Ku-band satellite communication patents |
| 🛰️ Orbital debris catalogs | Data.gov | LEO debris density dataset, 2024 update |
| 🚫 OFAC sanctions matches | OFAC SDN List | Score: 0 — CLEAR (no SDN matches) |
| 🏢 Corporate structure and status | OpenCorporates | Active, Delaware incorporation, 2018 |
| ⚡ Space weather indicators | Data.gov + News | 2 solar flare events, geomagnetic K-index elevated |
| 🌐 Spectrum allocation disputes | Federal Register | 3 Ka-band reallocation proceedings active |
| ⚖️ ITAR/EAR export control flags | Federal Register | 1 munitions list entry flagged |
| 📊 Composite intelligence score | All 8 sources | 34/100 — MANAGEABLE |

Why use the Space Industry Intelligence MCP Server?

Manual space industry due diligence means tabbing between NASA's CNEOS portal, FCC ECFS dockets, EDGAR, Federal Register search, USPTO PatFT, and OFAC's SDN list — then synthesizing conflicting signals across all of them. A single pre-launch risk assessment typically takes an analyst 4-6 hours. A launch provider comparison across three operators can consume a full day.

This MCP server automates the entire process. One tool call queries up to 8 sources in parallel, applies sector-specific scoring models, and returns a structured intelligence report in under 2 minutes. It runs as an always-on standby server — meaning zero cold-start wait time when your AI assistant calls it.

- Scheduling — configure recurring orbital environment monitoring via Apify Scheduler to catch debris events and regulatory changes as they happen
- API access — call any tool programmatically from Python, JavaScript, or any HTTP client with an Apify token
- Parallel data retrieval — all 8 upstream sources are queried simultaneously, not sequentially, keeping latency under 2 minutes
- Monitoring — receive Slack or email alerts when space weather scores cross thresholds or sanctions results change
- Integrations — connect outputs to Zapier, Make, Google Sheets, or downstream AI workflows via webhooks

Features

- 5 independent scoring models covering launch risk, orbital debris, spectrum interference, regulatory approval timeline, and space weather — each returning a 0–100 score with labeled severity level
- Composite Space Industry Score — weighted formula: launch risk 25% + regulatory approval 25% + spectrum interference 20% + orbital debris 15% + space weather 15%
- NEO proximity risk scoring — counts potentially hazardous objects and close approaches within 7.5 million km, contributing up to 25 points to the launch risk score
- Regulatory barrier detection — scans Federal Register filings for "restrict", "prohibit", "moratorium", and "suspend" keywords; scans Congressional bills for "ban", "restrict", and "limit" signals
- Spectrum contention analysis — identifies active interference, reallocation, and auction proceedings across Ku-band, Ka-band, C-band, L-band, and S-band frequency allocations
- OFAC sanctions screening with confidence threshold — flags OFAC SDN matches at ≥70% match score; scores above 60 produce BLOCKED verdict; 30–59 requires REVIEW_REQUIRED
- ITAR/EAR export control flagging — detects "ITAR", "EAR", "export control", and "munitions" signals in Federal Register entries alongside sanctions screening
- Enabling legislation detection — regulatory approval scoring rewards streamlining bills ("authorization", "modernization", "streamline") by subtracting from the timeline risk score
- Entity verification — OpenCorporates company status check raises approval risk score when entity shows as dissolved or struck off, or when no corporate records are found
- Launch provider comparison — accepts 2–5 providers in a single call, runs full parallel intelligence per provider, and returns a ranked comparison sorted by composite score
- Compound risk bonuses — scoring models apply additional compound penalties when multiple risk factors co-occur (e.g., NEO threats + restrictive regulations in the same assessment window)
- Automatic actionable recommendations — the composite report generates specific guidance when any dimension reaches CRITICAL or BLOCKED threshold
- Standby mode deployment — runs as a persistent HTTP server on the Apify platform with zero cold-start latency for interactive AI assistant use

Use cases for space industry intelligence

Pre-launch risk assessment

Launch directors and mission planners need to assess whether the current orbital environment, regulatory climate, and industry incident frequency justify proceeding with a launch window. This tool consolidates NEO proximity data, FAA rulemaking activity, and spaceflight news sentiment into a single launch risk score with a labeled severity level from LOW_RISK to CRITICAL — enabling go/no-go decisions backed by live data rather than analyst gut feel.

Space insurance underwriting

Satellite insurers calculating risk premiums need multi-dimensional risk data across orbital debris probability, space weather impact, and launch provider operational history. The orbital_debris_analysis, space_weather_impact, and compare_launch_providers tools provide the quantitative inputs needed to differentiate risk tiers across satellite constellations and launch vehicles — without licensing proprietary underwriting data feeds.

Spectrum allocation and interference monitoring

Constellation operators and telecom regulators need to track FCC spectrum proceedings, Ka-band and Ku-band reallocation activity, and satellite patent claims that could constrain future frequency use. The spectrum_interference_check tool queries Federal Register proceedings, USPTO filings, and Congressional spectrum legislation to score interference risk and flag active contention actions before they affect operations.

Space investor and acquirer due diligence

Venture capital firms and strategic acquirers evaluating space technology companies need rapid regulatory risk scans, patent landscape assessments, and export control compliance reviews. The space_industry_report tool assembles a full 8-source intelligence dossier in one call — covering corporate entity verification, ITAR/EAR compliance signals, patent positioning, and regulatory approval risk — in the time it takes to read a press release.

ITAR/EAR export control compliance screening

Defense contractors, government agencies, and international partners transacting with space companies must screen entities for OFAC sanctions and export control compliance before contracts are signed. The satellite_sanctions_screen tool combines OFAC SDN list matching with ITAR/EAR Federal Register flag detection and OpenCorporates corporate verification to deliver a CLEAR, REVIEW_REQUIRED, or BLOCKED verdict with a supporting evidence trail.

Launch provider procurement benchmarking

Satellite operators selecting a launch vehicle need structured, comparable risk data across launch providers — not marketing materials. The compare_launch_providers tool runs parallel intelligence across 2–5 providers and returns a ranked table covering composite score, launch risk level, debris level, spectrum interference, regulatory timeline, and space weather impact — structured for direct integration into procurement scoring models.

How to use the Space Industry Intelligence MCP Server

1. Add the MCP server to your AI client — copy the standby URL https://space-industry-intelligence-mcp.apify.actor/mcp and add it to your Claude Desktop, Cursor, or Windsurf configuration with your Apify token in the Authorization header. No installation or configuration beyond that.

2. Choose your tool — ask your AI assistant in natural language ("assess the launch risk for Falcon 9"), or call a specific tool by name if you are building a pipeline. The space_industry_report tool is the best starting point for a complete overview.

3. Review the score and signals — each response returns a 0–100 score, a labeled verdict, a list of specific signals detected across the 8 data sources, and recommendations when critical thresholds are crossed.

4. Export or integrate results — the structured JSON output can be forwarded to a Google Sheet, pushed to a Slack webhook, or piped into a downstream AI workflow. Use Apify Scheduler to run recurring assessments on a daily or weekly cadence.

MCP tools

| Tool | Price | Inputs | Description |
|------|-------|--------|-------------|
| launch_risk_assessment | $0.045 | entity (required) | Score launch risk from NEO proximity, regulatory barriers, and recent industry incidents |
| orbital_debris_analysis | $0.045 | orbit (optional) | Analyze debris environment and collision risk for LEO, GEO, MEO, or custom orbital regime |
| spectrum_interference_check | $0.045 | band, operator (both optional) | Score spectrum interference risk from FCC proceedings, patent landscape, and frequency disputes |
| regulatory_approval_tracker | $0.045 | entity (required) | Track FAA/FCC approval timelines and Congressional space legislation for a company or mission type |
| space_weather_impact | $0.045 | target (optional) | Assess solar activity, geomagnetic conditions, and satellite vulnerability for a target constellation |
| satellite_sanctions_screen | $0.045 | entity (required) | Screen for OFAC sanctions matches and ITAR/EAR export control flags — returns CLEAR, REVIEW_REQUIRED, or BLOCKED |
| compare_launch_providers | $0.045 | providers (array, 2–5) | Compare launch providers on composite score, launch risk, debris, spectrum, regulatory, and weather dimensions |
| space_industry_report | $0.045 | entity (required) | Full 8-source intelligence report with composite score, all 5 dimensions, signals, and recommendations |

Tool input examples

Single entity launch risk assessment:

{

  "name": "launch_risk_assessment",

  "arguments": {

    "entity": "SpaceX Falcon 9"

  }

}

Spectrum interference check for a specific band and operator:

{

  "name": "spectrum_interference_check",

  "arguments": {

    "band": "Ka-band",

    "operator": "ViaSat"

  }

}

Compare multiple launch providers:

{

  "name": "compare_launch_providers",

  "arguments": {

    "providers": ["SpaceX", "Rocket Lab", "ULA", "Arianespace"]

  }

}

Full intelligence report on a satellite constellation:

{

  "name": "space_industry_report",

  "arguments": {

    "entity": "Starlink constellation"

  }

}

Input tips

- Use specific entity names — "SpaceX Falcon 9" returns more targeted Federal Register and patent results than "SpaceX" alone
- Specify the orbital regime for debris analysis — passing orbit: "LEO" focuses the Data.gov and news queries on low Earth orbit events rather than generic orbital content
- Run space_industry_report first — it covers all 8 sources and all 5 dimensions; use the individual tools only when you need to re-query a specific dimension after reviewing the full report
- Batch provider comparisons — comparing 4 providers in one compare_launch_providers call is more cost-efficient than 4 separate launch_risk_assessment calls, and returns a pre-sorted ranking

Output example

{
  "entity": "Rocket Lab Electron",
  "compositeScore": 28,
  "verdict": "MANAGEABLE",
  "launchRisk": {
    "score": 22,
    "neoThreats": 1,
    "regulatoryBarriers": 3,
    "riskLevel": "MODERATE",
    "signals": [
      "1 potentially hazardous asteroid — launch window risk assessment needed"
    ]
  },
  "orbitalDebris": {
    "score": 18,
    "trackedObjects": 7,
    "hazardousNEOs": 1,
    "debrisLevel": "LOW",
    "signals": []
  },
  "spectrumInterference": {
    "score": 31,
    "regulatoryActions": 4,
    "patentActivity": 6,
    "interferenceLevel": "MODERATE",
    "signals": [
      "6 spectrum/satellite patents — crowded technology landscape"
    ]
  },
  "regulatoryApproval": {
    "score": 24,
    "activeRulemakings": 5,
    "pendingBills": 2,
    "timelineLevel": "STANDARD",
    "signals": [
      "1 enabling space bills — potential regulatory streamlining"
    ]
  },
  "spaceWeather": {
    "score": 14,
    "neoActivity": 7,
    "solarIndicators": 1,
    "impactLevel": "MINOR",
    "signals": []
  },
  "allSignals": [
    "1 potentially hazardous asteroid — launch window risk assessment needed",
    "6 spectrum/satellite patents — crowded technology landscape",
    "1 enabling space bills — potential regulatory streamlining"
  ],
  "recommendations": []
}

Output fields

| Field | Type | Description |
|-------|------|-------------|
| entity | string | The input entity, mission, or topic assessed |
| compositeScore | number | Weighted composite score 0–100 (launch 25% + regulatory 25% + spectrum 20% + debris 15% + weather 15%) |
| verdict | string | Overall verdict: LOW_RISK / MANAGEABLE / ELEVATED / HIGH_RISK / CRITICAL |
| launchRisk.score | number | Launch risk sub-score 0–100 |
| launchRisk.neoThreats | number | Count of potentially hazardous NEOs in the current tracking window |
| launchRisk.regulatoryBarriers | number | Count of space-related Federal Register and Congressional items detected |
| launchRisk.riskLevel | string | LOW_RISK / MODERATE / ELEVATED / HIGH_RISK / CRITICAL |
| launchRisk.signals | string[] | Human-readable risk signals detected in this dimension |
| orbitalDebris.score | number | Orbital debris environment score 0–100 |
| orbitalDebris.trackedObjects | number | Total NEO objects tracked in the current assessment window |
| orbitalDebris.hazardousNEOs | number | Count of objects flagged as potentially hazardous |
| orbitalDebris.debrisLevel | string | MINIMAL / LOW / MODERATE / HIGH / CRITICAL |
| spectrumInterference.score | number | Spectrum interference risk score 0–100 |
| spectrumInterference.regulatoryActions | number | Count of spectrum-related Federal Register proceedings |
| spectrumInterference.patentActivity | number | Count of satellite/spectrum patents in the USPTO query results |
| spectrumInterference.interferenceLevel | string | CLEAR / LOW / MODERATE / CONGESTED / CRITICAL |
| regulatoryApproval.score | number | Regulatory approval timeline difficulty score 0–100 |
| regulatoryApproval.activeRulemakings | number | Count of active space rulemakings in the Federal Register |
| regulatoryApproval.pendingBills | number | Count of pending Congressional bills touching this entity or mission type |
| regulatoryApproval.timelineLevel | string | FAST_TRACK / STANDARD / EXTENDED / DELAYED / BLOCKED |
| spaceWeather.score | number | Space weather impact score 0–100 |
| spaceWeather.neoActivity | number | Total NEO objects in current tracking window (proxy for orbital environment density) |
| spaceWeather.solarIndicators | number | Count of solar/geomagnetic Data.gov datasets flagged |
| spaceWeather.impactLevel | string | QUIET / MINOR / MODERATE / STRONG / EXTREME |
| allSignals | string[] | Deduplicated list of all signals across all 5 dimensions |
| recommendations | string[] | Specific action recommendations generated when any dimension hits CRITICAL or BLOCKED |
| sanctionHits | number | (satellite_sanctions_screen only) OFAC SDN matches at ≥70% confidence |
| exportControlFlags | number | (satellite_sanctions_screen only) ITAR/EAR Federal Register entries detected |
| verdict (sanctions) | string | CLEAR / REVIEW_REQUIRED / BLOCKED (sanctions screen tool) |

How much does it cost to use the Space Industry Intelligence MCP?

This MCP uses pay-per-event pricing — you pay $0.045 per tool call. Platform compute costs are included.

| Scenario | Tool calls | Cost per call | Total cost |
|----------|-----------|---------------|------------|
| Quick test — single launch risk check | 1 | $0.045 | $0.045 |
| Pre-launch review — risk + regulatory + weather | 3 | $0.045 | $0.14 |
| Full due diligence — complete industry report | 1 | $0.045 | $0.045 |
| Provider comparison — 4 companies ranked | 1 | $0.045 | $0.045 |
| Weekly monitoring — 5 entities × full report | 5 | $0.045 | $0.225 |

You can set a maximum spending limit per run to control costs. The MCP stops when your budget is reached.

Compare this to commercial space intelligence data subscriptions at $500–2,000/month — with this MCP, most analyst teams spend under $5/month with no subscription commitment and no minimum seat requirements.

Connecting the Space Industry Intelligence MCP using the API

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "space-industry-intelligence": {
      "url": "https://space-industry-intelligence-mcp.apify.actor/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_APIFY_TOKEN"
      }
    }
  }
}

Python

import httpx
import json
response = httpx.post(

    "https://space-industry-intelligence-mcp.apify.actor/mcp",

    headers={

        "Content-Type": "application/json",

        "Authorization": "Bearer YOUR_APIFY_TOKEN"

    },

    json={

        "jsonrpc": "2.0",

        "method": "tools/call",

        "params": {

            "name": "space_industry_report",

            "arguments": {"entity": "Starlink constellation"}

        },

        "id": 1

    }

)
data = response.json()

result = json.loads(data["result"]["content"][0]["text"])

print(f"Composite Score: {result['compositeScore']}/100 — {result['verdict']}")

for signal in result["allSignals"]:

    print(f"  Signal: {signal}")

for rec in result["recommendations"]:

    print(f"  Recommendation: {rec}")

JavaScript

const response = await fetch("https://space-industry-intelligence-mcp.apify.actor/mcp", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "Authorization": "Bearer YOUR_APIFY_TOKEN"
  },
  body: JSON.stringify({
    jsonrpc: "2.0",
    method: "tools/call",
    params: {
      name: "launch_risk_assessment",
      arguments: { entity: "Falcon 9 Block 5" }
    },
    id: 1
  })
});
const data = await response.json();

const result = JSON.parse(data.result.content[0].text);

console.log(Launch Risk: ${result.score}/100 — ${result.riskLevel});

console.log(Regulatory Barriers: ${result.regulatoryBarriers});

console.log(NEO Threats: ${result.neoThreats});

cURL

```bash