Bring Esa
to CrewAI
Learn how to connect ESA Near Earth Objects to CrewAI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the ESA Near Earth Objects MCP Server?
Connect to the European Space Agency Near-Earth Object Coordination Centre (NEOCC) and access the most authoritative asteroid monitoring data in Europe.
What you can do
- Close Approaches — Retrieve upcoming and recent asteroid flybys with miss distances in kilometers, astronomical units, and lunar distances, plus diameter and relative velocity
- Impact Risk Assessment — Access the official ESA risk list and special risk list of asteroids with non-zero cumulative impact probability, including Palermo Scale and Torino Scale ratings
- Object-Level Intelligence — Query orbital elements, physical properties (diameter, albedo, spectral type), and computed ephemerides for any known near-Earth object by designation
- Planetary Defence Monitoring — Access the Aegis impact monitoring table and priority observation lists used by ESA Space Safety
How it works
- Subscribe to this server
- No API key required — the ESA NEOCC is a public service
- Start querying asteroid data from Claude, Cursor, or any MCP-compatible client
Your AI agent becomes a planetary defence analyst with direct access to ESA mission-critical data. All information is sourced from the ESA Space Safety programme and updated multiple times daily.
Who is this for?
- Researchers & Astronomers — access orbital elements and ephemerides for observation planning without navigating complex web portals
- Science Communicators — instantly retrieve upcoming asteroid flyby data for articles and social media
- Planetary Defence Professionals — monitor risk lists and impact tables programmatically for rapid response workflows
- Space Enthusiasts — explore the asteroid catalog and track objects approaching Earth in near real-time
Built-in capabilities (12)
Returns the connection status and service URL. Use this to verify the integration is working correctly. Verify ESA NEOCC API connectivity
Returns designations only. Warning: this list contains thousands of entries. Use for comprehensive audits or when searching for a specific designation. Get the complete catalog of all known near-Earth asteroids
Lists virtual impactors with their projected impact dates, impact probabilities, and Palermo Scale values. This is the primary ESA output for planetary defence risk assessment. Get impact monitoring data for potentially hazardous objects
g., "2024YR4", "99942 Apophis"). Returns miss distance, date, velocity, and brightness for each encounter. Use URL-encoded designations for objects with spaces. Get all close approaches for a specific asteroid
Returns right ascension, declination, distance, and visual magnitude at each timestep. Useful for planning telescope observations or determining current sky position. Get ephemerides for a specific asteroid
Essential for trajectory computation and impact probability assessment. Get orbital elements for a specific asteroid
Data sourced from the ESA NEOCC physical properties database. Get physical properties of a specific asteroid
These objects have incomplete orbital arcs and could be reclassified with additional tracking data. Get priority NEOs requiring follow-up observation
Useful for reviewing past flyby events and validating orbital predictions. Get recent asteroid close approaches that already occurred
Each entry includes the object designation, estimated diameter, cumulative impact probability (IP), Palermo Scale value (PS), and Torino Scale rating. Objects on this list are being actively monitored by the ESA Planetary Defence Office. Get the ESA asteroid impact risk list
These objects have heightened scientific interest for planetary defence. Get the ESA special priority risk list
Data is updated multiple times per day directly from the ESA Space Safety programme. Get upcoming asteroid close approaches to Earth
Why CrewAI?
When paired with CrewAI, ESA Near Earth Objects becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call ESA Near Earth Objects tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
ESA Near Earth Objects in CrewAI
ESA Near Earth Objects and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ESA Near Earth Objects to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for ESA Near Earth Objects in CrewAI
The ESA Near Earth Objects MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
ESA Near Earth Objects for CrewAI
Every tool call from CrewAI to the ESA Near Earth Objects MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Do I need an API key to use this server?
No. The ESA NEOCC API is completely public and requires no authentication. Simply subscribe to this server and enter any placeholder value in the API key field to start querying asteroid data immediately.
How often is the asteroid data updated?
The ESA NEOCC updates its close approach data, risk lists, and impact monitoring tables multiple times per day. Orbital elements and physical properties are updated whenever new observational data becomes available from ground-based telescopes worldwide.
Can I query data for a specific asteroid like Apophis?
Yes! Use the object-specific tools with the asteroid's designation. For example, query orbital elements for '99942' (Apophis), or get close approaches for '2024YR4'. The designation should match the official IAU format used in the NEOCC database.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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