How do I get my Arcsecond.io API Key?

Log in to your Arcsecond.io account and go to your **Profile** page. You will find your Personal API Key there.

What is an observatory subdomain?

If you are part of a specific observatory or organization on Arcsecond.io, your data is hosted on a subdomain (e.g., `myobs.arcsecond.io`). You can use this subdomain to access site-specific data.

Can I search for any astronomical object?

Yes, the `search_objects` tool allows you to search across millions of objects in the SIMBAD, Gaia, and other astronomical databases integrated into Arcsecond.io.

Arcsecond.io MCP Server for CrewAI 7 tools — connect in under 2 minutes

Name: Arcsecond.io
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 7 Tools Framework

Connect your CrewAI agents to Arcsecond.io through the Vinkius — pass the Edge URL in the `mcps` parameter and every Arcsecond.io tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Arcsecond.io Specialist",
    goal="Help users interact with Arcsecond.io effectively",
    backstory=(
        "You are an expert at leveraging Arcsecond.io tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Arcsecond.io "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 7 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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

About Arcsecond.io MCP Server

The Arcsecond.io MCP Server provides a unified natural language interface to the world's astronomical data. Connect your Arcsecond account to your AI agent to search for celestial objects, manage observatory data, and track observation night logs seamlessly.

When paired with CrewAI, Arcsecond.io becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Arcsecond.io tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

Key Features

Celestial Object Search — Search for stars, galaxies, planets, and more to retrieve official names, types, and precise coordinates (RA/Dec).
Object Metadata — Access detailed astrophysical data, including visual magnitude and classifications for millions of objects.
Observatory Management — List observing sites, telescopes, and instruments associated with your observatory subdomain.
Data Tracking — Access datasets and night logs to monitor ongoing observations and historical data collections.
Night Log Oversight — Retrieve detailed logs of observations and calibrations organized by local noon-to-noon cycles.
Global Data Access — Interface with a vast network of astronomical databases through a single, consistent API.

The Arcsecond.io MCP Server exposes 7 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Arcsecond.io to CrewAI via MCP

Follow these steps to integrate the Arcsecond.io MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 7 tools from Arcsecond.io

Why Use CrewAI with the Arcsecond.io MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Arcsecond.io through the Model Context Protocol.

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

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter 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

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Arcsecond.io + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Arcsecond.io MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Arcsecond.io for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Arcsecond.io, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Arcsecond.io tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Arcsecond.io against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Arcsecond.io MCP Tools for CrewAI (7)

These 7 tools become available when you connect Arcsecond.io to CrewAI via MCP:

get_account_check

Verify Arcsecond account connection

get_object

Get details for a specific astronomical object

list_datasets

List datasets available for an observatory

list_night_logs

List observation night logs for an observatory

list_observing_sites

List observing sites for an observatory

list_telescopes

List telescopes for an observatory

search_objects

Search for astronomical objects (stars, galaxies, planets)

Example Prompts for Arcsecond.io in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Arcsecond.io immediately.

"Search for the 'Andromeda Galaxy' and get its coordinates."

"List all observing sites for the 'lco' observatory."

"Show me recent night logs for subdomain 'my-observatory'."

Troubleshooting Arcsecond.io MCP Server with CrewAI

Common issues when connecting Arcsecond.io to CrewAI through the Vinkius, and how to resolve them.

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

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Arcsecond.io + CrewAI FAQ

Common questions about integrating Arcsecond.io MCP Server with CrewAI.

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.