Arcsecond.io MCP for AI. Analyze celestial data & manage observatories.
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Arcsecond.io connects your AI agent directly to a massive database of astronomical data and observatory tools. Search for anything from stars to entire galaxies; check out specific telescopes, list observation sites, or pull detailed night logs for any facility.
It's the single source you need to manage complex celestial research workflows.
What your AI can do
Get account check
Verifies that your AI agent has successfully connected to the Arcsecond account.
Get object
Retrieves detailed astrophysical data for one specific celestial body using its ID or coordinates.
List datasets
Shows which scientific datasets are currently available for use with a specific observatory.
Search for specific stars, planets, or galaxies by name or criteria, retrieving their official names and precise coordinates.
Get detailed astrophysical data on any known celestial body, including visual magnitude and classifications.
Check the existing list of sites, telescopes, or datasets associated with a specific observing facility.
Pull detailed night logs to monitor ongoing research and historical calibration data.
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Arcsecond.io: 7 Tools for Astronomy Data
Use these tools through your agent to search objects, check equipment status, and pull historical observation records from any facility.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Arcsecond.io on VinkiusGet Account Check
Verifies that your AI agent has successfully connected to the Arcsecond account.
Get Object
Retrieves detailed astrophysical data for one specific celestial body using its ID...
List Datasets
Shows which scientific datasets are currently available for use with a specific...
List Night Logs
Retrieves an overview of historical observation logs and calibration records for the...
List Observing Sites
Lists all physical observing locations associated with a given observatory subdomain.
List Telescopes
Provides an inventory of telescopes installed at the specified observatory site.
Search Objects
Searches for any astronomical object, including stars, planets, and galaxies.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Arcsecond.io integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Arcsecond.io, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Arcsecond.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 7 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
The headache of managing astronomical assets
Right now, figuring out what equipment is available or how much raw data exists for a project feels like pulling teeth. You're clicking through an observatory's main dashboard, then switching to a separate asset registry just to see the telescope models; you copy over site locations into a spreadsheet, only to realize later that some of those sites aren't even active anymore.
With this MCP, your agent handles it all. Instead of manual clicks and messy cross-referencing, you simply ask for an inventory report. The system pulls together the current list of observing sites, checks the associated telescopes, and gives you a clean manifest—no copy-pasting required.
Using `list_night_logs` to audit performance
Historically, auditing an observation season meant logging into the backend portal, manually navigating through date ranges for each night, and exporting multiple CSVs. You'd spend hours stitching together fragmented reports just to get a view of operational uptime.
Now, you ask your agent to run `list_night_logs`. It compiles all that history—the successful observations, the calibration runs, everything—into one structured report. It's fast, it’s complete; you don't have to worry about missing dates.
What your AI can actually do with this
Working with deep scientific datasets—like those generated by observatories—is usually a headache of manual queries and fragmented APIs. This MCP lets your agent bypass that mess entirely. You can ask it to search for specific stellar objects, or pull up the full list of telescopes used at a certain site.
Need to track historical performance? It gathers night logs organized by local noon-to-noon cycles, so you don't have to compile dozens of CSVs yourself. When your agent hits Vinkius, it has access to this entire catalog, making complex scientific data retrieval simple conversationally. You just tell it what coordinates or type of metadata you need; the MCP handles connecting to all those background databases and giving you a clean output.
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Here's how it actually works
The bottom line is, instead of writing complex API calls in Python, you just talk to your agent and it handles the whole backend query flow.
First, your agent runs get_account_check to verify the connection credentials for the Arcsecond account.
Next, you direct it to run a search or list command, like using search_objects or calling list_telescopes, providing necessary parameters (e.g., observatory subdomain).
The MCP processes those requests against the astronomical database and returns structured data—be that coordinates for an object or a chronological list of observation logs.
Who is this actually for?
This tool is essential for professional astronomers, research data scientists, and observatory operations staff. If your job involves tracking scientific assets or analyzing historical observational records across multiple sites, you'll need this.
Needs to quickly check an object's coordinates and verify if the current facility is operational before starting a night’s observation run.
Requires bulk access to datasets or running automated queries over historical records, like using list_datasets for an analysis pipeline.
Must verify the status and inventory of all equipment, checking both available sites via list_observing_sites and current telescope health via list_telescopes.
What Changes When You Connect
Get instant object metadata: Instead of multiple lookups, using get_object pulls comprehensive details (like visual magnitude) for any star or galaxy in one go.
Simplify site inventory: You can quickly list all available observing sites and check the current telescope roster just by calling list_observing_sites and list_telescopes.
Manage historical data flow: Use list_night_logs to pull structured records of observations, letting you monitor performance cycles without manual log consolidation.
Efficient object searching: The search_objects tool lets your agent query for objects using natural language parameters, far faster than writing complex coordinate filters.
Audit data availability: Before running an analysis, call list_datasets to confirm which specific scientific datasets are ready and available for retrieval.
See it in action
Diagnosing a system failure
The ops engineer needs to know why the facility isn't running. They ask their agent to first run list_observing_sites to confirm location status, then use get_object on a known target object to check if basic data is available—pinpointing whether the issue is local or systemic.
Planning deep field observation
A researcher needs coordinates for 15 different galaxies. Instead of looking up each one, they prompt their agent with search_objects and ask it to return all RA/Dec coordinates in a single, usable list.
Building a research report
A data scientist needs to analyze the past quarter's work. They ask their agent to run list_night_logs and then use list_datasets to scope out what raw data they can pull for the final paper.
Onboarding a new team member
The PI needs an overview of all available assets. They prompt their agent to run both list_telescopes and list_datasets, getting a single report that details what equipment is present and what data pools exist.
The honest tradeoffs
Manually checking object status
Opening the website, finding the search form, entering coordinates into three different fields, then copying the result into a spreadsheet just to check one detail.
Just prompt your agent to use get_object with the necessary identifiers. It handles the entire query and returns the structured data directly for you.
Finding equipment inventory
Juggling between a site map, an asset registry PDF, and a separate telescope catalog to see what gear is actually installed at that specific location.
Ask the agent to run list_telescopes using your observatory subdomain. It compiles the full, current inventory list for you.
Tracking observation history
Logging into a backend portal, navigating through date filters, and clicking 'export' multiple times to gather all required night logs across several months.
Let the agent run list_night_logs. It gathers the chronological data automatically and presents it in one view.
When It Fits, When It Doesn't
Use this MCP if your task involves querying structured, historical, or scientific asset data—think coordinates, logs, or equipment manifests. If you need to know what was done, where, or with what specific gear, use this connector. Don't use it if you're just looking for a general fact (like 'What is the largest planet?'); those kinds of queries are better suited for basic search tools. Also, don't try to analyze data that isn't logged; always check list_datasets first.
Questions you might have
How do I find coordinates for a star using `search_objects`? +
You simply tell your agent the name of the object or type (e.g., 'spiral galaxy'). The tool returns the official coordinates, including RA/Dec values.
Can I check which telescopes are at a site using `list_telescopes`? +
Yes. You provide your observatory subdomain to the agent, and it runs list_telescopes, giving you an immediate list of all installed equipment.
What is the difference between `search_objects` and `get_object`? +
search_objects finds candidates based on a general query, while get_object requires specific object identifiers to pull deep metadata for one single item.
How do I get available raw data using `list_datasets`? +
Use the agent to call list_datasets. You'll need to provide the observatory identifier, and it will tell you exactly what datasets are ready for analysis.
Does `get_account_check` do more than just verify connection? +
No, its job is simple: it verifies your agent's access credentials to the Arcsecond account. It confirms that subsequent calls will work.
What kind of detailed metadata can I expect when using the `get_object` tool? +
The tool provides extensive astrophysical data. You'll get details like visual magnitude, object classifications, and official names for millions of celestial objects.
Does `list_night_logs` handle multiple time zones when retrieving observations? +
Night logs are organized by local noon-to-noon cycles. When reviewing historical data, always cross-reference the timestamps against your specific local system clock for accuracy.
What happens if I use `list_observing_sites` with an unrecognized observatory subdomain? +
If the domain isn't recognized, it means we haven't established a connection to that facility. You must first verify your account credentials or contact support before running site listing commands.
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.
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