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ncScale MCP. Monitor no-code logs and alerts from your agent.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

ncScale MCP on Cursor AI Code Editor MCP Client ncScale MCP on Claude Desktop App MCP Integration ncScale MCP on OpenAI Agents SDK MCP Compatible ncScale MCP on Visual Studio Code MCP Extension Client ncScale MCP on GitHub Copilot AI Agent MCP Integration ncScale MCP on Google Gemini AI MCP Integration ncScale MCP on Lovable AI Development MCP Client ncScale MCP on Mistral AI Agents MCP Compatible ncScale MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

ncScale lets you monitor your entire no-code infrastructure—Bubble apps, Airtable syncs, workflows—from plain chat. Your AI agent tracks logs, finds active alerts, checks node status, and lists support tickets without you opening a dashboard.

What your AI agents can do

Get alert

Gets detailed information about a single, specific monitoring alert.

Get node

Retrieves the full details and status of one monitored no-code element (node).

Get workspace info

Fetches general metadata about your entire ncScale workspace.

+ 7 more capabilities included
Get Node Details

Retrieves the full configuration and current status of any specific no-code element using its unique ID.

List Active Alerts

Pulls a list of all running alerts, allowing you to immediately see what's currently broken in your system.

View System Logs

Fetches recent execution and activity logs across every part of the no-code stack for debugging purposes.

Check Integrations

Lists all third-party tools (e.g., Bubble, Airtable) connected to your account and their current status.

List Support Tickets

Retrieves a list of monitoring support tickets associated with recent incidents or failures.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
Free for Subscribers

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AI Agent

ncScale MCP Server: 10 Tools for Observability

These tools let your AI agent access everything from live monitoring logs to user lists and specific node configurations across your entire no-code stack.

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get alert

Gets detailed information about a single, specific monitoring alert.

get019d75df

get node

Retrieves the full details and status of one monitored no-code element (node).

get019d75df

get workspace info

Fetches general metadata about your entire ncScale workspace.

list019d75df

list alerts

Pulls a list of all currently active and open monitoring alerts in the system.

list019d75df

list dashboards

Retrieves a list of custom observability dashboards available in your account.

list019d75df

list integrations

Lists all third-party services (like Bubble or Airtable) connected and monitored by ncScale.

list019d75df

list logs

Retrieves a list of recent execution logs across your entire no-code stack.

list019d75df

list nodes

Lists all the individual no-code elements that are currently being monitored by ncScale.

list019d75df

list tickets

Fetches a list of support tickets related to monitoring issues or alerts.

list019d75df

list users

Lists all user accounts that have access to the workspace.

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
Start building

Make Your AI Do More

Start with ncScale, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ 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

What you can do with this MCP connector

ncScale lets your AI agent monitor your entire no-code setup—Bubble apps, Airtable syncs, workflows—straight from a chat window. You won't have to open any dashboards just to see if something broke.

You can use this server to get instant visibility into what’s going on with your whole stack. Your agent tracks logs, finds active alerts, checks node status, and even pulls user lists without you touching a dashboard.


Checking System Status: What's Broken Right Now?

When you need to know if something’s failing, start with the alerts. You can call list_alerts to pull a rundown of every open monitoring alert running in your system. If one looks serious, you get specific details on it by calling get_alert, which gives you all the fine print on that single warning.

To see what's causing the problem, check out individual components. You can list every monitored no-code element using list_nodes. Once you have a node ID, you call get_node to get its full status and configuration details—you know exactly why it’s acting up.


Deep Dive Debugging: Why Did It Break?

Sometimes the alerts don't tell the whole story. You need history. To check system activity, you can call list_logs, which grabs a list of recent execution logs across every single part of your no-code stack for debugging purposes.

If you want a bird’s eye view of the setup, calling get_workspace_info fetches general metadata about your entire ncScale workspace. For an overview of how your data flows, you can call list_integrations, which lists every third-party service—like Bubble or Airtable—that's connected and monitored by ncScale, telling you if the connection itself is healthy.


System Management and Support

This server keeps track of who’s using it and what needs fixing. You can call list_users to get a roster of every user account that has access to this workspace. For a list of custom observability dashboards, use list_dashboards. If you run into trouble or spot an issue, calling list_tickets fetches all the support tickets related to monitoring failures or alerts.


How It Works

Your agent pulls this operational data through simple chat commands. You'll see a complete picture of your no-code health: you check node status with get_node, list all running warnings using list_alerts and get_alert, view the history via list_logs, verify connections by calling list_integrations, or pull support documentation through list_tickets. You're getting full operational transparency without leaving your chat window.

How ncScale MCP Works

  1. 1 Subscribe to the ncScale server and provide your API Key and Workspace ID.
  2. 2 Tell your AI agent what you need—for example, 'What's wrong with the user sign-up workflow?'
  3. 3 The agent calls the appropriate tool (like list_logs or get_alert), pulls the data, and summarizes it for you in plain text.

The bottom line is: your AI client acts like a remote admin console, letting you query complex operational data using simple chat prompts.

Who Is ncScale MCP For?

This is for the DevOps engineer who's tired of clicking through five different dashboards at 2 am. It’s for Ops Teams needing real-time incident status, and No-Code Developers who just want to check a node log without opening ncScale.

DevOps Engineer

Uses list_logs and list_alerts to diagnose production issues immediately after an incident alert fires.

No-Code Developer

Runs get_node on a new element to verify its configuration settings before deploying it to production.

System Administrator

Uses list_integrations and list_users to audit which third-party tools are connected or who has access privileges.

What Changes When You Connect

  • Check system health instantly. Instead of navigating to the Alerts tab, just ask your agent to list_alerts and know exactly what's broken right now.
  • Pinpoint failures fast. When something goes wrong, use list_logs to get recent execution history across all nodes, bypassing manual log searches.
  • Verify connections easily. Use list_integrations to audit which third-party tools (like Bubble) are attached and if they're reporting correctly.
  • Get deep visibility into specific components. Don’t just see a failure; use get_node with the ID to pull the full configuration details of that single node.
  • Triage incidents faster. If an alert fires, you can immediately check for related support history using list_tickets without switching context.

Real-World Use Cases

01

The Morning Status Check

It's 8 am and the product team needs a quick status report. Instead of opening three separate dashboards, they ask their agent to list_nodes and list_alerts. The agent returns a single, consolidated list showing which nodes are active and if any critical alerts exist. Problem solved in seconds.

02

Debugging an API Failure

A user reports data is missing from the CRM sync. Instead of checking the Bubble logs first, they ask the agent to list_logs for the last hour. The agent finds a specific 'Payload Error' and suggests running get_node on that workflow ID so the developer can fix the mapping.

03

Security Audit

The security team needs to know who has access to sensitive data. They ask the agent to run list_users. This quickly generates a list of all user accounts, allowing the admin to verify permissions and revoke access if necessary.

04

Pre-Deployment Check

Before deploying an update, the engineer needs to confirm that the external data source (Airtable) is connected. They ask the agent to list_integrations. The agent confirms the Airtable connection status and shows the last successful sync time.

The Tradeoffs

Checking logs manually

Going into the ncScale dashboard, selecting 'Logs,' setting a date range of 24 hours, filtering by error type, and then scrolling through hundreds of entries.

Just ask your agent: 'Show me the last 50 execution errors for the user flow.' The agent uses list_logs to filter and present only what you need.

Trying to find a node status

Opening the main dashboard, finding the node name in the list, clicking it, then checking the 'status' tab which might be buried under three different menus.

Give your agent the node ID and ask: 'What is the current status of this node?' The agent calls get_node and gives you a direct answer.

Ignoring related incidents

Seeing one critical alert pop up but not checking if there’s an existing ticket or other nodes affected by the same root cause.

First, run list_alerts to see all issues. Then, immediately call list_tickets using the incident ID found in the alerts to get context and steps taken.

When It Fits, When It Doesn't

Use this server if your primary pain point is scattered visibility across multiple operational dashboards (logs, alerts, integrations). It's perfect for diagnosing 'Why did X fail?' because it aggregates list_logs, list_alerts, and get_node data into one conversational flow. Don't use it if you need to change system settings—it's a read-only monitoring tool. If your goal is just listing who exists, stick with basic directory tools; for deep operational checks, this server handles the complexity.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ncScale. 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 server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

get_alert get_node get_workspace_info list_alerts list_dashboards list_integrations list_logs list_nodes list_tickets list_users

Debugging no-code failure shouldn't require opening three different tabs.

Right now, when a workflow fails, you’re stuck. You jump to the main dashboard, check the alert list for a red banner, then open the logs tab and try to narrow down the timeframe and error code just right. It's manual clicking hell.

With this MCP server, you tell your agent: 'What happened with Node X?' The agent runs `get_node` and `list_logs` simultaneously, spitting out a summary that points directly to the failure reason, saving you 15 minutes of dashboard hunting.

ncScale MCP Server: Get immediate operational status.

Manual checks for integrations mean logging into Bubble, then Airtable, and then checking a third-party service console just to verify if the connection is live. It's repetitive overhead.

Now you just ask your agent: 'Are my external tools connected?' The agent calls `list_integrations` and gives you an instant, verifiable report. That’s it.

Common Questions About ncScale MCP

How do I check the status of a single element using get_node? +

You provide the unique ID for the node to your agent. The tool runs get_node and sends back detailed information, including its current operational state and configuration parameters.

Can I see all active failures with list_alerts? +

Yes, running list_alerts immediately fetches a compiled list of every monitoring alert currently active on your no-code stack. It tells you which nodes are failing and why.

What is the difference between list_logs and get_node? +

get_node gives static configuration details about an element; list_logs provides a chronological record of what that node or system did over time. Think config vs. activity.

How do I check user accounts with list_users? +

Just ask the agent to run list_users. It returns all user records associated with your workspace, letting you see who has access and when they last logged in.

What information does `get_workspace_info` return about my account? +

It returns core metadata for your entire ncScale workspace. This includes general setup details and identifiers that confirm the scope of monitoring available to your agent.

How can I filter the data when calling `list_logs`? +

You can refine log results by specifying time ranges or keywords in your request. This prevents you from sifting through excessive history and focuses on recent issues.

What does `list_integrations` show regarding connected third-party tools? +

It lists every active integration linked to the workspace, such as Bubble or Airtable. You can verify which external services are authorized and currently communicating with ncScale.

When I use `get_alert`, does it provide enough detail for root cause analysis? +

The tool gives specific details on the alert, including the affected node ID and the initial trigger message. This information helps you pinpoint whether the issue is configuration-related or system failure.

How do I find my ncScale API Key? +

Log in to your ncScale account, go to your profile settings, and you will find your API Key there. Ensure you also note your Workspace ID from the URL or settings.

What no-code tools can I monitor with this server? +

You can monitor any tool currently integrated with your ncScale workspace, such as Bubble, Airtable, Make, Zapier, and more.

Can I see active incidents? +

Yes! Use the list_alerts tool to see all active monitoring alerts and list_tickets to track associated support and maintenance tasks.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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