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.

ncScale MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: ncScale
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ncScale through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to ncScale "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in ncScale?"
    )
    print(result.data)

asyncio.run(main())

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60%Token savings

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ncScale MCP Server

Connect your ncScale observability platform to your AI agent and gain full visibility into your no-code infrastructure through natural conversation.

Pydantic AI validates every ncScale tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Node Monitoring — List all no-code elements (nodes) being monitored and get detailed configuration and status updates.
Real-time Logs — Access recent activity and execution logs across your entire no-code stack.
Incident Management — Track active alerts and associated support tickets to ensure high availability.
Dashboards & Insights — View your custom observability dashboards and workspace metadata.
Integration Oversight — Monitor third-party tools (Bubble, Airtable, etc.) connected to your ncScale account.
Deep Inspection — Fetch complete metadata for specific nodes or alerts using their unique IDs.

The ncScale MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 ncScale to Pydantic AI via MCP

Follow these steps to integrate the ncScale MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from ncScale with type-safe schemas

Why Use Pydantic AI with the ncScale MCP Server

Pydantic AI provides unique advantages when paired with ncScale through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ncScale integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your ncScale connection logic from agent behavior for testable, maintainable code

ncScale + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the ncScale MCP Server delivers measurable value.

Type-safe data pipelines: query ncScale with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple ncScale tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query ncScale and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock ncScale responses and write comprehensive agent tests

ncScale MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect ncScale to Pydantic AI via MCP:

get_alert

Get specific alert info

get_node

Get specific node details

get_workspace_info

Get workspace metadata

list_alerts

List active monitoring alerts

list_dashboards

List observability dashboards

list_integrations

g., Bubble, Airtable) connected to ncScale. List active integrations

list_logs

List monitoring logs

list_nodes

List monitored no-code nodes

list_tickets

List monitoring tickets

list_users

List workspace users

Example Prompts for ncScale in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with ncScale immediately.

"List all monitored nodes in my ncScale workspace."

"Show me the latest monitoring logs."

"Check if there are any active alerts right now."

Troubleshooting ncScale MCP Server with Pydantic AI

Common issues when connecting ncScale to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ncScale + Pydantic AI FAQ

Common questions about integrating ncScale MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your ncScale MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.