How do I get a DoiT API Key?

Log in to your DoiT Console, navigate to **Settings > API**, and you can generate or retrieve your unique API Key from there. Ensure your user has the necessary administrative permissions.

Which cloud platforms are supported?

DoiT supports major cloud providers including Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.

Can the agent show me real-time spending alerts?

Yes, you can use the list_cost_anomalies or list_critical_cost_spikes tools to identify unexpected spending increases across your infrastructure instantly.

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

Name: DoiT
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 DoiT 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 DoiT "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

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 DoiT MCP Server

Integrate DoiT, the leading cloud cost management and optimization platform, directly into your AI workflow. Manage your multi-cloud assets across AWS, Google Cloud, and Microsoft Azure, monitor real-time cost anomalies and budgets, and track your cloud spending using natural language.

Pydantic AI validates every DoiT 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

Cloud Oversight — List and retrieve detailed configuration and cost data for all your cloud assets and connected accounts.
Anomaly Intelligence — Monitor real-time cost anomalies and unexpected spending spikes across your cloud infrastructure.
Budget Monitoring — Track cloud spending budgets, threshold limits, and current consumption percentages.
Cost Auditing — Retrieve high-level summaries of total cloud expenditure and identify high-severity cost spikes instantly.

The DoiT 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 DoiT to Pydantic AI via MCP

Follow these steps to integrate the DoiT 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 DoiT with type-safe schemas

Why Use Pydantic AI with the DoiT MCP Server

Pydantic AI provides unique advantages when paired with DoiT 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 DoiT integration code

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

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

DoiT + Pydantic AI Use Cases

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

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

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

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

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

DoiT MCP Tools for Pydantic AI (10)

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

get_asset_details

Get detailed configuration and cost data for a specific cloud asset

get_billing_cost_summary

Retrieve a high-level summary of total cloud spending across all platforms

get_doit_account_metadata

Retrieve metadata for the current DoiT organization

list_cloud_assets

List all cloud assets (AWS, GCP, Azure) managed by DoiT

list_connected_cloud_accounts

List all connected AWS, GCP, or Azure accounts

list_cost_anomalies

List all detected cloud cost anomalies and unexpected spending spikes

list_cost_budgets

List all cloud spending budgets configured in DoiT

list_critical_cost_spikes

Identify high-severity cost anomalies that require immediate attention

list_exceeded_cost_budgets

Identify budgets that have exceeded their configured spending limits

search_cloud_assets

Search for cloud assets using a name keyword

Example Prompts for DoiT in Pydantic AI

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

"Show me our total cloud cost summary."

"Are there any critical cost anomalies right now?"

"List all budgets that have exceeded 100% consumption."

Troubleshooting DoiT MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

DoiT + Pydantic AI FAQ

Common questions about integrating DoiT 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 DoiT MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.