4,000+ servers built on vurb.ts
Vinkius

Infracost MCP Server for Pydantic AIGive Pydantic AI instant access to 13 tools to Create Guardrail, Create Price Book, Delete Guardrail, and more

MCP Inspector GDPR Free for Subscribers

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

Ask AI about this MCP Server for Pydantic AI

The Infracost MCP Server for Pydantic AI is a standout in the Loved By Devs category — giving your AI agent 13 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
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 Infracost "
            "(13 tools)."
        ),
    )

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

asyncio.run(main())
Infracost
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 Infracost MCP Server

Connect Infracost to your AI agent to bring financial visibility and governance to your Infrastructure as Code (IaC) workflows. Prevent cloud cost surprises before they happen.

Pydantic AI validates every Infracost tool response against typed schemas, catching data inconsistencies at build time. Connect 13 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

  • Cost Guardrails — List, create, and manage guardrails that trigger alerts or block Pull Requests when cost increases exceed your defined thresholds.
  • Tagging Governance — Enforce organizational standards by updating tagging policies, ensuring all cloud resources are correctly attributed to departments or projects.
  • Custom Pricing — Manage enterprise-specific price books for AWS and Azure to ensure cost estimates reflect your actual negotiated discounts.
  • Business Context — Upload custom properties from external systems like ServiceNow or Backstage to map cloud costs to your internal organizational hierarchy.
  • Pricing Queries — Programmatically query cloud pricing data to compare costs across different resource types and regions.

The Infracost MCP Server exposes 13 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 13 Infracost tools available for Pydantic AI

When Pydantic AI connects to Infracost through Vinkius, your AI agent gets direct access to every tool listed below — spanning terraform, cloud-cost, finops, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create guardrail on Infracost

Create a new guardrail

create

Create price book on Infracost

Create a custom price book for an enterprise

delete

Delete guardrail on Infracost

Delete a guardrail

get

Get guardrail on Infracost

Get a specific guardrail by ID

get

Get price book on Infracost

Poll this to wait for SUCCESS status. Get the status and details of a price book

get

Get price book files url on Infracost

Use the returned URL to PUT the CSV file. Get a presigned URL to upload a price book CSV

ingest

Ingest price book on Infracost

Call this after uploading the CSV to the presigned URL. Trigger ingestion of an uploaded price book CSV

list

List guardrails on Infracost

List all guardrails for an organization

query

Query pricing on Infracost

Provide a valid GraphQL query string. Query the Cloud Pricing API using GraphQL

update

Update guardrail on Infracost

Update an existing guardrail

update

Update organization on Infracost

Pass the customPriceBookId to activate it. Update organization settings, such as activating a custom price book

update

Update tagging policy on Infracost

Update allowed tag values for a tagging policy

upload

Upload custom properties on Infracost

g., from ServiceNow or Backstage) for cost attribution. Provide raw CSV data. Upload custom business properties via CSV

Connect Infracost to Pydantic AI via MCP

Follow these steps to wire Infracost into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 13 tools from Infracost with type-safe schemas

Why Use Pydantic AI with the Infracost MCP Server

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

01

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

02

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

03

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

04

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

Infracost + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Infracost in Pydantic AI

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

01

"List all cost guardrails for the organization 'acme-corp'."

02

"Create a new guardrail for 'acme-corp' that triggers when cost increase exceeds $200 and blocks the PR."

03

"Update the tagging policy for 'acme-corp' to make the 'Environment' tag mandatory."

Troubleshooting Infracost MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Infracost + Pydantic AI FAQ

Common questions about integrating Infracost MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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

Explore More MCP Servers

View all →