Infracost MCP Server for Pydantic AIGive Pydantic AI instant access to 13 tools to Create Guardrail, Create Price Book, Delete Guardrail, and more
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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())
* 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 guardrail on Infracost
Create a new guardrail
Create price book on Infracost
Create a custom price book for an enterprise
Delete guardrail on Infracost
Delete a guardrail
Get guardrail on Infracost
Get a specific guardrail by ID
Get price book on Infracost
Poll this to wait for SUCCESS status. Get the status and details of a price book
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 price book on Infracost
Call this after uploading the CSV to the presigned URL. Trigger ingestion of an uploaded price book CSV
List guardrails on Infracost
List all guardrails for an organization
Query pricing on Infracost
Provide a valid GraphQL query string. Query the Cloud Pricing API using GraphQL
Update guardrail on Infracost
Update an existing guardrail
Update organization on Infracost
Pass the customPriceBookId to activate it. Update organization settings, such as activating a custom price book
Update tagging policy on Infracost
Update allowed tag values for a tagging policy
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.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Infracost MCP Server
Pydantic AI provides unique advantages when paired with Infracost 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 Infracost integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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.
Type-safe data pipelines: query Infracost with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Infracost tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Infracost and output structured, schema-compliant notifications
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.
"List all cost guardrails for the organization 'acme-corp'."
"Create a new guardrail for 'acme-corp' that triggers when cost increase exceeds $200 and blocks the PR."
"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.
MCPServerHTTP not found
pip install --upgrade pydantic-aiInfracost + Pydantic AI FAQ
Common questions about integrating Infracost MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
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