$Infracost logo$

How to Use the Infracost MCP in OpenAI Agents SDK

Q: How do I connect the Infracost MCP Server to the OpenAI Agents SDK?

Install openai-agents first. Initialize MCPServerStreamableHttp pointing to your Vinkius endpoint, and pass it in the mcpservers list to your Agent. Set cacheToolsList=True to speed up tool discovery.

Q: Can my OpenAI agent query custom cloud rates directly?

Yes, the agent runs querypricing using a GraphQL query string to get live pricing data. This returns the exact negotiated rate instead of public retail prices.

Q: How does the OpenAI Agents SDK handle Infracost guardrail failures?

The agent reads the block status from getguardrail and halts the pipeline. The SDK's built-in guardrails catch this status and trigger a handoff to a human operator or a rollback agent.

Q: Does this Infracost MCP integration slow down my OpenAI Agents SDK runs?

No, caching is handled natively. Enabling cacheToolsList=True in the SDK parameters prevents the agent from querying the server structure on every single run.

Run real-time cloud cost checks in your OpenAI Agents SDK pipelines before code deploys to production.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

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

MCP Servers - Free for Subscribers

Connect Infracost MCP to OpenAI Agents SDK

Create your Vinkius account to connect Infracost to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Infracost with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Prevent cloud budget spikes in OpenAI Agents SDK

The `create_guardrail` tool lets your OpenAI agent establish hard limits on cloud spend during automated runs. Your agent evaluates proposed infrastructure changes and blocks deployments that exceed your budget thresholds. This setup uses the SDK's built-in guardrails to validate these financial limits before execution. By calling `list_guardrails` and `get_guardrail`, your agent verifies that every Terraform change complies with your team's fiscal boundaries.

Custom pricing injection with this MCP Server

The `create_price_book` tool handles your custom enterprise discounts directly within your agent workflows. Your agent uploads CSV files using `get_price_book_files_url` and tracks the import progress with `get_price_book`. The OpenAI Agents SDK manages the handoff between your specialized cost estimator agent and your deployment agent. Once `ingest_price_book` finishes, your agent calls `update_organization` to activate the negotiated rates, making sure your LLM works with actual contract pricing.

Automated tagging policy enforcement

The `update_tagging_policy` tool updates your allowed tag values to keep your cloud resources organized. Your agent reads current resource tags and aligns them with your corporate taxonomy. You can upload custom corporate metadata via `upload_custom_properties` to map cloud costs back to specific teams. The OpenAI dashboard traces these calls, showing you exactly how your agent applies tags during the run.

Setup guide

Set up Infracost MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Infracost tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Infracost tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Infracost tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Infracost Agent",
            instructions="You have access to Infracost tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Infracost. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Infracost now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Infracost MCP in OpenAI Agents SDK

Install `openai-agents` first. Initialize `MCPServerStreamableHttp` pointing to your Vinkius endpoint, and pass it in the `mcp_servers` list to your Agent. Set `cacheToolsList=True` to speed up tool discovery.

Yes, the agent runs `query_pricing` using a GraphQL query string to get live pricing data. This returns the exact negotiated rate instead of public retail prices.

The agent reads the block status from `get_guardrail` and halts the pipeline. The SDK's built-in guardrails catch this status and trigger a handoff to a human operator or a rollback agent.

No, caching is handled natively. Enabling `cacheToolsList=True` in the SDK parameters prevents the agent from querying the server structure on every single run.

It only transmits CSV files containing custom price books, GraphQL query strings, and tagging policies. No Terraform state files or cloud provider credentials ever leave the secure Vinkius sandboxed environment.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript