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How to Use the Infracost MCP in AutoGen

Q: How do AutoGen agents resolve Infracost guardrail violations?

One agent runs listguardrails to identify active budget limits. When a proposed plan violates a rule, a FinOps agent debates alternative instance sizes with the developer agent until the cost drops below the threshold.

Q: Can AutoGen manage custom Infracost price books?

Yes. The agents coordinate to run ingestpricebook and monitor the ingestion status. Once active, they run updateorganization to ensure all subsequent cost debates use your actual contract pricing.

Q: How do I configure the Infracost MCP Server for AutoGen?

Install autogen-extmcp and use mcpservertools with your Vinkius server URL. Pass the generated tools list directly into your AssistantAgent constructor.

Q: What happens if a price book upload fails?

The agent polling getpricebook detects the failure status and alerts the coordinator agent. The coordinator then pulls a new upload link using getpricebookfilesurl to retry the process.

Let your AutoGen agents debate cloud architecture trade-offs using real-time Infracost budget data in AutoGen.

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Connect Infracost MCP to AutoGen

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

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Setup Infracost with AutoGen

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Consensus-Driven Budget Guardrails in AutoGen

Your AutoGen security agent runs `create_guardrail` via the MCP server to block expensive plans, while the developer agent pushes for larger instances. They debate the cost impact of the architecture until they reach a compromise that fits the budget. The agents use `get_guardrail` to pull the exact policy parameters during their conversation. This ensures their debate is grounded in hard organizational rules rather than guesswork.

Multi-Agent Price Negotiation using MCP Server

When designing new infrastructure, a FinOps agent uses this MCP Server to run `query_pricing` and propose cheaper resource alternatives. The deployment agent evaluates these suggestions against performance requirements. If custom enterprise rates apply, the FinOps agent triggers `create_price_book` and uploads the rate sheet via `get_price_book_files_url`. The agents then recalculate the deployment costs using your negotiated discounts.

Automated Tagging Policy Alignment

A compliance agent runs `update_tagging_policy` to ensure all provisioned resources have valid cost-center tags. If a resource lacks proper tagging, the agent flags it during the multi-agent planning phase. The agent pairs this check with `upload_custom_properties` to cross-reference internal team directories. This automated negotiation guarantees that every resource is assigned to a real budget owner before deployment.

Setup guide

Set up Infracost MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Infracost tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Infracost_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Infracost data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Infracost_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Infracost data")
    print(result.messages[-1].content)

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.

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Common questions about Infracost MCP in AutoGen

One agent runs `list_guardrails` to identify active budget limits. When a proposed plan violates a rule, a FinOps agent debates alternative instance sizes with the developer agent until the cost drops below the threshold.

Yes. The agents coordinate to run `ingest_price_book` and monitor the ingestion status. Once active, they run `update_organization` to ensure all subsequent cost debates use your actual contract pricing.

Install `autogen-ext[mcp]` and use `mcp_server_tools` with your Vinkius server URL. Pass the generated tools list directly into your `AssistantAgent` constructor.

The agent polling `get_price_book` detects the failure status and alerts the coordinator agent. The coordinator then pulls a new upload link using `get_price_book_files_url` to retry the process.

Yes. Your proprietary pricing CSVs and tagging policies are processed inside an isolated Vinkius V8 sandbox. This data is only used to run your cost calculations and is never shared or leaked.

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