$Infracost logo$

How to Use the Infracost MCP in LangChain

Q: How does LangChain use Infracost to block expensive deployments?

Your LangChain agent calls createguardrail to set budget limits during the CI/CD run. If a Terraform plan exceeds this limit, the agent catches the violation in the chain and halts the deployment.

Q: Can I query custom cloud discounts in LangChain with Infracost?

Yes. Your agent runs querypricing using GraphQL to pull your exact negotiated rates. You must first upload your price sheet using ingestpricebook to make those custom rates queryable.

Q: What is the setup process for this Infracost MCP Server in LangChain?

Install langchain-mcp-adapters and initialize MultiServerMCPClient pointing to the Vinkius endpoint. Pass the tools retrieved from client.gettools() directly to your LangChain agent constructor.

Q: How do custom business properties get mapped to cloud costs?

You run uploadcustomproperties to send CSV data containing your business structure to the server. The agent then correlates these properties with your Terraform cost estimates.

Prevent surprise cloud bills by chaining Infracost cost checks directly into your LangChain multi-step reasoning pipelines.

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 LangChain

Create your Vinkius account to connect Infracost to LangChain 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 LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Cost Guardrails in LangChain Pipelines

Your LangChain agent runs `create_guardrail` via the MCP server to enforce budget limits before code hits production. This tool sets hard thresholds on your Terraform runs, stopping runaway cloud spend before it starts. LangSmith traces every step of this process, showing you the exact inputs and outputs of `list_guardrails` and `get_guardrail`. You get full visibility into how your agent evaluates cost rules without digging through raw logs.

Custom Enterprise Price Books via MCP Server

Large teams do not pay list price for cloud resources, so this MCP Server lets your LangChain chain run `create_price_book` to ingest negotiated rates. The agent fetches a presigned upload link with `get_price_book_files_url` and kicks off the ingestion using `ingest_price_book`. Once uploaded, the agent updates your organizational profile via `update_organization` to activate the new rates. This ensures your cost estimates match your actual enterprise discounts instead of generic public pricing.

Automated Tagging Policy Enforcement

Missing tags break cost allocation, which is why your LangChain agent executes `update_tagging_policy` to keep infrastructure organized. The agent checks current resources against your standards and updates allowed values dynamically. Coupling this with `upload_custom_properties` lets you pull metadata from internal catalogs to map costs to specific cost centers. Your chain handles the entire reconciliation loop without manual developer intervention.

Setup guide

Set up Infracost MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Infracost tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "infracost-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Infracost transactions"
    })
    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.

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 LangChain

Your LangChain agent calls `create_guardrail` to set budget limits during the CI/CD run. If a Terraform plan exceeds this limit, the agent catches the violation in the chain and halts the deployment.

Yes. Your agent runs `query_pricing` using GraphQL to pull your exact negotiated rates. You must first upload your price sheet using `ingest_price_book` to make those custom rates queryable.

Install `langchain-mcp-adapters` and initialize `MultiServerMCPClient` pointing to the Vinkius endpoint. Pass the tools retrieved from `client.get_tools()` directly to your LangChain agent constructor.

You run `upload_custom_properties` to send CSV data containing your business structure to the server. The agent then correlates these properties with your Terraform cost estimates.

No. The server only processes the raw metadata required for cost estimation, such as resource types, quantities, and custom price books uploaded via `ingest_price_book`. Your sensitive infrastructure code and credentials stay secure inside the Vinkius V8 sandbox.

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