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How to Use the Infracost MCP in CrewAI

Coordinate autonomous FinOps crews with the Infracost MCP Server.

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 CrewAI

Create your Vinkius account to connect Infracost to CrewAI 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 CrewAI

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Claude

Perplexity

Deploy specialized FinOps crews

Assign agents specific roles to monitor cloud bills using `list_guardrails`. One agent tracks spending while another uses `update_guardrail` to tighten limits. Your crew acts as a virtual FinOps team. They collaborate to keep your cloud budget under control without needing your constant input.

Automate price book updates

Set a dedicated agent to manage enterprise price books. It uses `get_price_book` and `ingest_price_book` to keep your organization's data current. This eliminates manual data entry. Your crew ensures that your cost estimates are always based on the most recent enterprise discounts.

Audit infrastructure costs autonomously

Use `query_pricing` to let your analysis agents inspect every proposed change. They compare costs against your organization's established policies. Your crew provides a second set of eyes on every Terraform plan. It catches budget spikes before they hit your monthly statement.

Setup guide

Set up Infracost MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Infracost tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Infracost Analyst",
    goal="Access and analyze Infracost data via MCP.",
    backstory="Expert analyst with direct Infracost access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Infracost transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Infracost Analyst",
        goal="Access and analyze Infracost data via MCP.",
        backstory="Expert analyst with direct Infracost access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Infracost transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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.

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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 CrewAI

Yes. You can assign an agent to poll your guardrails and report any cost discrepancies to the rest of the crew.

CrewAI manages the shared memory context, allowing your agents to pass cost data and policy IDs between tasks.

You can use tool filtering to ensure that only the relevant agents have access to sensitive operations like deleting guardrails.

You simply pass the server URL to the agent's MCP configuration. The agents then discover and use the available tools automatically.

The server architecture isolates your organization's cost data. Every tool call is scoped, ensuring that agents only access the specific price books you provide.

Use it with your favorite AI tools

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

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