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Infracost MCP Server for Mastra AIGive Mastra AI instant access to 13 tools to Create Guardrail, Create Price Book, Delete Guardrail, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Infracost through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Infracost MCP Server for Mastra 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.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "infracost": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Infracost Agent",
    instructions:
      "You help users interact with Infracost " +
      "using 13 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Infracost?"
  );
  console.log(result.text);
}

main();
Infracost
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Infracost tool infrastructure. Connect 13 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra 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 Mastra AI

When Mastra 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

Create guardrail on Infracost

Create a new guardrail

create

Create price book on Infracost

Create a custom price book for an enterprise

delete

Delete guardrail on Infracost

Delete a guardrail

get

Get guardrail on Infracost

Get a specific guardrail by ID

get

Get price book on Infracost

Poll this to wait for SUCCESS status. Get the status and details of a price book

get

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

Ingest price book on Infracost

Call this after uploading the CSV to the presigned URL. Trigger ingestion of an uploaded price book CSV

list

List guardrails on Infracost

List all guardrails for an organization

query

Query pricing on Infracost

Provide a valid GraphQL query string. Query the Cloud Pricing API using GraphQL

update

Update guardrail on Infracost

Update an existing guardrail

update

Update organization on Infracost

Pass the customPriceBookId to activate it. Update organization settings, such as activating a custom price book

update

Update tagging policy on Infracost

Update allowed tag values for a tagging policy

upload

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 Mastra AI via MCP

Follow these steps to wire Infracost into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 13 tools from Infracost via MCP

Why Use Mastra AI with the Infracost MCP Server

Mastra AI provides unique advantages when paired with Infracost through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Infracost without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Infracost tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Infracost + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Infracost MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Infracost, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Infracost as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Infracost on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Infracost tools alongside other MCP servers

Example Prompts for Infracost in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Infracost immediately.

01

"List all cost guardrails for the organization 'acme-corp'."

02

"Create a new guardrail for 'acme-corp' that triggers when cost increase exceeds $200 and blocks the PR."

03

"Update the tagging policy for 'acme-corp' to make the 'Environment' tag mandatory."

Troubleshooting Infracost MCP Server with Mastra AI

Common issues when connecting Infracost to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Infracost + Mastra AI FAQ

Common questions about integrating Infracost MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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