Infracost MCP Server for CrewAIGive CrewAI instant access to 13 tools to Create Guardrail, Create Price Book, Delete Guardrail, and more
GDPR Free for SubscribersConnect your CrewAI agents to Infracost through Vinkius, pass the Edge URL in the `mcps` parameter and every Infracost tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
Ask AI about this MCP Server for CrewAI
The Infracost MCP Server for CrewAI is a standout in the Loved By Devs category — giving your AI agent 13 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminifrom crewai import Agent, Task, Crew
agent = Agent(
role="Infracost Specialist",
goal="Help users interact with Infracost effectively",
backstory=(
"You are an expert at leveraging Infracost tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Infracost "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 13 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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.
When paired with CrewAI, Infracost becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Infracost tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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 CrewAI 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 CrewAI
When CrewAI 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 guardrail on Infracost
Create a new guardrail
Create price book on Infracost
Create a custom price book for an enterprise
Delete guardrail on Infracost
Delete a guardrail
Get guardrail on Infracost
Get a specific guardrail by ID
Get price book on Infracost
Poll this to wait for SUCCESS status. Get the status and details of a price book
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 price book on Infracost
Call this after uploading the CSV to the presigned URL. Trigger ingestion of an uploaded price book CSV
List guardrails on Infracost
List all guardrails for an organization
Query pricing on Infracost
Provide a valid GraphQL query string. Query the Cloud Pricing API using GraphQL
Update guardrail on Infracost
Update an existing guardrail
Update organization on Infracost
Pass the customPriceBookId to activate it. Update organization settings, such as activating a custom price book
Update tagging policy on Infracost
Update allowed tag values for a tagging policy
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 CrewAI via MCP
Follow these steps to wire Infracost into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install CrewAI
pip install crewaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comCustomize the agent
role, goal, and backstory to fit your use caseRun the crew
python crew.py. CrewAI auto-discovers 13 tools from InfracostWhy Use CrewAI with the Infracost MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Infracost through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Infracost + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Infracost MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Infracost for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Infracost, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Infracost tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Infracost against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Example Prompts for Infracost in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Infracost immediately.
"List all cost guardrails for the organization 'acme-corp'."
"Create a new guardrail for 'acme-corp' that triggers when cost increase exceeds $200 and blocks the PR."
"Update the tagging policy for 'acme-corp' to make the 'Environment' tag mandatory."
Troubleshooting Infracost MCP Server with CrewAI
Common issues when connecting Infracost to CrewAI through Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Infracost + CrewAI FAQ
Common questions about integrating Infracost MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Explore More MCP Servers
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