Bring Terraform
to CrewAI
Learn how to connect Infracost to CrewAI and start using 13 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your Infracost API Token
- Start managing your cloud governance from Claude, Cursor, or any MCP-compatible client
Who is this for?
- DevOps Engineers — automate the enforcement of cost policies and tagging standards directly within the CI/CD flow.
- FinOps Teams — gain real-time visibility into infrastructure spend and manage custom enterprise discounts without manual spreadsheets.
- Engineering Managers — set budget thresholds and receive automated summaries of cost impacts for proposed infrastructure changes.
Built-in capabilities (13)
Create a new guardrail
Create a custom price book for an enterprise
Delete a guardrail
Get a specific guardrail by ID
Poll this to wait for SUCCESS status. Get the status and details of a price book
Use the returned URL to PUT the CSV file. Get a presigned URL to upload a price book CSV
Call this after uploading the CSV to the presigned URL. Trigger ingestion of an uploaded price book CSV
List all guardrails for an organization
Provide a valid GraphQL query string. Query the Cloud Pricing API using GraphQL
Update an existing guardrail
Pass the customPriceBookId to activate it. Update organization settings, such as activating a custom price book
Update allowed tag values for a tagging policy
g., from ServiceNow or Backstage) for cost attribution. Provide raw CSV data. Upload custom business properties via CSV
Why CrewAI?
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.
- —
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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter 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
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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 in CrewAI
Infracost and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Infracost to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Infracost in CrewAI
The Infracost 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. All 13 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Infracost for CrewAI
Every tool call from CrewAI to the Infracost MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I see all active cost guardrails for my organization?
You can use the list_guardrails tool by providing your organization slug. The agent will return a list of all configured thresholds, including cost increase limits and whether they block PRs.
Can I enforce mandatory tags for my cloud resources using this server?
Yes! Use the update_tagging_policy tool to define mandatory tag keys and allowed values. This helps maintain standards across all your repositories.
Is it possible to block expensive Pull Requests automatically?
Absolutely. When using create_guardrail or update_guardrail, you can set the blockPr parameter to true. This ensures that any infrastructure change exceeding your budget cannot be merged without review.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard 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?
Yes. Each agent has its own 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?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using 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)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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