Bring Usage Based Billing
to CrewAI
Learn how to connect Metronome to CrewAI and start using 31 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 Metronome MCP Server?
Connect your Metronome account to any AI agent to streamline your usage-based billing and revenue operations through natural conversation.
What you can do
- Usage Ingestion & Querying — Send usage events and retrieve aggregated usage data across customers and metrics using
ingest_eventsandget_usage. - Customer Management — Create, list, and archive customers, or manage their billing configurations via
list_customersandcreate_customer. - Billing & Invoicing — Fetch, void, or regenerate invoices and track net balances with
list_invoicesandget_net_balance. - Contract Lifecycle — Create and edit contracts, manage rate cards, and track commits using
create_contractandlist_contracts. - Alerts & Monitoring — Set up notifications, alerts, and access audit logs for billing transparency.
How it works
- Subscribe to this server
- Enter your Metronome API Token
- Start managing your billing operations from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Finance Teams — reconcile usage data and manage invoices without manual exports.
- Product Managers — analyze feature usage and billing impact in real-time.
- Engineering Teams — verify event ingestion and monitor billing services directly from the terminal.
Built-in capabilities (31)
Create a custom field key
Add a rate to a rate card
Voids invoices and archives contracts. Archive a customer
Create a threshold notification alert
Create a billable metric
Create a commit
Create a contract
Create a new customer
Create an offset lifecycle event notification
Products can be USAGE, FIXED, COMPOSITE, or SUBSCRIPTION. Create a product
Defines base prices for products. Create a rate card
). Edit a contract
Get audit logs
Get a specific customer
Get an invoice
Get net balance
Get services
Get batched usage data
Get usage data with paginated groupings
Supports up to 100,000 events per second. Ingest usage events into Metronome
List balances
List all billable metrics
List customer contracts
List pricing units
Supports filtering. List all customers
List invoices
List products
Regenerate an invoice
Designed for sampling-based testing. Search events by transaction ID
Set custom field values
Void an invoice
Why CrewAI?
When paired with CrewAI, Metronome becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Metronome 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
- —
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
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Metronome in CrewAI
Metronome and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Metronome 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 Metronome in CrewAI
The Metronome 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 31 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
Metronome for CrewAI
Every tool call from CrewAI to the Metronome MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check the current net balance for a specific customer?
Yes! Use the get_net_balance tool with the specific customer_id to retrieve the real-time balance information.
How do I see usage broken down by specific dimensions?
You can use the get_usage_groups tool. It allows you to retrieve granular usage data for a specific customer and metric, broken down by your custom grouping dimensions.
Is it possible to list all invoices for a client to check their payment history?
Absolutely. Use the list_invoices tool and provide the customer_id to see a paginated list of all invoices associated with that account.
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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