Bring Usage Based Billing
to LangChain
Learn how to connect Metronome to LangChain 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 LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Metronome through native MCP adapters. Connect 31 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
- —
The largest ecosystem of integrations, chains, and agents. combine Metronome MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
- —
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Metronome queries for multi-turn workflows
Metronome in LangChain
Metronome and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Metronome to LangChain 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 LangChain
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 LangChain 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 LangChain
Every tool call from LangChain 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 LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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