Metronome MCP Server for LlamaIndexGive LlamaIndex instant access to 31 tools to Add Custom Field Key, Add Rate, Archive Customer, and more

Name: Metronome
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Metronome as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Metronome MCP Server for LlamaIndex is a standout in the Data Management category — giving your AI agent 31 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Metronome. "
            "You have 31 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Metronome?"
    )
    print(response)

asyncio.run(main())

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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 Metronome MCP Server

Connect your Metronome account to any AI agent to streamline your usage-based billing and revenue operations through natural conversation.

LlamaIndex agents combine Metronome tool responses with indexed documents for comprehensive, grounded answers. Connect 31 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Usage Ingestion & Querying — Send usage events and retrieve aggregated usage data across customers and metrics using ingest_events and get_usage.
Customer Management — Create, list, and archive customers, or manage their billing configurations via list_customers and create_customer.
Billing & Invoicing — Fetch, void, or regenerate invoices and track net balances with list_invoices and get_net_balance.
Contract Lifecycle — Create and edit contracts, manage rate cards, and track commits using create_contract and list_contracts.
Alerts & Monitoring — Set up notifications, alerts, and access audit logs for billing transparency.

The Metronome MCP Server exposes 31 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 31 Metronome tools available for LlamaIndex

When LlamaIndex connects to Metronome through Vinkius, your AI agent gets direct access to every tool listed below — spanning usage-based-billing, revenue-operations, metering, 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.

add

Add custom field key on Metronome

Create a custom field key

add

List invoices

list

List products on Metronome

List products

regenerate

Regenerate invoice on Metronome

Regenerate an invoice

Search events on Metronome

Designed for sampling-based testing. Search events by transaction ID

set

Set custom field values on Metronome

Set custom field values

void

Void invoice on Metronome

Void an invoice

Connect Metronome to LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 31 tools from Metronome

Why Use LlamaIndex with the Metronome MCP Server

LlamaIndex provides unique advantages when paired with Metronome through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Metronome tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Metronome tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Metronome, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Metronome tools were called, what data was returned, and how it influenced the final answer

Metronome + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Metronome MCP Server delivers measurable value.

Hybrid search: combine Metronome real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Metronome to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Metronome for fresh data

Analytical workflows: chain Metronome queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Metronome in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Metronome immediately.

"List all customers currently registered in Metronome."

"Show me the usage data for customer cust_821 for the last 30 days."

"Retrieve the details and status for invoice inv_556677."

Troubleshooting Metronome MCP Server with LlamaIndex

Common issues when connecting Metronome to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Metronome + LlamaIndex FAQ

Common questions about integrating Metronome MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Metronome tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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