Baremetrics MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Baremetrics as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Baremetrics. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Baremetrics?"
)
print(response)
asyncio.run(main())
* 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 Baremetrics MCP Server
Unlock the pulse of your subscription business with Baremetrics, the leading financial analytics platform for SaaS. By connecting Baremetrics to your AI agent, you transform complex revenue data into a natural conversation. Your agent can instantly retrieve high-level metrics like MRR (Monthly Recurring Revenue), LTV (Lifetime Value), and churn rates, or dive deep into specific customer subscription histories without you ever navigating through dense financial dashboards. Whether you're preparing a board report or auditing customer health, your agent acts as a real-time CFO, ensuring your growth data is always accessible and actionable.
LlamaIndex agents combine Baremetrics tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Financial Auditing — Retrieve instant summaries of core SaaS metrics including MRR, ARR, LTV, and active customer counts via natural language.
- Customer Oversight — List and search for specific customers, auditing their internal IDs, profile details, and subscription status.
- Subscription Tracking — Access detailed logs of user subscriptions to identify upgrade patterns or potential churn risks.
- Source Management — List all available data sources and defined plans to map your entire billing ecosystem.
- Custom Timeframes — Query financial metrics for specific date ranges to analyze growth trends and seasonal performance.
The Baremetrics MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Baremetrics to LlamaIndex via MCP
Follow these steps to integrate the Baremetrics MCP Server with LlamaIndex.
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 12 tools from Baremetrics
Why Use LlamaIndex with the Baremetrics MCP Server
LlamaIndex provides unique advantages when paired with Baremetrics through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Baremetrics tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Baremetrics tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Baremetrics, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Baremetrics tools were called, what data was returned, and how it influenced the final answer
Baremetrics + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Baremetrics MCP Server delivers measurable value.
Hybrid search: combine Baremetrics real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Baremetrics 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 Baremetrics for fresh data
Analytical workflows: chain Baremetrics queries with LlamaIndex's data connectors to build multi-source analytical reports
Baremetrics MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Baremetrics to LlamaIndex via MCP:
get_account_check
Verify Baremetrics connection
get_active_customers
Convenience tool to get active customer count
get_churn_rate
Convenience tool to get user churn rate
get_customer
Get details for a specific customer
get_ltv
Convenience tool to get Customer Lifetime Value (LTV)
get_metric
Get specific data for a single metric type
get_mrr
Convenience tool to get Monthly Recurring Revenue (MRR)
list_customers
List all customers in Baremetrics
list_metrics
List high-level financial metrics summary
list_plans
List all defined plans
list_sources
List all available data sources
list_subscriptions
List all user subscriptions
Example Prompts for Baremetrics in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Baremetrics immediately.
"What is my current Monthly Recurring Revenue (MRR)?"
"Show me the top 5 customers by LTV."
"Search for a customer named 'John Smith' and show their active subscriptions."
Troubleshooting Baremetrics MCP Server with LlamaIndex
Common issues when connecting Baremetrics to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBaremetrics + LlamaIndex FAQ
Common questions about integrating Baremetrics MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Baremetrics with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Baremetrics to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
