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ProfitWell MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Churn Subscription, Create Subscription, Exclude Customer, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ProfitWell 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 for LlamaIndex

The ProfitWell MCP Server for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 12 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 ProfitWell. "
            "You have 12 tools available."
        ),
    )

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

asyncio.run(main())
ProfitWell
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* 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 ProfitWell MCP Server

Connect your ProfitWell (Paddle Metrics) account to any AI agent and take full control of your subscription revenue orchestration through natural conversation. ProfitWell provides a world-class platform for subscription intelligence, and this integration allows you to retrieve real-time metrics (MRR, Churn, LTV), manage customer history, and update subscription data directly from your chat interface.

LlamaIndex agents combine ProfitWell 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

  • Metric & Revenue Orchestration — Retrieve monthly and daily subscription metrics programmatically to maintain a clear overview of your business growth.
  • Customer Lifecycle Intelligence — Access and monitor detailed customer history, including subscription changes and churn events directly from the AI interface.
  • Subscription & Manual Data Control — Create, update, and 'un-churn' subscriptions via natural language to keep your revenue data synchronized.
  • Retention & LTV Monitoring — Retrieve retention metrics and customer lifetime value (LTV) metadata to ensure your unit economics are always optimized.
  • Operational Monitoring — Track system health and manage plan metadata using simple AI commands.

The ProfitWell MCP Server exposes 12 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 12 ProfitWell tools available for LlamaIndex

When LlamaIndex connects to ProfitWell through Vinkius, your AI agent gets direct access to every tool listed below — spanning subscription-metrics, churn-analysis, mrr-tracking, 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.

churn

Churn subscription on ProfitWell

Mark churn event

create

Create subscription on ProfitWell

Add new subscriber

exclude

Exclude customer on ProfitWell

g. test accounts). Exclude from metrics

get

Get account status on ProfitWell

Get API status

get

Get customer history on ProfitWell

Get billing history

get

Get customer ltv on ProfitWell

Get Lifetime Value

get

Get daily metrics on ProfitWell

Get daily growth stats

get

Get monthly metrics on ProfitWell

Get monthly financial stats

get

Get retention stats on ProfitWell

Get churn metrics

list

List subscription plans on ProfitWell

List product plans

unchurn

Unchurn subscription on ProfitWell

Reverse a cancellation

update

Update subscription on ProfitWell

Update subscription

Connect ProfitWell to LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from ProfitWell

Why Use LlamaIndex with the ProfitWell MCP Server

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

01

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

02

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

03

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

04

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

ProfitWell + LlamaIndex Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for ProfitWell in LlamaIndex

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

01

"List all monthly metrics for my account."

02

"Show me our MRR trend for the last 6 months with churn and expansion breakdown."

03

"Identify the top 10 customers at risk of churning based on engagement and usage patterns."

Troubleshooting ProfitWell MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

ProfitWell + LlamaIndex FAQ

Common questions about integrating ProfitWell MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query ProfitWell tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

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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