Polar MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Polar 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 Polar. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Polar?"
)
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 Polar MCP Server
Connect your Polar account to any AI agent and take full control of your digital commerce operations through natural conversation.
LlamaIndex agents combine Polar tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Product Management — List, retrieve and audit all products (one-time, subscription, free) with pricing and metadata
- Subscription Tracking — Monitor active, canceled and past_due subscriptions with billing periods and customer info
- Order & Revenue — List completed orders with amounts, currency, payment status and customer details
- Customer Discovery — Browse customers by email, name and purchase history
- Discount Management — List, create and audit discount codes with percentage or fixed-amount types
- Checkout Operations — Create checkout sessions for products and track open, expired and confirmed checkouts
- Webhook Audit — Review configured webhook endpoints and their subscribed events
The Polar MCP Server exposes 10 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 Polar to LlamaIndex via MCP
Follow these steps to integrate the Polar 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 10 tools from Polar
Why Use LlamaIndex with the Polar MCP Server
LlamaIndex provides unique advantages when paired with Polar through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Polar tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Polar tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Polar, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Polar tools were called, what data was returned, and how it influenced the final answer
Polar + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Polar MCP Server delivers measurable value.
Hybrid search: combine Polar real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Polar 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 Polar for fresh data
Analytical workflows: chain Polar queries with LlamaIndex's data connectors to build multi-source analytical reports
Polar MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Polar to LlamaIndex via MCP:
create_checkout
Requires the product ID. Optionally associate with an existing customer and apply a discount. Returns the checkout session with its URL that you can redirect customers to for payment. Create a new checkout session in Polar
create_discount
Requires the name, code, type (percentage or fixed_amount), and amount. Optionally set the duration (once, forever, repeating). The discount can be applied during checkout. Create a new discount code in Polar
get_product
Provide the product ID (UUID format). Get details for a specific Polar product
list_checkouts
Each checkout shows its status (open, expired, confirmed), associated product, customer, and creation date. Useful for tracking abandoned and completed checkouts. List checkout sessions in your Polar store
list_customers
Each customer shows their email, name, billing address, and metadata. Optionally filter by email to find a specific customer. List customers in your Polar store
list_discounts
Each discount shows its code, type (percentage, fixed_amount), amount, duration (once, forever, repeating), and active status. Use this to audit your promotional offers. List discount codes in your Polar store
list_orders
Each order shows the customer, product, amount, currency, payment status, and creation date. Useful for tracking revenue and verifying successful transactions. List orders in your Polar store
list_products
Each product includes its name, description, price, type (one-time, subscription, free), and metadata. Use this to audit your product catalog and see what you are selling. List products in your Polar store
list_subscriptions
Each subscription shows the customer, product, status (active, past_due, canceled, expired, incomplete, trialing), current period start/end dates, and amount. Optionally filter by status and set a limit. List subscriptions in your Polar store
list_webhooks
Each webhook shows its URL, subscribed events (order.created, subscription.active, etc.), and status. Use this to audit your event integrations. List webhook endpoints in your Polar store
Example Prompts for Polar in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Polar immediately.
"Show me all active subscriptions and their total monthly revenue."
"Create a 20% discount code called 'LAUNCH20' for the summer sale."
"Show me all orders from the last 30 days."
Troubleshooting Polar MCP Server with LlamaIndex
Common issues when connecting Polar to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPolar + LlamaIndex FAQ
Common questions about integrating Polar 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 Polar 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 Polar to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.