Lemon Squeezy MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Lemon Squeezy as an MCP tool provider through the 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 Lemon Squeezy. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Lemon Squeezy?"
)
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 Lemon Squeezy MCP Server
Connect your Lemon Squeezy account to any AI agent to automate your software sales and subscription management. This MCP server enables your agent to interact with stores, products, orders, and customer subscriptions directly from natural language interfaces using the JSON:API standard.
LlamaIndex agents combine Lemon Squeezy tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through the 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
- Store Oversight — List all your Lemon Squeezy stores and retrieve detailed configurations and metadata
- Product Management — Query your entire product catalog, including pricing, status, and purchase URLs
- Order Tracking — List and retrieve detailed information for customer orders, including financial totals and payment status
- Subscription Lifecycle — Monitor active subscriptions, retrieve renewal dates, and cancel plans when necessary
- Customer CRM — Manage customer profiles and retrieve their complete purchase and subscription history
The Lemon Squeezy MCP Server exposes 11 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 Lemon Squeezy to LlamaIndex via MCP
Follow these steps to integrate the Lemon Squeezy 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 11 tools from Lemon Squeezy
Why Use LlamaIndex with the Lemon Squeezy MCP Server
LlamaIndex provides unique advantages when paired with Lemon Squeezy through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Lemon Squeezy tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Lemon Squeezy tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Lemon Squeezy, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Lemon Squeezy tools were called, what data was returned, and how it influenced the final answer
Lemon Squeezy + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Lemon Squeezy MCP Server delivers measurable value.
Hybrid search: combine Lemon Squeezy real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Lemon Squeezy 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 Lemon Squeezy for fresh data
Analytical workflows: chain Lemon Squeezy queries with LlamaIndex's data connectors to build multi-source analytical reports
Lemon Squeezy MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect Lemon Squeezy to LlamaIndex via MCP:
cancel_subscription
The customer will retain access until the end of the current billing cycle. Cancel an active subscription
get_customer_details
Get details for a specific customer
get_order_details
Get details for a specific order
get_product_details
Get details for a specific product
get_store_details
Get details for a specific store
get_subscription_details
Get details for a specific subscription
list_all_customers
List all customers
list_all_orders
List all orders
list_all_products
List all products available in your account
list_all_subscriptions
List all active and historical subscriptions
list_stores
List all stores in your Lemon Squeezy account
Example Prompts for Lemon Squeezy in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Lemon Squeezy immediately.
"List all products in my Lemon Squeezy account."
"Show my 5 most recent orders."
"Get details for subscription ID '98765'."
Troubleshooting Lemon Squeezy MCP Server with LlamaIndex
Common issues when connecting Lemon Squeezy to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLemon Squeezy + LlamaIndex FAQ
Common questions about integrating Lemon Squeezy 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 Lemon Squeezy 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 Lemon Squeezy to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.