Lemon Squeezy MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Get Account Info, Get Order, Get Product, and more
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Lemon Squeezy 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 Lemon Squeezy MCP Server for LlamaIndex is a standout in the Money Moves category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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 12 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 store to any AI agent and manage digital sales through natural conversation.
LlamaIndex agents combine Lemon Squeezy 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
- Product Management — List products with variants, pricing, and sales data
- Order Tracking — Browse orders with status, amounts, and customer data
- Subscription Monitoring — Track active subscriptions, renewals, and churn
- Customer Database — List customers with purchase history and LTV
- Revenue Analytics — Monitor MRR, refund rates, and growth trends
- Store Management — Access store settings, checkout links, and discount codes
The Lemon Squeezy 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 Lemon Squeezy tools available for LlamaIndex
When LlamaIndex connects to Lemon Squeezy through Vinkius, your AI agent gets direct access to every tool listed below — spanning saas-billing, merchant-of-record, tax-compliance, 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.
Get account info on Lemon Squeezy
Get account profile
Get order on Lemon Squeezy
Get order details
Get product on Lemon Squeezy
Get product details
Get subscription on Lemon Squeezy
Get subscription details
List customers on Lemon Squeezy
List all customers
List discounts on Lemon Squeezy
List promo codes
List orders on Lemon Squeezy
List all orders
List products on Lemon Squeezy
List all products
List stores on Lemon Squeezy
List all stores
List subscriptions on Lemon Squeezy
List all subscriptions
List variants on Lemon Squeezy
List all product variants
List webhooks on Lemon Squeezy
List configured webhooks
Connect Lemon Squeezy to LlamaIndex via MCP
Follow these steps to wire Lemon Squeezy into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
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
Example Prompts for Lemon Squeezy in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Lemon Squeezy immediately.
"Show all products with sales data and this month's revenue."
"Show active subscriptions and churn analysis."
"List customers sorted by LTV and show discount codes."
Troubleshooting Lemon Squeezy MCP Server with LlamaIndex
Common issues when connecting Lemon Squeezy to LlamaIndex through 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?
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