How to Use the Lemon Squeezy (Merchant of Record & Payments) MCP in LlamaIndex
Index your live Lemon Squeezy store data directly into LlamaIndex to query orders, licenses, and subscriptions with zero lag.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Lemon Squeezy (Merchant of Record & Payments) MCP to LlamaIndex
Create your Vinkius account to connect Lemon Squeezy (Merchant of Record & Payments) to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Semantic Search Across Store Orders
The `list_orders` and `get_order` tools feed raw transaction data directly into your local vector index. Your LlamaIndex agent can search past purchases semantically to answer natural language questions about who bought what and when. This turns flat order histories into an active knowledge base. Instead of querying databases with complex SQL, you can ask your agent which customers purchased specific variants and get immediate, grounded answers.
Grounded RAG for Customer Support
The `get_customer` and `list_subscriptions` tools provide live context for your customer service agents. When a customer asks about their billing status, LlamaIndex pulls their record and checks active subscriptions before formulating a response. This eliminates hallucinations during support chats. Your agent checks real-time data from `get_subscription_item` to ensure it only quotes accurate pricing and renewal dates.
LlamaIndex-Driven License Auditing
The `list_license_keys` and `get_license_key_instance` tools let you build automated auditing pipelines. Your agent indexes active license keys to detect anomalies, such as a single key being activated across too many unique instances. You can run scheduled index updates to keep your license data fresh. If a key looks suspicious, your LlamaIndex pipeline can trigger `deactivate_license` to revoke access instantly.
Set up Lemon Squeezy (Merchant of Record & Payments) MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Lemon Squeezy (Merchant of Record & Payments) MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Lemon Squeezy (Merchant of Record & Payments) tools.",
)
response = await agent.run("List recent Lemon Squeezy (Merchant of Record & Payments) data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lemon Squeezy. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Lemon Squeezy (Merchant of Record & Payments) MCP in LlamaIndex
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