Kiwify MCP Server for LlamaIndexGive LlamaIndex instant access to 9 tools to Create Notification Webhook, Delete Notification Webhook, Get Account Summary, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Kiwify 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 App Connector for LlamaIndex
The Kiwify app connector for LlamaIndex is a standout in the Ecommerce category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Kiwify. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Kiwify?"
)
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 Kiwify MCP Server
Connect your Kiwify account to any AI agent and manage digital product sales through natural conversation.
LlamaIndex agents combine Kiwify tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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, inspect details, and track sales performance
- 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 engagement
- Revenue Analytics — Monitor sales metrics, refund rates, and trends
The Kiwify MCP Server exposes 9 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.
All 9 Kiwify tools available for LlamaIndex
When LlamaIndex connects to Kiwify through Vinkius, your AI agent gets direct access to every tool listed below — spanning digital-products, online-courses, order-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new webhook
Remove an existing webhook
Get account information
Get details for a specific product
Get details for a specific sale
List recurring subscriptions
List your webhooks
List your Kiwify products
Supports filtering. List recent sales and transactions
Connect Kiwify to LlamaIndex via MCP
Follow these steps to wire Kiwify into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the 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 Kiwify MCP Server
LlamaIndex provides unique advantages when paired with Kiwify through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Kiwify tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Kiwify tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Kiwify, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Kiwify tools were called, what data was returned, and how it influenced the final answer
Kiwify + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Kiwify MCP Server delivers measurable value.
Hybrid search: combine Kiwify real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Kiwify 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 Kiwify for fresh data
Analytical workflows: chain Kiwify queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Kiwify in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Kiwify immediately.
"Show all products with sales performance and today's orders."
"Show active subscriptions and churn rate for this month."
"Show the customer database and top buyers."
Troubleshooting Kiwify MCP Server with LlamaIndex
Common issues when connecting Kiwify to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKiwify + LlamaIndex FAQ
Common questions about integrating Kiwify MCP Server with LlamaIndex.