3,400+ MCP servers ready to use
Vinkius
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Bring Digital Products
to LlamaIndex

Learn how to connect Kiwify to LlamaIndex and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create Notification WebhookDelete Notification WebhookGet Account SummaryGet Product DetailsGet Sale DetailsList Active SubscriptionsList Configured WebhooksList ProductsList Sales History

What is the Kiwify MCP Server?

Connect your Kiwify account to any AI agent and manage digital product sales through natural conversation.

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

How it works

1. Subscribe to this server
2. Enter your Kiwify Access Token and Account ID
3. Start managing sales from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Digital Creators — track product sales and customer data
  • Info-product Entrepreneurs — monitor subscriptions and revenue
  • Marketing Teams — analyze sales performance and conversion metrics

Built-in capabilities (9)

create_notification_webhook

Create a new webhook

delete_notification_webhook

Remove an existing webhook

get_account_summary

Get account information

get_product_details

Get details for a specific product

get_sale_details

Get details for a specific sale

list_active_subscriptions

List recurring subscriptions

list_configured_webhooks

List your webhooks

list_products

List your Kiwify products

list_sales_history

Supports filtering. List recent sales and transactions

Why LlamaIndex?

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.

  • 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

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See it in action

Kiwify in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Kiwify and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Kiwify to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Kiwify in LlamaIndex

The Kiwify 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. All 9 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Kiwify
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Kiwify for LlamaIndex

Every tool call from LlamaIndex to the Kiwify MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I track orders and revenue performance?

Yes. Browse all orders with status (approved, refunded, pending), amounts, and customer data. Track revenue metrics and trends.

02

Can I monitor subscriptions and churn?

Yes. Track active subscriptions, upcoming renewals, cancellations, and churn rates across all products.

03

Does Kiwify require two credentials?

Yes. Kiwify requires an Access Token and Account ID. Bearer authentication against public-api.kiwify.com/v1.

04

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

05

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Kiwify tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

07

BasicMCPClient not found

Install: pip install llama-index-tools-mcp