How to Use the Goaffpro MCP in LlamaIndex

Q: How do I index Goaffpro partner data using LlamaIndex?

Install the required package with pip install llama-index-tools-mcp. Use the BasicMCPClient to connect to your Vinkius endpoint, then wrap it in McpToolSpec to register the tools. This MCP Server adapter exposes the tools to your indexer automatically.

Q: Can LlamaIndex query Goaffpro commission histories semantically?

Yes. Your agent uses listearnedcommissions to pull the raw data, which LlamaIndex then parses and indexes. You can then ask natural language questions about commission trends, and the agent will search the indexed data for the answer.

Q: Does LlamaIndex prevent hallucinations when checking Goaffpro payouts?

It does. By calling listaffiliatepayouts and indexing the exact transaction history, the agent grounds its answers in real API data. The agent will not make up payout dates or amounts because it is forced to cite the indexed records.

Q: How do I filter which tools the agent can access?

You can use the allowedtools filter when setting up your MCP tool specification. This lets you restrict your agent to read-only tools like getaffiliatedetails while blocking write tools like grantaffiliatereward.

Index your Goaffpro affiliate data into LlamaIndex to query real-time commission metrics and partner performance using semantic search.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Goaffpro MCP to LlamaIndex

Create your Vinkius account to connect Goaffpro 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.

GDPR Free for Subscribers

Setup Goaffpro with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Query live affiliate data with LlamaIndex

The `list_program_affiliates` tool fetches your entire partner directory and feeds it directly into your LlamaIndex vector store. This allows your agent to perform semantic searches over your partner list instead of relying on exact matches. You can ask your agent to find partners based on contextual descriptions rather than looking up IDs manually. This integration updates your index dynamically. When you run a query, LlamaIndex pulls fresh data from the Goaffpro MCP Server to ensure your agent's answers are grounded in current reality. You avoid stale data and get precise answers about your partner network.

Turn referral logs into searchable knowledge

The `list_referral_orders` tool retrieves recent sales data and indexes the transactions for retrieval-augmented generation. This MCP integration stops your agent from hallucinating figures because every answer is tied directly to a real transaction log. Your agent reads these indexed orders to answer complex questions about sales trends and customer behavior. You can combine these indexed logs with your internal documents. If you need to reconcile a dispute, the agent searches both your partner agreements and the actual referral history to find the discrepancy. This saves you from digging through multiple dashboards.

Analyze top performers contextually

The `list_top_performers` tool identifies your most successful partners and structures their performance metrics for your index. LlamaIndex uses this structured data to build a queryable profile of your top marketing channels. You can run comparative queries to see which strategies are driving the most high-value customers. This gives your agent the context it needs to make strategic recommendations. When you ask how to improve your program, the agent checks the performance data against your program details. The agent uses `get_program_details` to verify your current commission structures before proposing changes.

Setup guide

Set up Goaffpro MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 Goaffpro MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 Goaffpro tools.",
)
response = await agent.run("List recent Goaffpro data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Goaffpro. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Goaffpro now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Goaffpro MCP in LlamaIndex

Install the required package with `pip install llama-index-tools-mcp`. Use the `BasicMCPClient` to connect to your Vinkius endpoint, then wrap it in `McpToolSpec` to register the tools. This MCP Server adapter exposes the tools to your indexer automatically.

Yes. Your agent uses `list_earned_commissions` to pull the raw data, which LlamaIndex then parses and indexes. You can then ask natural language questions about commission trends, and the agent will search the indexed data for the answer.

It does. By calling `list_affiliate_payouts` and indexing the exact transaction history, the agent grounds its answers in real API data. The agent will not make up payout dates or amounts because it is forced to cite the indexed records.

You can use the `allowed_tools` filter when setting up your MCP tool specification. This lets you restrict your agent to read-only tools like `get_affiliate_details` while blocking write tools like `grant_affiliate_reward`.

Yes. Vinkius operates under a zero-trust model where all data processing occurs in ephemeral V8 isolates. Your commission records and partner profiles are never cached on our servers, and all API communication is strictly encrypted.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript