How to Use the Payfunnels MCP in LlamaIndex

Q: How do I connect the Payfunnels MCP Server to my LlamaIndex pipeline?

Initialize the BasicMCPClient with your Vinkius URL, wrap it in McpToolSpec, and convert it using totoollistasync(). You can then pass these tools directly to your LlamaIndex FunctionAgent.

Q: Can LlamaIndex index Payfunnels subscription details to prevent LLM hallucinations?

Yes. By indexing the output of getsubscriptiondetails into your vector store, LlamaIndex ensures the agent answers questions about active plans using actual, real-time data.

Q: How do I restrict which Payfunnels tools LlamaIndex can access?

You use the allowedtools filter when setting up your tool specification. This lets you expose read-only tools like listpayments while keeping write tools like refundpayment locked down.

Q: Does LlamaIndex support real-time querying of Payfunnels setup fees?

Yes. The agent can call listsetupfees on demand to fetch the latest pricing structures, ensuring that any generated payment links reflect your current business settings.

Index your Payfunnels billing data into LlamaIndex vector stores to ground your financial agents in real payment histories.

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Connect Payfunnels MCP to LlamaIndex

Create your Vinkius account to connect Payfunnels 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.

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Setup Payfunnels with LlamaIndex

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Query Payfunnels payment records using LlamaIndex RAG

The `list_payments` tool lets LlamaIndex pull live transaction histories and index them directly into your vector store. Your agent can then perform semantic search over past charges to resolve customer billing disputes instantly. This MCP Server connection turns raw transaction logs into searchable knowledge. When a customer asks about a charge from last summer, the agent queries the vector index instead of making you manually search through your dashboard.

Index subscription statuses for grounded financial answers

The `list_subscriptions` tool supplies the raw active account data that LlamaIndex needs to build a grounded financial knowledge base. By importing these records into your vector index using this MCP Server, you prevent your agent from hallucinating subscription statuses. When you ask about monthly recurring revenue trends, the LlamaIndex agent answers using actual data from `get_subscription_details`. It grounds every response in real API outputs rather than making up numbers.

Generate contextual Payfunnels checkout links in LlamaIndex

The `create_one_time_payment_link` tool lets your LlamaIndex agent generate checkout links based on historical context stored in your vector database. The agent looks up what a customer previously bought and decides whether to trigger a one-time link or a `create_recurring_payment_link` flow. If the customer needs a specific setup fee applied, the agent retrieves the active rates using `list_setup_fees` and applies them using `create_setup_fee`. This makes your sales process contextual and automated.

Setup guide

Set up Payfunnels 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 Payfunnels 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 Payfunnels tools.",
)
response = await agent.run("List recent Payfunnels data")

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

Initialize the `BasicMCPClient` with your Vinkius URL, wrap it in `McpToolSpec`, and convert it using `to_tool_list_async()`. You can then pass these tools directly to your LlamaIndex `FunctionAgent`.

Yes. By indexing the output of `get_subscription_details` into your vector store, LlamaIndex ensures the agent answers questions about active plans using actual, real-time data.

You use the `allowed_tools` filter when setting up your tool specification. This lets you expose read-only tools like `list_payments` while keeping write tools like `refund_payment` locked down.

Yes. The agent can call `list_setup_fees` on demand to fetch the latest pricing structures, ensuring that any generated payment links reflect your current business settings.

Yes. Raw financial records, customer profiles, and fee structures retrieved via `get_payment_details` are processed within Vinkius's isolated MCP Server sandboxes. Your sensitive billing data is never stored on external LLM servers.

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