How to Use the Corpay One MCP in LlamaIndex

Index your Corpay One financial data in LlamaIndex to turn raw invoices into a searchable knowledge base.

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Connect Corpay One MCP to LlamaIndex

Create your Vinkius account to connect Corpay One 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 Corpay One with LlamaIndex

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Index Corpay One data for LlamaIndex

Run `list_financial_documents` and point LlamaIndex at the results to build a searchable index. Now your agent can answer questions about invoice history based on actual records. Instead of just calling an API, the agent queries the vector store. It finds patterns in your spending that a standard search might miss.

Ground answers in live API data

Use `get_payment_details` as a tool to verify information found in your documents. LlamaIndex keeps the data fresh by pulling from the source when needed. This stops your agent from hallucinating details about past transactions. It reads the real state of your account every time you ask a question.

Filter Corpay One resources

Configure your client to only allow specific tools like `list_team_users`. This keeps your knowledge base clean and focused on what matters. You control the scope of the data the index can pull. It ignores noise and focuses on the financial records you need to query.

Setup guide

Set up Corpay One 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 Corpay One 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 Corpay One tools.",
)
response = await agent.run("List recent Corpay One 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 Corpay One. 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 Corpay One MCP in LlamaIndex

It uses an MCP tool spec to convert API responses into indexable data. You can then run natural language queries against your financial history.

Absolutely. By integrating these tools into your agent, your RAG pipeline gains direct access to your live AP processing data.

Your data is handled through a secure, ephemeral connection. Vinkius ensures that only authorized tokens can pull your payment information.

You control the indexing logic. You can refresh your vector store as often as needed to keep your Corpay One data current.

Only the specific invoice and payment records you fetch are processed. These records are indexed locally in your environment, not on our servers.

Use it with your favorite AI tools

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

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