How do I trigger an automated credit decision?

Use the `submit_loan_application` tool with the unique application ID. This will trigger the rules-based or AI-driven decision engine configured in your LendAPI account.

Can I search for valid values for specific fields like 'purpose'?

Yes, the `get_lendapi_picklists` tool allows you to retrieve the full list of allowed values for various metadata fields, ensuring your application data is compliant.

Is it possible to manage borrower profiles via the agent?

Absolutely. You can list all borrowers, retrieve detailed profile information, and create new borrower records using the specific borrower tools provided.

LendAPI MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: LendAPI
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect LendAPI through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="LendAPI Assistant",
            instructions=(
                "You help users interact with LendAPI. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from LendAPI"
        )
        print(result.final_output)

asyncio.run(main())

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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

About LendAPI MCP Server

Connect your LendAPI account to any AI agent to automate your loan origination and management workflows. This MCP server enables your agent to interact with borrower profiles, manage loan applications, and trigger automated credit decisioning directly from natural language interfaces.

The OpenAI Agents SDK auto-discovers all 8 tools from LendAPI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries LendAPI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Borrower Oversight — List and retrieve detailed profiles for all registered borrowers in your system
Application Lifecycle — List, retrieve, and create loan application drafts while monitoring their current status
Credit Decisioning — Submit applications for automated credit review and trigger AI/ML risk assessments
Data Standardization — Retrieve valid picklist values for purposes, industries, and asset types to ensure data quality
Onboarding Automation — Create new borrower records and manage their associated loan requests seamlessly

The LendAPI MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect LendAPI to OpenAI Agents SDK via MCP

Follow these steps to integrate the LendAPI MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from LendAPI

Why Use OpenAI Agents SDK with the LendAPI MCP Server

OpenAI Agents SDK provides unique advantages when paired with LendAPI through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

LendAPI + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the LendAPI MCP Server delivers measurable value.

Automated workflows: build agents that query LendAPI, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries LendAPI, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through LendAPI tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query LendAPI to resolve tickets, look up records, and update statuses without human intervention

LendAPI MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect LendAPI to OpenAI Agents SDK via MCP:

create_loan_application

Requires a JSON body with application details. Create a new loan application

create_new_borrower

Requires a JSON body with profile details. Create a new borrower profile

get_application_details

Get details for a specific loan application

get_borrower_details

Get details for a specific borrower

get_lendapi_picklists

Retrieve valid picklist values for metadata fields

list_borrowers

List all borrower profiles

list_loan_applications

List all loan applications

submit_loan_application

Submit a loan application for decisioning

Example Prompts for LendAPI in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with LendAPI immediately.

"List all borrowers in my LendAPI account."

"Show details for loan application ID 'APP-12345'."

"Submit application 'APP-12345' for a final credit decision."

Troubleshooting LendAPI MCP Server with OpenAI Agents SDK

Common issues when connecting LendAPI to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

LendAPI + OpenAI Agents SDK FAQ

Common questions about integrating LendAPI MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.