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 Google ADK 8 tools — connect in under 2 minutes

Name: LendAPI
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add LendAPI as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="lendapi_agent",
    instruction=(
        "You help users interact with LendAPI "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)

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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.

Google ADK natively supports LendAPI as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the LendAPI MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 8 tools from LendAPI via MCP

Why Use Google ADK with the LendAPI MCP Server

Google ADK provides unique advantages when paired with LendAPI through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with LendAPI

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine LendAPI tools with BigQuery, Vertex AI, and Cloud Functions

LendAPI + Google ADK Use Cases

Practical scenarios where Google ADK combined with the LendAPI MCP Server delivers measurable value.

Enterprise data agents: ADK agents query LendAPI and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine LendAPI tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query LendAPI regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including LendAPI

LendAPI MCP Tools for Google ADK (8)

These 8 tools become available when you connect LendAPI to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting LendAPI to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

LendAPI + Google ADK FAQ

Common questions about integrating LendAPI MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.