LendAPI MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect LendAPI through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using LendAPI, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Vercel AI SDK gives every LendAPI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the LendAPI MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from LendAPI and passes them to the LLM
Why Use Vercel AI SDK with the LendAPI MCP Server
Vercel AI SDK provides unique advantages when paired with LendAPI through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same LendAPI integration everywhere
Built-in streaming UI primitives let you display LendAPI tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
LendAPI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the LendAPI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query LendAPI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate LendAPI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed LendAPI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with LendAPI through natural language queries
LendAPI MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect LendAPI to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting LendAPI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLendAPI + Vercel AI SDK FAQ
Common questions about integrating LendAPI MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect LendAPI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect LendAPI to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.