Splitwise MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Create Expense, Delete Expense, Get Current User, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Splitwise through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Splitwise app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Splitwise, 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 Splitwise MCP Server
What you can do
- Track Expenses: Give your AI agent the ability to check who owes who across your distinct groups.
- Log Bills: Ask your AI to calculate receipts and accurately add the expense directly into Splitwise with automatic percentage or custom splits.
- Manage Friends & Groups: Easily pull details of group members.
The Vercel AI SDK gives every Splitwise tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
The Splitwise MCP Server exposes 10 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.
All 10 Splitwise tools available for Vercel AI SDK
When Vercel AI SDK connects to Splitwise through Vinkius, your AI agent gets direct access to every tool listed below — spanning expense-tracking, bill-splitting, debt-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Expects a stringified JSON object containing details like cost, description, format details (e.g. users__0__user_id=123, users__0__paid_share=5.00, etc. or JSON). Create an expense
Delete an expense
Get current user details
Get a specific expense
List expenses
Get friend details
List all friends
Get group details
List all groups
Get user details by ID
Connect Splitwise to Vercel AI SDK via MCP
Follow these steps to wire Splitwise into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Splitwise MCP Server
Vercel AI SDK provides unique advantages when paired with Splitwise 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 Splitwise integration everywhere
Built-in streaming UI primitives let you display Splitwise 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
Splitwise + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Splitwise MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Splitwise in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Splitwise tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Splitwise capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Splitwise through natural language queries
Example Prompts for Splitwise in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Splitwise immediately.
"Check how much I currently owe in the 'Paris Trip' group."
"Add a new $100 expense for Uber rides to Splitwise and split it equally with Jane."
"List all my friends connected on Splitwise."
Troubleshooting Splitwise MCP Server with Vercel AI SDK
Common issues when connecting Splitwise to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSplitwise + Vercel AI SDK FAQ
Common questions about integrating Splitwise 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.