# How to integrate Finmei MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Finmei MCP with Vercel AI SDK v6", "toolkit": "Finmei", "toolkit_slug": "finmei", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/finmei/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/finmei/framework/ai-sdk.md", "updated_at": "2026-05-06T08:11:44.704Z" } ``` ## Introduction This guide walks you through connecting Finmei to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Finmei agent that can create an invoice for new client acme corp, list all unpaid invoices from last month, delete obsolete product from catalog through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Finmei account through Composio's Finmei MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Finmei with - [OpenAI Agents SDK](https://composio.dev/toolkits/finmei/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/finmei/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/finmei/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/finmei/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/finmei/framework/codex) - [OpenClaw](https://composio.dev/toolkits/finmei/framework/openclaw) - [Hermes](https://composio.dev/toolkits/finmei/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/finmei/framework/cli) - [Google ADK](https://composio.dev/toolkits/finmei/framework/google-adk) - [LangChain](https://composio.dev/toolkits/finmei/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/finmei/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/finmei/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/finmei/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up and configure a Vercel AI SDK agent with Finmei integration - Using Composio's Tool Router to dynamically load and access Finmei tools - Creating an MCP client connection using HTTP transport - Building an interactive CLI chat interface with conversation history management - Handling tool calls and results within the Vercel AI SDK framework ## What is Vercel AI SDK? The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state. Key features include: - streamText: Core function for streaming responses with real-time tool support - MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp - Step Counting: Control multi-step tool execution with stopWhen: stepCountIs() - OpenAI Provider: Native integration with OpenAI models ## What is the Finmei MCP server, and what's possible with it? The Finmei MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Finmei account. It provides structured and secure access to your invoicing and expense data, so your agent can perform actions like creating invoices, managing customers, tracking payments, and handling products on your behalf. - Smart invoice creation and management: Ask your agent to generate new invoices, list all existing invoices, or delete outdated ones—helping you stay on top of billing effortlessly. - Customer record management: Let your agent list all your customers, search for specific records, or delete customers no longer in your system, streamlining client data administration. - Payment tracking and retrieval: Retrieve payment details, verify payment statuses, or remove obsolete payments to keep your financial records accurate and up to date. - Product catalog maintenance: Easily fetch detailed product information or remove products from your catalog as your offerings evolve, all via agent commands. - Multi-currency support: Ask your agent to list all available currencies before creating invoices, ensuring transactions are processed in the correct denomination for your business needs. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `FINMEI_CREATE_INVOICE` | Create Invoice | Tool to create a new invoice. Use when you have all invoice details ready and need to record it. Example: "Create an invoice for customer X with two items. | | `FINMEI_DELETE_CUSTOMER` | Delete Customer | Tool to delete a specific customer by their ID. Use after confirming the correct customer_id to remove the record. | | `FINMEI_DELETE_INVOICE` | Delete Invoice | Tool to delete an invoice. Use when you need to remove an existing invoice by its ID. | | `FINMEI_DELETE_PAYMENT` | Delete Payment | Tool to delete a payment. Use when you need to remove a payment by its ID after confirming it's obsolete. | | `FINMEI_DELETE_PRODUCT` | Delete Product | Tool to delete a product by its ID. Use when you need to permanently remove a product from the catalog. | | `FINMEI_GET_PAYMENT` | Get Payment | Tool to retrieve details of a specific payment by its ID. Use after creating a payment or when you need to confirm payment details. | | `FINMEI_GET_PRODUCT` | Get Product by ID | Tool to retrieve a product by its ID. Use when you need detailed information about a single product. | | `FINMEI_LIST_CURRENCIES` | List Currencies | Tool to list all currencies supported by Finmei. Use when you need to retrieve available currency codes before creating transactions. | | `FINMEI_LIST_CUSTOMERS` | List Customers | Tool to list all customers with optional filters and pagination. Use when needing to browse or search customer records. | | `FINMEI_LIST_INVOICES` | List Invoices | Tool to list invoices. Use when you need a paginated list of invoices with basic details. | | `FINMEI_LIST_PAYMENTS` | List Payments | Tool to retrieve a list of payments. Use when you need to view past payment records with optional filters and pagination. | | `FINMEI_LIST_PRODUCTS` | List Products | Tool to retrieve a list of products with optional filters and pagination. Use when you need to browse or filter the product catalog. | | `FINMEI_UPDATE_CUSTOMER` | Update Customer | Tool to update an existing customer's details. Use after confirming the customer ID to modify their information. | | `FINMEI_UPDATE_PRODUCT` | Update Product | Tool to update an existing product's details. Use when you need to modify product information after confirming the product ID. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Finmei MCP server is an implementation of the Model Context Protocol that connects your AI agent to Finmei. It provides structured and secure access so your agent can perform Finmei operations on your behalf through a secure, permission-based interface. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites Before you begin, make sure you have: - Node.js and npm installed - A Composio account with API key - An OpenAI API key ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider. - Keep the API key safe. Composio API Key - Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install required dependencies First, install the necessary packages for your project. What you're installing: - @ai-sdk/openai: Vercel AI SDK's OpenAI provider - @ai-sdk/mcp: MCP client for Vercel AI SDK - @composio/core: Composio SDK for tool integration - ai: Core Vercel AI SDK - dotenv: Environment variable management ```bash npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's needed: - OPENAI_API_KEY: Your OpenAI API key for GPT model access - COMPOSIO_API_KEY: Your Composio API key for tool access - COMPOSIO_USER_ID: A unique identifier for the user session ```bash OPENAI_API_KEY=your_openai_api_key_here COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_user_id_here ``` ### 4. Import required modules and validate environment What's happening: - We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio - The dotenv/config import automatically loads environment variables - The MCP client import enables connection to Composio's tool server ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey, }); ``` ### 5. Create Tool Router session and initialize MCP client What's happening: - We're creating a Tool Router session that gives your agent access to Finmei tools - The create method takes the user ID and specifies which toolkits should be available - The returned mcp object contains the URL and authentication headers needed to connect to the MCP server - This session provides access to all Finmei-related tools through the MCP protocol ```typescript async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["finmei"], }); const mcpUrl = session.mcp.url; ``` ### 6. Connect to MCP server and retrieve tools What's happening: - We're creating an MCP client that connects to our Composio Tool Router session via HTTP - The mcp.url provides the endpoint, and mcp.headers contains authentication credentials - The type: "http" is important - Composio requires HTTP transport - tools() retrieves all available Finmei tools that the agent can use ```typescript const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); ``` ### 7. Initialize conversation and CLI interface What's happening: - We initialize an empty messages array to maintain conversation history - A readline interface is created to accept user input from the command line - Instructions are displayed to guide the user on how to interact with the agent ```typescript let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to finmei, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); ``` ### 8. Handle user input and stream responses with real-time tool feedback What's happening: - We use streamText instead of generateText to stream responses in real-time - toolChoice: "auto" allows the model to decide when to use Finmei tools - stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations - onStepFinish callback displays which tools are being used in real-time - We iterate through the text stream to create a typewriter effect as the agent responds - The complete response is added to conversation history to maintain context - Errors are caught and displayed with helpful retry suggestions ```typescript rl.on("line", async (userInput: string) => { const trimmedInput = userInput.trim(); if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } messages.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Complete Code ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey, }); async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["finmei"], }); const mcpUrl = session.mcp.url; const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to finmei, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); rl.on("line", async (userInput: string) => { const trimmedInput = userInput.trim(); if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } messages.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Conclusion You've successfully built a Finmei agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback. Key features of this implementation: - Real-time streaming responses for a better user experience with typewriter effect - Live tool execution feedback showing which tools are being used as the agent works - Dynamic tool loading through Composio's Tool Router with secure authentication - Multi-step tool execution with configurable step limits (up to 10 steps) - Comprehensive error handling for robust agent execution - Conversation history maintenance for context-aware responses You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows. ## How to build Finmei MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/finmei/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/finmei/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/finmei/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/finmei/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/finmei/framework/codex) - [OpenClaw](https://composio.dev/toolkits/finmei/framework/openclaw) - [Hermes](https://composio.dev/toolkits/finmei/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/finmei/framework/cli) - [Google ADK](https://composio.dev/toolkits/finmei/framework/google-adk) - [LangChain](https://composio.dev/toolkits/finmei/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/finmei/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/finmei/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/finmei/framework/crew-ai) ## Related Toolkits - [Stripe](https://composio.dev/toolkits/stripe) - Stripe is a global online payments platform offering APIs for managing payments, customers, and subscriptions. Trusted by businesses for secure, efficient, and scalable payment processing worldwide. - [Alpha vantage](https://composio.dev/toolkits/alpha_vantage) - Alpha Vantage is a financial data platform offering real-time and historical stock market APIs. Get instant, reliable access to equities, forex, and technical analysis data for smarter trading decisions. - [Altoviz](https://composio.dev/toolkits/altoviz) - Altoviz is a cloud-based billing and invoicing platform for businesses. It streamlines online payments, expense tracking, and customizable invoice management. - [Benzinga](https://composio.dev/toolkits/benzinga) - Benzinga provides real-time financial news and data APIs for market coverage. It helps you track breaking news and actionable market insights instantly. - [Brex](https://composio.dev/toolkits/brex) - Brex provides corporate credit cards and spend management tailored for startups and tech businesses. It helps optimize company cash flow, streamline accounting, and accelerate business growth. - [Chaser](https://composio.dev/toolkits/chaser) - Chaser is accounts receivable automation software that sends invoice reminders and helps businesses get paid faster. It streamlines the collections process to save time and improve cash flow. - [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time. - [Coinbase](https://composio.dev/toolkits/coinbase) - Coinbase is a platform for buying, selling, and storing cryptocurrency. It makes exchanging and managing crypto simple and secure for everyone. - [Coinranking](https://composio.dev/toolkits/coinranking) - Coinranking is a comprehensive cryptocurrency market data platform offering access to real-time coin prices, market caps, and historical data. Get accurate, up-to-date stats for thousands of digital assets in one place. - [Coupa](https://composio.dev/toolkits/coupa) - Coupa is a business spend management platform for procurement, invoicing, and expenses. It helps organizations streamline purchasing, control costs, and gain complete visibility over financial operations. - [CurrencyScoop](https://composio.dev/toolkits/currencyscoop) - CurrencyScoop is a developer-friendly API for real-time and historical currency exchange rates. Easily access fiat and crypto data for smart, up-to-date financial applications. - [Daffy](https://composio.dev/toolkits/daffy) - Daffy is a modern charitable giving platform with a donor-advised fund. Easily set aside funds, grow them tax-free, and donate to over 1.7 million U.S. charities. - [Eagle doc](https://composio.dev/toolkits/eagle_doc) - Eagle doc is an AI-powered OCR API for invoices and receipts. It delivers fast, reliable, and accurate document data extraction for seamless automation. - [Elorus](https://composio.dev/toolkits/elorus) - Elorus is an online invoicing and time-tracking software for freelancers and small businesses. Easily manage finances, bill clients, and track work in one place. - [Eodhd apis](https://composio.dev/toolkits/eodhd_apis) - Eodhd apis delivers comprehensive financial data, including live and historical stock prices, via robust APIs. Easily access reliable, up-to-date market insights to power your apps, dashboards, and analytics. - [Fidel api](https://composio.dev/toolkits/fidel_api) - Fidel api is a secure platform for linking payment cards to web and mobile apps. It enables real-time card transaction monitoring and event-based automation for businesses. - [Finage](https://composio.dev/toolkits/finage) - Finage is a secure API platform delivering real-time and historical financial data for stocks, forex, crypto, indices, and commodities. It empowers developers and businesses to access, analyze, and act on market data instantly. - [Fixer](https://composio.dev/toolkits/fixer) - Fixer is a currency data API offering real-time and historical exchange rates for 170 currencies. Instantly access accurate, up-to-date forex data for your applications and workflows. - [Fixer io](https://composio.dev/toolkits/fixer_io) - Fixer.io is a lightweight API for real-time and historical foreign exchange rates. It makes global currency conversion fast, accurate, and hassle-free. - [Flutterwave](https://composio.dev/toolkits/flutterwave) - Flutterwave is a global payments platform enabling businesses to accept and send payments across Africa and beyond. Its robust APIs simplify cross-border transactions and financial operations. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Finmei MCP? With a standalone Finmei MCP server, the agents and LLMs can only access a fixed set of Finmei tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Finmei and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Vercel AI SDK v6? Yes, you can. Vercel AI SDK v6 fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Finmei tools. ### Can I manage the permissions and scopes for Finmei while using Tool Router? Yes, absolutely. You can configure which Finmei scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do. ### How safe is my data with Composio Tool Router? All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Finmei data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)