# How to integrate Fidel api MCP with Vercel AI SDK v6

```json
{
  "title": "How to integrate Fidel api MCP with Vercel AI SDK v6",
  "toolkit": "Fidel api",
  "toolkit_slug": "fidel_api",
  "framework": "Vercel AI SDK",
  "framework_slug": "ai-sdk",
  "url": "https://composio.dev/toolkits/fidel_api/framework/ai-sdk",
  "markdown_url": "https://composio.dev/toolkits/fidel_api/framework/ai-sdk.md",
  "updated_at": "2026-05-06T08:11:25.764Z"
}
```

## Introduction

This guide walks you through connecting Fidel api to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Fidel api agent that can register a new loyalty program for our stores, create a webhook for real-time offer updates, fetch details of a specific payment brand through natural language commands.
This guide will help you understand how to give your Vercel AI SDK agent real control over a Fidel api account through Composio's Fidel api MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Fidel api with

- [OpenAI Agents SDK](https://composio.dev/toolkits/fidel_api/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/fidel_api/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/fidel_api/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/fidel_api/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/fidel_api/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/fidel_api/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/fidel_api/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/fidel_api/framework/cli)
- [Google ADK](https://composio.dev/toolkits/fidel_api/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/fidel_api/framework/langchain)
- [Mastra AI](https://composio.dev/toolkits/fidel_api/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/fidel_api/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/fidel_api/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- How to set up and configure a Vercel AI SDK agent with Fidel api integration
- Using Composio's Tool Router to dynamically load and access Fidel api 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 Fidel api MCP server, and what's possible with it?

The Fidel api MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Fidel api account. It provides structured and secure access to your Fidel API tools, so your agent can perform actions like creating brands, managing programs, retrieving offers, handling webhooks, and more on your behalf.
- Brand and program creation: Easily instruct your agent to register new brands or set up loyalty programs for your business, streamlining onboarding and expansion.
- Real-time webhook management: Let your agent create or delete webhooks so you can receive instant notifications for important program events without manual setup.
- Detailed entity retrieval: Have your agent fetch comprehensive details about brands, programs, offers, or webhooks whenever you need insights or verification.
- Offer and webhook deletion: Direct your agent to remove outdated offers or webhooks, keeping your Fidel API environment clean and up-to-date.
- End-to-end automation for payment integrations: Allow your agent to manage the full lifecycle of brands, programs, and event hooks, helping you build seamless payment-linked experiences with minimal effort.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `FIDEL_API_CREATE_BRAND` | Create Brand | Tool to create a new brand on fidel. use when you have brand details and need to register it. this tool sends a post request to /v1/brands with the provided brand data. |
| `FIDEL_API_CREATE_PROGRAM` | Create Program | Tool to create a new program. use when registering an offline or online store. use after confirming program name and any optional metadata. |
| `FIDEL_API_CREATE_PROGRAM_WEBHOOK` | Create Program Webhook | Tool to register a new webhook for program-related events. use when you need to receive real-time notifications for specific program events in your application. |
| `FIDEL_API_DELETE_OFFER` | Delete Offer | Tool to delete a specified offer by its id. use after confirming the correct offer id. |
| `FIDEL_API_DELETE_PROGRAM_WEBHOOK` | Delete Program Webhook | Tool to delete a specified webhook for a program. use when you need to remove a program webhook after confirming programid and hookid. |
| `FIDEL_API_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a specified webhook. use when you need to remove a webhook by its id. |
| `FIDEL_API_GET_BRAND` | Get Brand | Tool to retrieve information about a specific brand. use when you have a brand id and need its details. |
| `FIDEL_API_GET_OFFER` | Get Offer | Tool to fetch details of a specific offer. use when you have an offer id and need its full details. |
| `FIDEL_API_GET_PROGRAM` | Get Program | Tool to retrieve details of a specific program. use when you have a program id and need its full details. |
| `FIDEL_API_GET_WEBHOOK` | Get Webhook | Tool to retrieve details of a specific webhook. use when you have a webhook id and need its full details. |
| `FIDEL_API_LIST_BRANDS` | List Brands | Tool to list all brands. use when you need to retrieve a paginated list of all available brands. |
| `FIDEL_API_LIST_CARDS` | List Cards | Tool to list all cards for a specific program. use when you have a programid and need to retrieve associated card records. |
| `FIDEL_API_LIST_LOCATIONS` | List Locations | Tool to list all locations for a program. use when you need to retrieve paginated store locations within a specific program. |
| `FIDEL_API_LIST_OFFERS` | List Offers | Tool to list all offers. use when you need to retrieve offers after applying optional filters. |
| `FIDEL_API_LIST_PROGRAMS` | List Programs | Tool to list fidel programs. use when you need to retrieve available programs with optional pagination. |
| `FIDEL_API_LIST_PROGRAM_WEBHOOKS` | List Program Webhooks | Tool to list all registered webhooks for a specific program. use when you need to retrieve existing webhooks after confirming the programid. |
| `FIDEL_API_LIST_TRANSACTIONS` | List Transactions | Tool to list transactions. use when you need to page through and/or filter transactions. |
| `FIDEL_API_UPDATE_PROGRAM` | Update Program | Tool to update a program's name, icon, metadata, or status. use after confirming the program id and desired updates. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Fidel api MCP server is an implementation of the Model Context Protocol that connects your AI agent to Fidel api. It provides structured and secure access so your agent can perform Fidel api 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 Fidel api 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 Fidel api-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: ["fidel_api"],
  });

  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 Fidel api 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 fidel_api, 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 Fidel api 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: ["fidel_api"],
  });

  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 fidel_api, 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 Fidel api 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 Fidel api MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/fidel_api/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/fidel_api/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/fidel_api/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/fidel_api/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/fidel_api/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/fidel_api/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/fidel_api/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/fidel_api/framework/cli)
- [Google ADK](https://composio.dev/toolkits/fidel_api/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/fidel_api/framework/langchain)
- [Mastra AI](https://composio.dev/toolkits/fidel_api/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/fidel_api/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/fidel_api/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.
- [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.
- [Finmei](https://composio.dev/toolkits/finmei) - Finmei is an invoicing tool that simplifies billing, invoice management, and expense tracking. Ideal for automating and organizing your business finances in one place.
- [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 Fidel api MCP?

With a standalone Fidel api MCP server, the agents and LLMs can only access a fixed set of Fidel api tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Fidel api 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 Fidel api tools.

### Can I manage the permissions and scopes for Fidel api while using Tool Router?

Yes, absolutely. You can configure which Fidel api 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 Fidel api data and credentials are handled as safely as possible.

---
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