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How to integrate Zoho MCP with Vercel AI SDK v6

Connect Vercel AI SDK v6 to Zoho MCP. Convert new leads to contacts in crm, add a note to an existing zoho deal, and more using natural language, with authentication handled for you.

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Zoho is a suite of cloud business apps for CRM, email marketing, and collaboration. It helps teams automate workflows and scale operations effortlessly.

102 Tools

Introduction

This guide walks you through connecting Zoho to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Zoho agent that can create and convert leads, track deals, manage contacts and accounts, add notes and events, and search your CRM records through natural language commands.

This guide will help you understand how to give your Vercel AI SDK agent real control over a Zoho account through Composio's Zoho MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Zoho with

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKMuseCodexKimi CodeOpenClawHermesAtomic AgentCLIGoogle ADKLangChainMastra AILlamaIndexCrewAIPydantic AIAutoGen

TL;DR

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

The Zoho MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Zoho account. It provides structured and secure access to your Zoho CRM data, so your agent can create contacts and leads, manage deals, search records, track activities, and draft emails on your behalf.

  • Contact and lead management: Have your agent create contacts and leads, find existing records, and review prospect details in Zoho CRM.
  • Deal and account tracking: Let the agent create and update deals, review sales opportunities, search accounts, and update account details.
  • Tasks, calls, and event coordination: Direct your agent to find tasks, review logged calls, create events, and check upcoming meetings.
  • Notes, emails, and attachments: Instruct your agent to add notes to CRM records, review related emails and attachments, and prepare email drafts.
  • CRM record discovery: Have your agent search across Zoho CRM modules, list available modules, and retrieve related records for added context.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before you begin, make sure you have:
  • Node.js and npm installed
  • A Composio account with API key
  • An OpenAI API key
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install required dependencies

bash
npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv

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
4

Set up environment variables

bash
OPENAI_API_KEY=your_openai_api_key_here
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here

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
5

Import required modules and validate environment

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,
});
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
6

Create Tool Router session and initialize MCP client

typescript
async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["zoho"],
  });

  const mcpUrl = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Zoho 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 Zoho-related tools through the MCP protocol
7

Connect to MCP server and retrieve tools

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();
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 Zoho tools that the agent can use
8

Initialize conversation and CLI interface

typescript
let messages: ModelMessage[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log(
  "Ask any questions related to zoho, like summarize my last 5 emails, send an email, etc... :)))\n",
);

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();
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
9

Handle user input and stream responses with real-time tool feedback

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);
});
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 Zoho 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

Complete Code

Here's the complete code to get you started with Zoho and Vercel AI SDK:

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: ["zoho"],
  });

  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 zoho, 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 Zoho 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.
TOOLS

Supported Tools

Every Zoho action and event your agent gets out of the box.

Add Tags to Zoho CRM Records

Apply one or more existing tags to up to 500 records in a Zoho CRM module.

Associate Email with Zoho CRM Record

Add an existing sent or received email to a Zoho CRM record's history.

Convert Zoho CRM Lead

Converts a lead into a contact, account, and optionally a deal in Zoho CRM.

Count Zoho CRM Records

Count all records or records matching one filter in a Zoho CRM module.

Create Zoho CRM Automation Task

Create an automation task with typed static, merge, date, or datetime mappings.

Create Contact in Zoho CRM

Creates a new contact record in Zoho CRM.

Create Zoho CRM Custom Fields

Create one to five custom fields in a Zoho CRM module.

Create Zoho CRM Custom View

Create one custom view for a Zoho CRM module.

Create Deal in Zoho CRM

Creates a new deal in Zoho CRM representing a sales opportunity with deal name, stage, amount, and closing date.

Create Email Draft in Zoho CRM

Creates email drafts for a specific record in Zoho CRM.

Create Zoho Event

Creates a new Event record in Zoho CRM.

Create Lead in Zoho CRM

Creates a new lead record in Zoho CRM with the specified details.

Create Note in Zoho CRM

Creates a new note attached to a specific record in Zoho CRM.

Create Zoho CRM Record

Creates new records in a specified module in Zoho CRM.

Create Zoho CRM Tag

Creates a new tag in Zoho CRM for a specific module.

Delete Zoho Account

Deletes an existing account record from Zoho CRM.

Delete Zoho CRM Contact

Deletes a contact from Zoho CRM.

Delete Zoho CRM Deal

Deletes a deal record from Zoho CRM.

Delete Zoho CRM Email Draft

Delete one unsent email draft associated with a Zoho CRM record.

Delete Zoho CRM Event

Move one Zoho CRM Event record to the recycle bin.

Delete Zoho CRM Lead

Move one Zoho CRM Lead record to the recycle bin.

Delete Zoho CRM Note

Move one Zoho CRM note to the recycle bin.

Delete Zoho CRM Records

Move up to 100 records from a Zoho CRM module to the recycle bin.

Delete Zoho CRM Tag

Delete one Zoho CRM tag definition by its tag ID.

Download Zoho CRM Record Attachment

Download one attachment from a Zoho CRM record as a file.

Download Zoho CRM Record Photo

Download the binary profile photo attached to a supported CRM record.

Get Zoho CRM Account

Retrieves a specific Account record from Zoho CRM by its unique identifier.

Get Zoho CRM Assignment Rule

Retrieve one assignment rule and its module-specific configuration.

Get Zoho CRM Automation Task

Retrieve one configured Zoho CRM automation task and its field mappings.

Get Zoho CRM Blueprint

Retrieve one Zoho CRM blueprint and optional configuration details.

Get Call

Retrieves a specific Call record by its unique identifier from Zoho CRM.

Get Zoho CRM Contact

Retrieves a single contact record by ID from Zoho CRM.

Get Zoho CRM Custom Views

List custom views for a Zoho CRM module or inspect one view by ID.

Get Zoho CRM Deal

Retrieve one Zoho CRM Deal by record ID without a field projection.

Get Email Drafts for Zoho CRM Record

Retrieves email drafts associated with a specific record in Zoho CRM.

Get Zoho Event

Retrieves a specific event record from Zoho CRM by its unique identifier.

Get From Addresses

Retrieves the list of from addresses configured for email operations in Zoho CRM.

Get Zoho CRM Kiosk States

List a kiosk's states or retrieve one state and its associated elements.

Get Zoho CRM Layouts

List layouts for a CRM module or retrieve one complete layout definition.

Get Zoho CRM Module Fields Metadata

Retrieves field metadata for a Zoho CRM module including API names, data types, permissions, and configuration details.

Get Zoho CRM Note

Retrieves a single note by its unique identifier from Zoho CRM.

Get Zoho CRM Pipelines

Retrieve pipeline and stage configuration for a Zoho CRM Deals layout.

Get Zoho CRM Product

Retrieve one Zoho CRM Product by record ID.

Get Zoho CRM Profile

Retrieve one Zoho CRM permission profile and its expanded permissions.

Get Zoho CRM Record

Retrieve one record from a standard or custom Zoho CRM module by ID.

Get Zoho CRM Record Email

Retrieve one email associated with a Zoho CRM record, including its body.

Get Zoho CRM Record Emails

Retrieves a page of emails associated with a specific record in Zoho CRM.

Get Zoho CRM Record Timeline

Retrieve chronological field and related-record history for a Zoho CRM record.

Get Zoho CRM Related Lists Metadata

Retrieves related list metadata for a Zoho CRM module to discover correct api_name values.

Get Zoho CRM Related Records

Fetch related-list records (e.

Get Zoho CRM Task

Retrieves a specific task record by its ID from Zoho CRM.

Get Zoho CRM User

Retrieves a Zoho CRM user by ID, including name, email, role, profile, status, and preferences.

Get Zoho CRM Webform

Retrieve one configured Zoho CRM webform by ID.

Get Zoho CRM Workflow Rule

Retrieve one Zoho CRM workflow rule and its complete configuration.

Get Zoho CRM Records

Retrieves records from a specified module in Zoho CRM.

Get Zoho CRM Users

Tool to retrieve users from Zoho CRM.

List Zoho CRM Access Settings

List roles or permission profiles configured in Zoho CRM.

List Zoho CRM Accounts

Retrieves a list of account records from Zoho CRM with pagination and filtering support.

List Zoho CRM Cadences

List Zoho CRM cadence definitions using optional filters.

List Zoho CRM Calls

Retrieves Call activity records from Zoho CRM with pagination support.

List Zoho CRM Connected Workflow Rules

List trigger conditions for a module's rules in a connected workflow.

List Contacts

Retrieves contact records from Zoho CRM with support for pagination, filtering, and sorting.

List Deals

Retrieves a list of deals from Zoho CRM with support for filtering, sorting, and pagination.

List Zoho CRM Events

Lists events (meetings) from Zoho CRM with pagination and filtering support.

List Zoho CRM Functions

List configured Zoho CRM functions and their metadata.

List Zoho CRM Leads

Retrieves lead records from Zoho CRM's Leads module with pagination support.

List Zoho CRM Modules

Lists all available Zoho CRM modules (standard + custom) to reliably select module API names/IDs for operations.

List Zoho CRM Notes

Retrieves one paginated list of notes from Zoho CRM across all modules.

List Attachments for Zoho CRM Record

Tool to list attachment metadata (id, File_Name, Size, Created_Time, etc.

List Zoho CRM Tags

List the tags available for a Zoho CRM module.

List Zoho CRM Tasks

Retrieves tasks from the Tasks module in Zoho CRM with support for filtering, pagination, and sorting.

List Zoho CRM Variables

List Zoho CRM configuration variables and their current values.

List Zoho CRM Workflow Rules

List and filter workflow rules configured in Zoho CRM.

Merge Zoho CRM Leads

Merge duplicate leads into a retained master lead and delete the child leads.

Search Zoho CRM Accounts

Search for Account records within Zoho CRM using server-side queries.

Search Zoho CRM Calls

Search for Call records in Zoho CRM using server-side queries.

Search Zoho CRM Contacts

Search for contacts in Zoho CRM using server-side queries by criteria, email, phone, or keyword.

Search Deals in Zoho CRM

Search for Deal records in Zoho CRM using server-side queries.

Search Events

Search for Events in Zoho CRM using server-side queries.

Search Leads

Search for lead records in Zoho CRM using server-side queries.

Search Notes

Search for notes in Zoho CRM using server-side queries.

Search Zoho CRM Tasks

Search for tasks in Zoho CRM using flexible criteria.

Search Zoho CRM Records

Search for records within a Zoho CRM module using server-side queries.

Update Zoho CRM Account

Updates an existing Account record in Zoho CRM with the specified field values.

Update Zoho CRM Call

Updates existing call records in the Calls module in Zoho CRM.

Update Zoho CRM Custom Fields

Update custom-field definitions; some changes can alter existing record values.

Update Zoho CRM Custom View

Update the configuration of one Zoho CRM custom view.

Update Zoho CRM Deal

Updates an existing deal in Zoho CRM.

Update Zoho CRM Email Draft

Updates an existing email draft associated with a record in Zoho CRM.

Update Zoho CRM Event

Updates existing events in Zoho CRM.

Update Zoho CRM Layout

Update a custom layout's metadata, profile access, sections, or fields.

Update Lead

Updates existing lead records in Zoho CRM.

Update Zoho CRM Note

Updates an existing note in Zoho CRM.

Update Related Records in Zoho CRM

Associates or updates relationships between records across different modules in Zoho CRM.

Update Zoho CRM User

Update a Zoho CRM user's name, email, contact details, locale, time preferences, role, profile, or status by ID.

Update Zoho CRM Webform

Replace one Zoho CRM webform configuration using the V8 path-ID route.

Update Zoho CRM Workflow Rule

Update a Zoho CRM workflow rule's name, description, or activation status by ID.

Update Zoho CRM Record

Updates existing records in a specified module in Zoho CRM.

Upload Attachment to Zoho CRM Record

Tool to upload a file as an Attachment to a specific Zoho CRM record.

Upload Zoho CRM Record Photo

Set or replace the photo on a supported Zoho CRM record.

Upsert Zoho CRM Records

Insert or update up to 100 records using Zoho CRM duplicate matching.

Validate Zoho CRM Credentials

Validates Zoho CRM credentials by retrieving current user information.

FRAMEWORKS

How to build Zoho MCP Agent with another framework

Claude Code logo

Claude Code

Use Zoho MCP with Claude Code

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Claude Cowork

Use Zoho MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Zoho MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Zoho MCP with Claude Agent SDK

Muse logo

Muse

Use Zoho MCP with Muse

Codex logo

Codex

Use Zoho MCP with Codex

Kimi Code logo

Kimi Code

Use Zoho MCP with Kimi Code

OpenClaw logo

OpenClaw

Use Zoho MCP with OpenClaw

Hermes logo

Hermes

Use Zoho MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Zoho MCP with Atomic Agent

CLI logo

CLI

Use Zoho MCP with CLI

Google ADK logo

Google ADK

Use Zoho MCP with Google ADK

LangChain logo

LangChain

Use Zoho MCP with LangChain

Mastra AI logo

Mastra AI

Use Zoho MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Zoho MCP with LlamaIndex

CrewAI logo

CrewAI

Use Zoho MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Zoho MCP with Pydantic AI

AutoGen logo

AutoGen

Use Zoho MCP with AutoGen

FAQ

Frequently asked questions

With a standalone Zoho MCP server, the agents and LLMs can only access a fixed set of Zoho tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Zoho and many other apps based on the task at hand, all through a single MCP endpoint.

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 Zoho tools.

Yes, absolutely. You can configure which Zoho 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.

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 Zoho data and credentials are handled as safely as possible.

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