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How to integrate Instagram MCP with Vercel AI SDK v6

Connect Vercel AI SDK v6 to Instagram MCP. Get analytics for last week's posts, list your most recent instagram photos, and more using natural language, with authentication handled for you.

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Instagram is a social platform for sharing photos, videos, and stories with your audience. It helps brands and creators engage, grow, and analyze their online presence.

33 Tools

Introduction

This guide walks you through connecting Instagram to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Instagram agent that can publish posts and carousels, reply to comments, send direct messages, fetch media insights, and view stories through natural language commands.

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

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

Also integrate Instagram with

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TL;DR

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

The Instagram MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Instagram Business or Creator account. It provides structured and secure access to your Instagram content and analytics, so your agent can publish posts, analyze insights, fetch comments, manage conversations, and more—all on your behalf.

  • Automated post and carousel publishing: Let your agent draft and publish single-photo, video, or multi-image carousel posts to your feed with ease.
  • Real-time comments retrieval: Ask your agent to fetch and organize comments from any of your Instagram posts, making it simple to engage with your audience.
  • Insightful analytics and reporting: Request detailed insights on individual posts or your entire account, including impressions, reach, and engagement metrics.
  • Direct message conversation management: Retrieve details about your Instagram DM conversations, including participants and recent messages, to help you stay connected.
  • Profile and media access: Instantly fetch your profile details, statistics, and all media you've posted—photos, videos, and reels—so your agent can reference or repurpose your content.

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: ["instagram"],
  });

  const mcpUrl = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Instagram 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 Instagram-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 Instagram 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 instagram, 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 Instagram 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 Instagram 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: ["instagram"],
  });

  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 instagram, 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 Instagram 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 Instagram action and event your agent gets out of the box.

Create Carousel Container

Create a draft carousel post with multiple images/videos before publishing.

Delete Comment

Tool to delete a comment on Instagram media.

Delete Messenger Profile

Delete ice breakers or a persistent menu from an Instagram messenger profile.

Enable Webhook Subscriptions

Enable selected Instagram Login webhook fields for delivery to the connected professional account.

Get Conversation

Get details about a specific Instagram DM conversation (participants, etc).

Get IG Comment Replies

Get replies to a specific Instagram comment.

Get Instagram Media

Get a published Instagram Media object (photo, video, story, reel, or carousel).

Get IG Media Children

Tool to get media objects (images/videos) that are children of an Instagram carousel/album post.

List Media Comments

List selected comments for an Instagram media object ID using fields, limit, and after cursors.

Get IG Media Insights

Tool to get insights and metrics for Instagram media objects (photos, videos, reels, carousel albums).

Get IG User Content Publishing Limit

Get an Instagram Business Account's current content publishing usage.

Get IG User Live Media

Get live media objects during an active Instagram broadcast.

List User Media

List one cursor-paginated page of user media with selected fields; use ig_user_id='me' for the authenticated account.

Get IG User Stories

Get active story media objects for an Instagram Business or Creator account.

Get IG User Tags

Get one page of media tagging an Instagram Business or Creator account using Instagram Login.

Get Messenger Profile

Get the messenger profile settings for an Instagram account.

Get Multiple Graph Nodes

Retrieve the same selected fields for multiple Instagram Graph nodes, preserving the provider's ID-to-object mapping.

Get Page Conversations

Get Instagram conversations for a Page connected to an Instagram Business account.

Get User Info

Get Instagram Business Account info including profile details and statistics.

Get User Insights

Get Instagram account-level insights and analytics (profile views, reach, follower count, etc.

List All Conversations

List one cursor-paginated page of Instagram DM conversations for the authenticated or specified Business/Creator account, optionally selecting conversation fields and filtering for one participant.

List All Messages

List one cursor-paginated page of messages from a specific Instagram DM conversation using an exact caller-selectable field projection.

List Subscribed Apps

Return one provider page of apps enabled for webhook notifications on the authenticated Instagram professional account, including subscribed fields.

Mark Seen

Mark Instagram DM messages as read/seen for a specific user.

Post IG Comment Replies

Tool to create a reply to an Instagram comment.

Post IG Media Comments

Tool to create a comment on an Instagram media object.

Post IG User Media

Tool to create a media container for Instagram posts.

Publish IG User Media

Tool to publish a media container to an Instagram Business account.

Reply to IG User Mentions

Tool to reply to a mention of your Instagram Business or Creator account.

Send Image

Send an image via Instagram DM to a specific user.

Send Text Message

Send a text message to an Instagram user via DM in an existing conversation.

Set Media Comment Availability

Enable or disable new comments on owned, published Instagram media.

Update Messenger Profile

Tool to update the messenger profile settings for an Instagram account.

FRAMEWORKS

How to build Instagram MCP Agent with another framework

Claude Code logo

Claude Code

Use Instagram MCP with Claude Code

Cursor logo

Cursor

Use Instagram MCP with Cursor

ChatGPT logo

ChatGPT

Use Instagram MCP with ChatGPT

Claude Cowork logo

Claude Cowork

Use Instagram MCP with Claude Cowork

Antigravity logo

Antigravity

Use Instagram MCP with Antigravity

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Instagram MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Instagram MCP with Claude Agent SDK

Grok Bot logo

Grok Bot

Use Instagram MCP with Grok Bot

Codex logo

Codex

Use Instagram MCP with Codex

Kimi Code logo

Kimi Code

Use Instagram MCP with Kimi Code

Grok Build logo

Grok Build

Use Instagram MCP with Grok Build

VS Code logo

VS Code

Use Instagram MCP with VS Code

OpenCode logo

OpenCode

Use Instagram MCP with OpenCode

OpenClaw logo

OpenClaw

Use Instagram MCP with OpenClaw

Hermes logo

Hermes

Use Instagram MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Instagram MCP with Atomic Agent

CLI logo

CLI

Use Instagram MCP with CLI

Google ADK logo

Google ADK

Use Instagram MCP with Google ADK

LangChain logo

LangChain

Use Instagram MCP with LangChain

Mastra AI logo

Mastra AI

Use Instagram MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Instagram MCP with LlamaIndex

CrewAI logo

CrewAI

Use Instagram MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Instagram MCP with Pydantic AI

AutoGen logo

AutoGen

Use Instagram MCP with AutoGen

FAQ

Frequently asked questions

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

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

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