How to integrate Hookdeck MCP with Vercel AI SDK

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Introduction

This guide walks you through connecting Hookdeck to Vercel AI SDK using the Composio tool router. By the end, you'll have a working Hookdeck agent that can retry all failed webhook events from today, create a new source for github webhooks, bookmark this event for quick review later, cancel scheduled retries for a specific webhook through natural language commands.

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

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

TL;DR

Here's what you'll learn:
  • How to set up and configure a Vercel AI SDK agent with Hookdeck integration
  • Using Composio's Tool Router to dynamically load and access Hookdeck 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
  • Step Counting: Control multi-step tool execution
  • OpenAI Provider: Native integration with OpenAI models

What is the Hookdeck MCP server, and what's possible with it?

The Hookdeck MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Hookdeck account. It provides structured and secure access to your webhook management platform, so your agent can perform actions like routing webhooks, managing events, configuring sources and destinations, and automating retries or cancellations on your behalf.

  • Automated event management: Let your agent bulk cancel or retry multiple webhook events, keeping your pipeline clean and efficient without manual intervention.
  • Source and destination setup: Have the agent create, configure, and manage Hookdeck sources and destinations for seamless webhook routing between services.
  • Connection orchestration: Direct your agent to establish new connections between sources and destinations, ensuring events flow exactly where you want them to go.
  • Payload transformation: Empower the agent to create custom payload transformations using JavaScript, modifying webhook data before it reaches your endpoints.
  • Bookmarking and cleanup: Ask your agent to bookmark important events for quick access or delete outdated bookmarks to keep your workspace organized.

Supported Tools & Triggers

Tools
Bulk Cancel Hookdeck EventsTool to create a bulk cancellation job for events.
Bulk Retry Hookdeck EventsTool to initiate a bulk retry for a set of events.
Cancel Hookdeck EventTool to cancel all future delivery attempts for a specific event.
Cancel Hookdeck Scheduled RetriesTool to cancel all future scheduled retries for an event.
Create Hookdeck BookmarkTool to create a new bookmark.
Create Hookdeck ConnectionTool to create a connection between a source and a destination.
Create Hookdeck DestinationTool to create a new Hookdeck destination.
Create Hookdeck SourceTool to create a new Hookdeck source.
Create Hookdeck TransformationTool to create a new Hookdeck transformation.
Delete Hookdeck BookmarkTool to delete a specific bookmark by its ID.
Delete Hookdeck ConnectionTool to delete a specific connection by its ID.
Delete Hookdeck DestinationTool to delete a specific destination by its ID.
Delete Hookdeck SourceTool to delete a specific source by its ID.
Delete Hookdeck TransformationTool to delete a specific transformation by its ID.
Get Hookdeck AttemptTool to retrieve details of a specific Hookdeck attempt by its ID.
Get attemptsTool to list delivery attempts for your Hookdeck account.
Get Hookdeck ConnectionTool to retrieve details of a specific Hookdeck connection.
Hookdeck: Get ConnectionsTool to list Hookdeck connections.
Get Hookdeck DestinationTool to retrieve details of a specific Hookdeck destination.
Hookdeck: Get DestinationsTool to list Hookdeck destinations.
Get eventsTool to list events for your Hookdeck account.
Get Hookdeck RequestTool to retrieve details of a specific Hookdeck request.
Hookdeck: Get RequestsTool to list Hookdeck requests.
Get sourcesTool to retrieve all sources associated with your Hookdeck account.
Get Hookdeck TransformationTool to retrieve details of a specific Hookdeck transformation.
Get transformationsTool to list Hookdeck transformations.
Get Hookdeck SourceTool to retrieve details of a specific Hookdeck source.
Send Hookdeck Source RequestTool to send HTTP requests to a Hookdeck Source URL.
List Hookdeck BookmarksTool to list bookmarks.
Hookdeck: List IssuesTool to list all issues detected in your Hookdeck account.
Manually Retry Hookdeck EventTool to manually retry a specific Hookdeck event delivery.
Replay Hookdeck EventTool to replay a specific Hookdeck event.
Resolve Hookdeck IssueTool to resolve a Hookdeck issue.
Retrieve Hookdeck IssueTool to retrieve details of a specific Hookdeck issue.
Trigger Hookdeck BookmarkTool to trigger a stored request via its bookmark ID.
Hookdeck Update ConnectionTool to update an existing connection.
Update Hookdeck DestinationTool to update an existing Hookdeck destination.
Hookdeck Update SourceTool to update a Hookdeck source.
Update Hookdeck TransformationTool to update an existing Hookdeck transformation.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

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

How the Tool Router works

The Tool Router 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

Prerequisites

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

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.

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

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

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 { experimental_createMCPClient as 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

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: ["hookdeck"],
  });

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

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 Hookdeck tools that the agent can use

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 hookdeck, 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

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("\nšŸ‘‹ 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 Hookdeck 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 Hookdeck 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 { experimental_createMCPClient as 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: ["hookdeck"],
  });

  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 hookdeck, 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("\nšŸ‘‹ Session ended.");
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});

Conclusion

You've successfully built a Hookdeck 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 Hookdeck MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Hookdeck MCP with OpenAI Agents SDK

Claude Agent SDK

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Use Hookdeck MCP with Claude Agent SDK

Google ADK

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Use Hookdeck MCP with Google ADK

LangChain

LangChain

Use Hookdeck MCP with LangChain

Mastra AI

Mastra AI

Use Hookdeck MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Hookdeck MCP with LlamaIndex

CrewAI

CrewAI

Use Hookdeck MCP with CrewAI

FAQ

What are the differences in Tool Router MCP and Hookdeck MCP?

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

Yes, you can. Vercel AI SDK 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 Hookdeck tools.

Can I manage the permissions and scopes for Hookdeck while using Tool Router?

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

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