# How to integrate Worksnaps MCP with Vercel AI SDK v6

```json
{
  "title": "How to integrate Worksnaps MCP with Vercel AI SDK v6",
  "toolkit": "Worksnaps",
  "toolkit_slug": "worksnaps",
  "framework": "Vercel AI SDK",
  "framework_slug": "ai-sdk",
  "url": "https://composio.dev/toolkits/worksnaps/framework/ai-sdk",
  "markdown_url": "https://composio.dev/toolkits/worksnaps/framework/ai-sdk.md",
  "updated_at": "2026-05-12T10:30:40.526Z"
}
```

## Introduction

This guide walks you through connecting Worksnaps to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Worksnaps agent that can show your total hours logged this week, list all tasks for project alpha, create a new project for client onboarding through natural language commands.
This guide will help you understand how to give your Vercel AI SDK agent real control over a Worksnaps account through Composio's Worksnaps MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Worksnaps with

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

## TL;DR

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

The Worksnaps MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Worksnaps account. It provides structured and secure access to your time tracking and project data, so your agent can perform actions like tracking project hours, managing tasks, retrieving detailed reports, and accessing user assignments on your behalf.
- Project and task management: Direct your agent to create new projects, add tasks, or delete tasks from specific projects for streamlined workflow organization.
- Comprehensive project reporting: Request detailed time tracking reports for individual projects, including daily summaries and custom date ranges.
- Account and assignment insights: Let your agent fetch account details and list all user assignments to see which projects you're working on or managing.
- Quick project overview retrieval: Ask the agent to list all accessible projects or view detailed information about any project with just a prompt.
- Task detail and status checks: Retrieve details for any task within a project, so you can stay on top of progress and workload effortlessly.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `WORKSNAPS_CREATE_PROJECT` | Create Project | Creates a new project in Worksnaps for tracking time and tasks. Use this tool when you need to set up a new project for time tracking. Projects serve as containers for tasks and time entries. Each project must have a unique name within the account. Note: Account plan limits may restrict the number of projects that can be created. |
| `WORKSNAPS_CREATE_TASK` | Create task | Tool to create a new task in a specified project. Use after confirming project ID exists. |
| `WORKSNAPS_DELETE_TASK` | Delete Task | Permanently deletes a task from a Worksnaps project. This action is destructive and cannot be undone. Use GET_TASKS first to find the task_id, and GET_PROJECTS to find the project_id. Returns success=true if the task was deleted. Returns 404 error if project or task does not exist. |
| `WORKSNAPS_GET_PROJECT_DETAILS` | Get Project Details | Tool to retrieve details of a specific project. Use when you have a project_id and need its details. |
| `WORKSNAPS_GET_PROJECT_REPORT` | Get Project Report | Retrieves time entries for a specific project using the Worksnaps Time Entries API. Returns individual time tracking records showing when users worked on the project. Use this to get detailed time tracking data for a project within a timestamp range. Timestamps must be Unix timestamps at 10-minute interval boundaries. |
| `WORKSNAPS_GET_PROJECTS` | Get Projects | Tool to retrieve a paginated list of projects. Use after authenticating to list accessible projects. |
| `WORKSNAPS_GET_TASK_DETAILS` | Get Task Details | Tool to retrieve details of a specific task within a project. Use after confirming project_id and task_id. |
| `WORKSNAPS_GET_TASKS` | Get Project Tasks | Tool to retrieve tasks for a specific project. Use when you have a project ID and need its tasks. Example: 'Get tasks for project 42'. |
| `WORKSNAPS_GET_USER_ACCOUNT` | Get User Account | Tool to retrieve information about a specific user account. Use after confirming the user_id. |
| `WORKSNAPS_GET_USER_ASSIGNMENTS` | Get User Assignments | Tool to retrieve a list of all user assignments for a specific project. Returns details about users assigned to the project including their roles, permissions, and contact information. |
| `WORKSNAPS_GET_USERS` | Get Users | Retrieves a list of all users in the Worksnaps account. Returns user details including id, login, name, email, time zone, and active status. Use this to get user IDs for other user-related operations. |
| `WORKSNAPS_PUT_UPDATE_PROJECT` | Update Project | Tool to update an existing project. Use when you have project_id and fields to modify. |
| `WORKSNAPS_PUT_UPDATE_TASK` | Update Task | Tool to update details of an existing task. Use when you have project_id, task_id, and fields to update. |
| `WORKSNAPS_PUT_UPDATE_USER_ACCOUNT` | Update User Account | Tool to update information for a specific user account. Use when modifying user details after confirming the user exists. Note: This can only be done by the user himself or by a trusted partner using partner's API token. |

## Supported Triggers

None listed.

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

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

  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 Worksnaps 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 worksnaps, 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 Worksnaps 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: ["worksnaps"],
  });

  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 worksnaps, 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 Worksnaps 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 Worksnaps MCP Agent with another framework

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

## Related Toolkits

- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.
- [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.
- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place.
- [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place.
- [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives.
- [Boxhero](https://composio.dev/toolkits/boxhero) - Boxhero is a cloud-based inventory management platform for SMBs, offering real-time updates, barcode scanning, and team collaboration. It helps businesses streamline stock tracking and analytics for smarter inventory decisions.
- [Breathe HR](https://composio.dev/toolkits/breathehr) - Breathe HR is cloud-based HR software for SMEs to manage employee data, absences, and performance. It simplifies HR admin, making it easy to keep employee records accurate and up to date.
- [Breeze](https://composio.dev/toolkits/breeze) - Breeze is a project management platform designed to help teams plan, track, and collaborate on projects. It streamlines workflows and keeps everyone on the same page.
- [Bugherd](https://composio.dev/toolkits/bugherd) - Bugherd is a visual feedback and bug tracking tool for websites. It helps teams and clients report website issues directly on live sites for faster fixes.
- [Canny](https://composio.dev/toolkits/canny) - Canny is a platform for managing customer feedback and feature requests. It helps teams prioritize product decisions based on real user insights.
- [Chmeetings](https://composio.dev/toolkits/chmeetings) - Chmeetings is a church management platform for events, members, donations, and volunteers. It streamlines church operations and improves community engagement.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Worksnaps MCP?

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

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

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

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
