How to integrate Asana MCP with Vercel AI SDK v6

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Introduction

This guide walks you through connecting Asana to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Asana agent that can create a new project for q3 goals, add followers to the product launch task, attach a file to today's meeting notes task through natural language commands.

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

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

Also integrate Asana with

TL;DR

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

The Asana MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Asana account. It provides structured and secure access to your Asana workspace, so your agent can perform actions like creating tasks, managing projects, tagging work, assigning followers, and attaching files on your behalf.

  • Automated task creation and updates: Let your agent create new tasks with specific details, add tasks to projects or sections, and update them as work progresses.
  • Collaborator and follower management: Easily add users as followers to tasks, ensuring that the right people stay informed and engaged with project updates.
  • Project and workspace organization: Create new projects, define custom fields, and set up tags to keep your Asana workspace organized and tailored to your team's workflow.
  • File and attachment handling: Allow your agent to upload and attach important files directly to tasks, making sure all documentation stays in the right context.
  • Goal and resource linking: Link tasks, projects, or portfolios to goals, or add supporting relationships to help your team track progress and dependencies more effectively.

Supported Tools & Triggers

Tools
Triggers
Add Followers to ProjectTool to add followers to a project in Asana.
Add Followers to TaskTool to add followers to a task in Asana.
Add item to portfolioAdd a project (or other supported item) to an Asana portfolio using the native addItem endpoint.
Add Members to ProjectTool to add users to a project in Asana.
Add Project to TaskTool to add a project to a task in Asana.
Add Supporting Relationship to GoalTool to add a supporting goal relationship to a goal.
Add Tag to TaskTool to add an existing tag to a task in Asana.
Add Task DependenciesTool to add dependency relationships to an Asana task.
Add task to sectionAdds an existing task to a section, optionally positioning it before or after another task in that section; if no position is specified, the task is added to the end.
Add User for TeamTool to add a user to a team in Asana.
Add User for WorkspaceTool to add a user to a workspace or organization in Asana.
Approve Access RequestTool to approve an access request in Asana.
Create Access RequestTool to create an access request in Asana.
Create AllocationCreates a new allocation.
Create a projectCreates a new Asana project in the specified workspace.
Create a tag in a workspaceCreates a new tag, with properties like name and color defined in the request body, within a specific Asana workspace (using `workspace_gid`); this tag helps categorize tasks, is confined to the workspace, and is not automatically applied to tasks.
Create task in asana with specific detailsCreates a new Asana task; requires 'workspace', 'parent', or 'projects' for association, and 'followers', 'projects', 'tags' are set only at creation.
Create Attachment for ObjectTool to upload an attachment or link an external resource to a task, project, or project_brief in Asana.
Create Attachment for TaskTool to upload an attachment to a task.
Create Custom FieldTool to create a new custom field in a workspace.
Create Enum Option for Custom FieldTool to create a new enum option for a custom field in Asana.
Create MembershipTool to create a membership by adding a user or team to a project, goal, or portfolio.
Create Project BriefTool to create a project brief for a project.
Create project for teamTool to create a project in a team.
Create project for workspaceTool to create a project in a workspace.
Create Project Status UpdateTool to create a new status update on a project.
Create a section in a projectCreates a new SECTION (not a task) in a project.
Create Status Update for ObjectTool to create a status update on a project, portfolio, or goal.
Create subtaskCreates a new Asana subtask under an existing parent task (`task_gid`); `due_on` and `due_at` are mutually exclusive and cannot be set simultaneously.
Create a tagTool to create a new tag in an Asana workspace.
Create task commentAdds a new text comment (story) to an existing Asana task, appearing in its activity feed.
Create TeamTool to create a new team in an Asana workspace.
Delete AllocationTool to delete an allocation by its ID.
Delete AttachmentTool to delete an attachment by its globally unique identifier.
Delete Custom FieldTool to delete a custom field by its globally unique identifier.
Delete MembershipTool to delete a membership by its GID.
Delete a projectDelete a project.
Delete Project BriefTool to delete a project brief by its GID.
Delete Project StatusTool to delete a project status by its GID.
Delete a sectionTool to delete a section by its GID.
Delete Status UpdateTool to delete a status update by its GID.
Delete StoryTool to delete a story by its GID.
Delete a TagTool to delete a specific tag by its GID.
Delete a taskDelete a task.
Duplicate ProjectDuplicate a project.
Duplicate TaskDuplicate a task
Get Access RequestsTool to retrieve access requests for a target object.
Get AllocationGet an allocation by ID.
Get AllocationsTool to get multiple allocations.
Get a projectRetrieves a specific Asana project by its `project_gid`, with an option to include additional fields for comprehensive details using `opt_fields`; this action does not return tasks within the project.
Get a taskRetrieves full details for a specified task GID accessible by the user; use `opt_fields` to customize returned data.
Get AttachmentTool to get a single attachment by its globally unique identifier.
Get Audit Log EventsTool to get audit log events for a workspace.
Get a user task listRetrieves a specific user's task list from Asana by its `user_task_list_gid`, optionally returning extended details like name, owner, and workspace if specified in `opt_fields`.
Get current userRetrieves the authenticated user's full record, including accessible workspaces, often used as an initial call to establish user context for subsequent operations.
Get Custom FieldTool to get a single custom field by its globally unique identifier.
Get Custom Fields for WorkspaceTool to get all custom fields in a workspace.
Get Custom TypesTool to get all custom types associated with a project.
Get Events on a ResourceRetrieve events on a resource to monitor changes.
Get Favorites for UserTool to get a user's favorites within a specified workspace.
Get GoalRetrieve the full record for a single goal by its GID.
Get Goal RelationshipsTool to retrieve goal relationships.
Get GoalsTool to retrieve multiple goals.
Get JobTool to retrieve a job by its globally unique identifier.
Get MembershipTool to retrieve a single membership by its ID.
Get MembershipsTool to retrieve memberships for goals, projects, portfolios, or custom fields.
Get multiple projectsReturns a list of projects filtered by workspace or team (one required), with optional archived status filter, supporting pagination for large datasets.
Get multiple tasksRetrieves a list of tasks, allowing filtering by assignee (requires `workspace`), project, section, `completed_since`, and `modified_since`; `workspace` also requires `assignee`.
Get multiple usersReturns a list of users in an Asana workspace or organization, optionally filtered by workspace or team GID, with support for pagination and specifying optional fields.
Get multiple workspacesRetrieves all workspaces accessible by the authenticated user, returning an empty list if the user has no accessible workspaces.
Get PortfolioRetrieve the full record for a single portfolio by its GID.
Get Portfolio ItemsRetrieve items in a portfolio.
Get Portfolio MembershipsTool to retrieve multiple portfolio memberships.
Get PortfoliosRetrieve multiple portfolios.
Get Project BriefTool to retrieve a project brief by its GID.
Get Project MembershipTool to get a project membership by ID.
Get Project Memberships For ProjectTool to get memberships from a specific project.
Get Projects for TaskTool to get all projects a task is in.
Get Projects for TeamTool to get a list of projects for a specific team in Asana.
Get Project StatusTool to retrieve the full record for a single project status by its GID.
Get Project Status UpdatesTool to get status updates for a specific project.
Get Multiple Project TemplatesTool to retrieve multiple project templates.
Get Project Templates for TeamTool to get a team's project templates in Asana.
Get Reactions on ObjectTool to get reactions with a specific emoji base character on an object.
Get SectionRetrieve the full record for a single section by its GID.
Get sections in a projectReturns compact records for all sections (used to group tasks) in a specified project.
Get Status UpdateTool to retrieve the full record for a single status update by its GID.
Get Status UpdatesRetrieve status updates from an object.
Get Stories for TaskTool to get stories (comments, status updates, etc.
Get StoryTool to retrieve a story.
Get TagTool to get a single tag by its globally unique identifier.
Get TagsGet multiple tags in a workspace.
Get Tags for TaskTool to get all tags associated with a specific task.
Get Tags For WorkspaceTool to get all tags in a specific workspace.
Get Task AttachmentsTool to get the list of attachments for a given task, project, or project_brief.
Get Task Counts For ProjectTool to get task count statistics for a project.
Get tasks for tagTool to retrieve tasks associated with a specific Asana tag by tag GID.
Get tasks for user task listTool to retrieve tasks from a user task list by user task list GID.
Retrieve tasks for projectRetrieves tasks from a specified Asana project, allowing filtering by completion status and selection of optional fields for detailed responses.
Get tasks from a sectionTool to retrieve tasks that belong to a specific Asana section (column/header) by section GID.
Get Task SubtasksTool to retrieve multiple task subtasks from a workspace.
Get Task TemplatesTool to retrieve multiple task templates from a workspace.
Get TeamTool to retrieve details of a specific team by its GID.
Get Team MembershipTool to retrieve a complete team membership record by its GID.
Get Team MembershipsTool to retrieve compact team membership records.
Get Team Memberships for TeamTool to get memberships from a specific team.
Get Team Memberships For UserTool to get team memberships for a specific user.
Get Teams for UserTool to get teams for a specific user in an organization.
Get teams in workspaceReturns the compact records for all teams in the workspace visible to the authorized user.
Get Time PeriodTool to retrieve the full record for a single time period by its GID.
Get Time PeriodsTool to retrieve compact or full representations of time periods.
Get Time Tracking EntriesTool to get multiple time tracking entries across workspace, tasks, or projects.
Get Time Tracking Entries for TaskTool to get time tracking entries for a task.
Get Objects via TypeaheadTool to retrieve objects in a workspace via a typeahead search algorithm.
Get UserGet a user by their ID.
Get User in WorkspaceTool to get a user in a workspace or organization by their GID.
Get Users for TeamGet users in a team.
Get Users in WorkspaceGet users in a workspace or organization.
Get User Task ListTool to get a single user task list by its globally unique identifier.
Get WebhooksTool to retrieve multiple webhooks in a workspace.
Get WorkspaceTool to retrieve details of a specific workspace by its GID.
Get Workspace MembershipTool to retrieve a specific workspace membership by its GID.
Get Workspace MembershipsTool to retrieve the workspace memberships for a specific workspace.
Get Workspace Memberships For UserTool to retrieve workspace memberships for a specific user.
Get Workspace ProjectsTool to retrieve the projects associated with a specific workspace.
Reorder Enum Option for Custom FieldTool to reorder an existing enum option within a custom field by moving it before or after another specified enum option.
Move or Insert Section in ProjectTool to move or reorder an existing section within a project by repositioning it before or after another section.
Instantiate Project TemplateInstantiate (create) a real Asana project from a project template, returning the async job record.
Reject access requestTool to reject an access request.
Remove Follower From TaskTool to remove one or more followers from a task.
Remove Followers For ProjectTool to remove followers from a project in Asana.
Remove Item from PortfolioTool to remove an item (e.
Remove Members from ProjectTool to remove users from a project in Asana.
Remove Project from TaskTool to remove a project from a task in Asana.
Remove Tag from TaskTool to remove an existing tag from a task in Asana.
Remove User For TeamTool to remove a user from a team.
Remove User from WorkspaceTool to remove a user from a workspace or organization.
Search Tasks in WorkspaceTool to search tasks across a workspace with advanced filters.
Set parent for taskTool to set the parent of a task in Asana.
Submit Parallel Requests (Batch API)Tool to submit multiple Asana API requests in parallel using the Batch API.
Update AllocationTool to update an existing allocation by its ID.
Update a taskUpdates attributes of an existing Asana task identified by its task_gid.
Update Custom FieldTool to update a custom field by its globally unique identifier.
Update Enum OptionTool to update an enum option for a custom field.
Update a projectUpdate a project.
Update Project BriefTool to update a project brief by its GID.
Update SectionUpdate a section's name or position within a project.
Update StoryTool to update a story on a task.
Update TagTool to update an existing tag by its globally unique identifier.
Update a teamTool to update details of an existing team.
Update UserUpdate a user's custom fields.
Update User for WorkspaceTool to update a user in a workspace or organization.
Update a webhookTool to update an existing Asana webhook's filter configuration.

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

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 { 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: ["asana"],
  });

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

  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 asana, 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 Asana 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.

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FAQ

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

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

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

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

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