How to integrate Wrike MCP with Mastra AI

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Introduction

This guide walks you through connecting Wrike to Mastra AI using the Composio tool router. By the end, you'll have a working Wrike agent that can create a new task in marketing folder, add multiple users to project group, invite a teammate to the workspace, delete completed tasks from design folder through natural language commands.

This guide will help you understand how to give your Mastra AI agent real control over a Wrike account through Composio's Wrike 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:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Wrike tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Wrike tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Wrike agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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

The Wrike MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Wrike account. It provides structured and secure access to your project spaces, so your agent can perform actions like creating tasks, managing folders, handling group memberships, sending workspace invitations, and automating project workflows on your behalf.

  • Automated task creation and management: Let your agent quickly create new tasks in specific folders, assign details, and keep your projects moving forward without manual input.
  • Dynamic folder and project organization: Have your agent generate new folders or subfolders to structure work, or clean up by deleting old folders and their contents when projects wrap up.
  • Efficient user and group management: Easily add, remove, or modify group memberships and create new user groups to keep team permissions organized and up-to-date.
  • Seamless workspace invitations: Direct your agent to invite teammates or collaborators to your Wrike workspace via email, including customizing invitation details for better onboarding.
  • Custom field and data cleanup: Empower your agent to delete custom fields, tasks, or groups when they're no longer needed, helping you maintain a clean and efficient workspace.

Supported Tools & Triggers

Tools
Bulk modify group membersAdds or removes members for multiple wrike groups in a single request; all specified user ids must correspond to existing wrike users.
Create a folderCreates a new wrike subfolder within the specified `folderid`, optionally as a project if `customitemtypeid` is given; the folder is auto-shared with its creator.
Create a groupCreates a new user group in wrike with a specified title, optionally setting members, parent group, avatar, and custom metadata.
Create invitationInvites a user to a wrike workspace by email, optionally with name, specifying either `usertypeid` or a combination of `role`/`external`; custom email subject/message available for paid accounts.
Create task in folderCreates a new task in a specified wrike folder; if setting priority with `prioritybefore` or `priorityafter`, the referenced task must be in the same folder or project.
Delete custom field by idPermanently deletes a custom field by its id; this action is irreversible and requires a valid, existing custom field id.
Delete folderPermanently deletes the folder specified by `folderid` and all its contents (e.
Delete group by idPermanently deletes a group by its `groupid`; this action is irreversible and does not affect user accounts that were members of the group.
Delete invitationPermanently deletes an existing invitation, specified by its unique `invitationid`; this action cannot be undone.
Delete taskPermanently deletes a wrike task and all its associated data by its id; this action is irreversible and the task must exist.
Fetch all tasksFetches tasks from a wrike account, allowing filtering by status, due date, and subfolder inclusion, with customizable response fields and pagination.
Get account informationRetrieves detailed wrike account information, where the response content is influenced by selected fields, account subscription, and user permissions.
Get all custom fieldsRetrieves all custom field definitions (including id, name, type, and settings) from the wrike account; this returns the definitions themselves, not their specific values on wrike items, and is useful for obtaining custom field ids.
Get contactsRetrieves a list of wrike contacts (e.
Get foldersRetrieves folders and/or projects from wrike, with filters; when using `nextpagetoken`, all other filter parameters must match the initial request.
Get specific contact informationRetrieves detailed information for a specific wrike contact using their unique `contactid`, optionally including `metadata` and `customfields` if specified in the `fields` parameter.
Get specific userRetrieves detailed information about a specific user in wrike using their unique user id.
Get task by idRetrieves read-only detailed information for a specific wrike task by its unique id, optionally allowing specification of fields to include in the response.
Launch folder blueprint asyncAsynchronously launches a new project or folder structure in wrike from a specified folder blueprint, typically returning a task id to track progress.
Launch Task Blueprint AsyncAsynchronously launches a wrike task blueprint to create tasks/projects, requiring either `super task id` (parent task) or `parent id` (parent folder/project) for placement.
List Folder BlueprintsRetrieves all account-level folder blueprints, which are templates for standardizing folder/project creation with predefined structures, custom fields, and workflows.
List space folder blueprintsLists all folder blueprints (templates for new folders/projects) within a specified wrike space, requiring a valid and accessible space id.
List space task blueprintsLists task blueprints (templates for creating tasks with consistent structures) available in a specific, accessible wrike space.
List subfolders by folder idLists subfolders (metadata only, not their contents) for an existing wrike folder specified by `folderid`, supporting recursive descent, filtering, and pagination.
List Task BlueprintsRetrieves a list of defined task blueprints (predefined task templates) from the wrike account, supporting pagination.
Update account metadataUpdates or adds custom key-value metadata to the wrike account, useful for integrations, storing app-specific data, or mapping external system identifiers.
Modify folder attributesModifies an existing wrike folder: updates title, description, parents (not root/recycle bin), sharing, metadata, custom fields/columns; restores, converts to project, or manages access roles.
Modify groupUpdates an existing wrike user group's attributes like title, members, parent, avatar, or metadata, using its `groupid` and specifying only the fields to change.
Modify taskModifies an existing wrike task by its id, allowing updates to attributes such as title, status, dates, assignees, and custom fields; `prioritybefore` and `priorityafter` are mutually exclusive, and parent folder ids for `addparents`/`removeparents` cannot be the recycle bin.
Retrieve custom field by idRetrieves a wrike custom field's detailed information (e.
Query invitationsRetrieves all active invitations in wrike, useful for viewing and auditing pending invitations or managing user onboarding.
Get group by idRetrieves detailed information for a specific wrike group using its `groupid`, optionally including 'metadata'.
Query workflowsFetches a list of all workflows with their detailed information from the wrike account; this is a read-only action and does not support pagination or filtering through its parameters.
Retrieve list of groupsRetrieves a list of user groups from the wrike account, supporting metadata filtering, pagination, and inclusion of specific fields; this is a read-only operation.
Update custom field by idUpdates properties of an existing wrike custom field by its id, such as its title, type, scope, or sharing settings.
Update invitationUpdates a pending wrike invitation (`invitationid`) to resend it or change user's role/type (use `usertypeid` over deprecated `role`/`external`).
Update metadata on a specific contactUpdates metadata, job role, or custom fields for an existing wrike contact specified by `contactid`; if `jobroleid` is provided, it must be a valid id.
Update a specific userUpdates specified profile attributes (e.

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 starting, make sure you have:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Wrike through MCP.

Install dependencies

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

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) 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 as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session

Create a Tool Router session for Wrike

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["wrike"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Wrike MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "wrike" for Wrike access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Wrike toolkit

Create the Mastra agent

typescript
const agent = new Agent({
    name: "wrike-mastra-agent",
    instructions: "You are an AI agent with Wrike tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\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({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        wrike: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Wrike toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Wrike and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) 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 as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["wrike"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      wrike: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "wrike-mastra-agent",
    instructions: "You are an AI agent with Wrike tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

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

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { wrike: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Wrike through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows

How to build Wrike MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Wrike MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Wrike MCP with Claude Agent SDK

Google ADK

Google ADK

Use Wrike MCP with Google ADK

LangChain

LangChain

Use Wrike MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Wrike MCP with Vercel AI SDK

LlamaIndex

LlamaIndex

Use Wrike MCP with LlamaIndex

CrewAI

CrewAI

Use Wrike MCP with CrewAI

FAQ

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

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

Can I use Tool Router MCP with Mastra AI?

Yes, you can. Mastra AI 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 Wrike tools.

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

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

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