How to integrate Wrike MCP with CrewAI

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Introduction

This guide walks you through connecting Wrike to CrewAI 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 CrewAI 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:
  • Get a Composio API key and configure your Wrike connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Wrike
  • Build a conversational loop where your agent can execute Wrike operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Wrike connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python

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 dependencies

bash
pip install composio crewai crewai-tools python-dotenv
What's happening:
  • composio connects your agent to Wrike via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools includes MCP helpers
  • python-dotenv loads environment variables from .env

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
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 with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model

Import dependencies

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter  # optional import if you plan to adapt tools
from composio import Composio
from dotenv import load_dotenv
import os
from crewai.mcp import MCPServerHTTP

load_dotenv()
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Wrike MCP URL

Create a Composio Tool Router session for Wrike

python
composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
session = composio.create(
    user_id=os.getenv("USER_ID"),
    toolkits=["wrike"],
)
url = session.mcp.url
What's happening:
  • You create a Wrike only session through Composio
  • Composio returns an MCP HTTP URL that exposes Wrike tools

Configure the LLM

python
llm = LLM(
    model="gpt-5-mini",
    api_key=os.getenv("OPENAI_API_KEY"),
)
What's happening:
  • CrewAI will call this LLM for planning and responses
  • You can swap in a different model if needed

Attach the MCP server and create the agent

python
toolkit_agent = Agent(
    role="Wrike Assistant",
    goal="Help users interact with Wrike through natural language commands",
    backstory=(
        "You are an expert assistant with access to Wrike tools. "
        "You can perform various Wrike operations on behalf of the user."
    ),
    mcps=[
        MCPServerHTTP(
            url=url,
            streamable=True,
            cache_tools_list=True,
            headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")},
        ),
    ],
    llm=llm,
    verbose=True,
    max_iter=10,
)
What's happening:
  • MCPServerHTTP connects the agent to the Wrike MCP endpoint
  • cache_tools_list saves a tools catalog for faster subsequent runs
  • verbose helps you see what the agent is doing

Add a REPL loop with Task and Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to perform Wrike operations.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Based on the conversation history:\n{conversation_context}\n\n"
            f"Current user request: {user_input}\n\n"
            f"Please help the user with their Wrike related request."
        ),
        expected_output="A helpful response addressing the user's request",
        agent=toolkit_agent,
    )

    crew = Crew(
        agents=[toolkit_agent],
        tasks=[task],
        verbose=False,
    )

    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's happening:
  • You build a simple chat loop and keep a running context
  • Each user turn becomes a Task handled by the same agent
  • Crew executes the task and returns a response

Run the application

python
if __name__ == "__main__":
    main()
What's happening:
  • Standard Python entry point so you can run python crewai_wrike_agent.py

Complete Code

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

python
# file: crewai_wrike_agent.py
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter  # optional
from composio import Composio
from dotenv import load_dotenv
import os
from crewai.mcp import MCPServerHTTP

load_dotenv()

def main():
    # Initialize Composio and create a Wrike session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["wrike"],
    )
    url = session.mcp.url

    # Configure LLM
    llm = LLM(
        model="gpt-5-mini",
        api_key=os.getenv("OPENAI_API_KEY"),
    )

    # Create Wrike assistant agent
    toolkit_agent = Agent(
        role="Wrike Assistant",
        goal="Help users interact with Wrike through natural language commands",
        backstory=(
            "You are an expert assistant with access to Wrike tools. "
            "You can perform various Wrike operations on behalf of the user."
        ),
        mcps=[
            MCPServerHTTP(
                url=url,
                streamable=True,
                cache_tools_list=True,
                headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")},
            ),
        ],
        llm=llm,
        verbose=True,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Try asking the agent to perform Wrike operations.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Based on the conversation history:\n{conversation_context}\n\n"
                f"Current user request: {user_input}\n\n"
                f"Please help the user with their Wrike related request."
            ),
            expected_output="A helpful response addressing the user's request",
            agent=toolkit_agent,
        )

        crew = Crew(
            agents=[toolkit_agent],
            tasks=[task],
            verbose=False,
        )

        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

if __name__ == "__main__":
    main()

Conclusion

You now have a CrewAI agent connected to Wrike through Composio's Tool Router. The agent can perform Wrike operations through natural language commands. Next steps:
  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations

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

Mastra AI

Mastra AI

Use Wrike MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Wrike MCP with LlamaIndex

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 CrewAI?

Yes, you can. CrewAI 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.

Used by agents from

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Context
ASU
Letta
glean
HubSpot
Agent.ai
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Rolai

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