# How to integrate Coassemble MCP with CrewAI

```json
{
  "title": "How to integrate Coassemble MCP with CrewAI",
  "toolkit": "Coassemble",
  "toolkit_slug": "coassemble",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/coassemble/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/coassemble/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:06:53.950Z"
}
```

## Introduction

This guide walks you through connecting Coassemble to CrewAI using the Composio tool router. By the end, you'll have a working Coassemble agent that can list all active courses for your team, show learner progress for a specific course, find users who haven't completed training through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Coassemble account through Composio's Coassemble MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Coassemble with

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

## TL;DR

Here's what you'll learn:
- Get a Composio API key and configure your Coassemble connection
- Set up CrewAI with an MCP enabled agent
- Create a Tool Router session or standalone MCP server for Coassemble
- Build a conversational loop where your agent can execute Coassemble 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 Coassemble MCP server, and what's possible with it?

The Coassemble MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Coassemble account. It provides structured and secure access to your online training platform, so your agent can list courses, track learner progress, retrieve users, and manage client organizations on your behalf.
- Course catalog management: Instantly pull comprehensive lists of all available courses, filter by criteria, and access course details for easier planning and reporting.
- Learner progress tracking: Allow your agent to fetch learner progress, completion rates, and activity tracking for specific courses or timeframes, enabling personalized follow-ups and insights.
- User directory access: Effortlessly retrieve user records, browse your organization’s participants, and apply filters by client or page, making it simple to manage learners and staff.
- Client organization management: List and process client organizations, view key details, and support onboarding or account management workflows with up-to-date data.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `COASSEMBLE_GET_CLIENTS` | Get Clients | Retrieve a paginated list of clients (organisations). Supports pagination via 'length' and 'page' parameters. Use when you need to list all client organisations or page through them systematically. |
| `COASSEMBLE_GET_COURSES` | Get Courses | Retrieve all courses from your Coassemble account with optional filtering and pagination. Use this tool to list, search, or browse courses. You can filter by user identifier, client identifier, or title, and control pagination with length and page parameters. All parameters are optional - call without parameters to get all courses. |
| `COASSEMBLE_GET_TRACKINGS` | Get Trackings | Retrieves learner progress tracking records for a specific course. Returns tracking objects containing progress percentages, completion status, and timestamps. Supports filtering by learner identifier, client identifier, date range, and completion status, with pagination support. |
| `COASSEMBLE_GET_USERS` | Get Users | Tool to retrieve a paginated list of users. Use when you need to browse or process user records optionally filtered by clientIdentifier. |

## Supported Triggers

None listed.

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

The Coassemble MCP server is an implementation of the Model Context Protocol that connects your AI agent to Coassemble. It provides structured and secure access so your agent can perform Coassemble 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 starting, make sure you have:
- Python 3.9 or higher
- A Composio account and API key
- A Coassemble connection authorized in Composio
- An OpenAI API key for the CrewAI LLM
- Basic familiarity with Python

### 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 dependencies

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

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**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 Coassemble MCP URL
```python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
```

### 5. Create a Composio Tool Router session for Coassemble

**What's happening:**
- You create a Coassemble only session through Composio
- Composio returns an MCP HTTP URL that exposes Coassemble tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["coassemble"])

url = session.mcp.url
```

### 6. Initialize the MCP Server

**What's Happening:**
- Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
- MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
- Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
- Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
- Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
```python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**What's Happening:**
- Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
- Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
- Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
- Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
- Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
- Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.
```python
print("Chat started! Type 'exit' or 'quit' to end.\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"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

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

## Complete Code

```python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["coassemble"],
)
url = session.mcp.url

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

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\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"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

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

## Conclusion

You now have a CrewAI agent connected to Coassemble through Composio's Tool Router. The agent can perform Coassemble 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 Coassemble MCP Agent with another framework

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

## Related Toolkits

- [Canvas](https://composio.dev/toolkits/canvas) - Canvas is a learning management system for online courses, assignments, grading, and collaboration. It's trusted by educators and students to streamline virtual classrooms and enhance digital learning.
- [Accredible certificates](https://composio.dev/toolkits/accredible_certificates) - Accredible Certificates is a platform for creating and managing digital certificates, badges, and blockchain credentials. It streamlines issuing, tracking, and verifying professional achievements for organizations of any size.
- [Api bible](https://composio.dev/toolkits/api_bible) - API.Bible is a developer platform for Scripture content and passage search. Easily integrate Bible verses and translations into your apps or chatbots.
- [Blackboard](https://composio.dev/toolkits/blackboard) - Blackboard is a digital learning platform for higher education and schools, offering tools to manage courses, track engagement, and deliver interactive content. It helps institutions improve student outcomes through actionable analytics and in-app guidance.
- [Certifier](https://composio.dev/toolkits/certifier) - Certifier is a platform for creating, managing, and issuing digital certificates and credentials. Organizations use it to automate and secure the entire credentialing process.
- [Classmarker](https://composio.dev/toolkits/classmarker) - ClassMarker is a professional online quiz maker for business and education. It provides instant grading, flexible test design, and in-depth reporting.
- [D2lbrightspace](https://composio.dev/toolkits/d2lbrightspace) - D2L Brightspace is a learning management system for delivering and managing online courses and assessments. It helps educators streamline digital teaching, assignments, and communication with students.
- [Dictionary api](https://composio.dev/toolkits/dictionary_api) - Dictionary api is the Merriam-Webster API providing rich dictionary and thesaurus data for developers. Instantly access definitions, synonyms, etymologies, and audio pronunciations in your apps.
- [Google Classroom](https://composio.dev/toolkits/google_classroom) - Google Classroom is a free web service for educators and students to manage assignments and communication. It streamlines classroom collaboration and grading, making teaching simpler and more connected.
- [Lessonspace](https://composio.dev/toolkits/lessonspace) - Lessonspace is an online collaborative classroom platform offering video, whiteboards, and real-time interaction for educators and students. It streamlines remote teaching with integrated tools for engagement and communication.
- [Linguapop](https://composio.dev/toolkits/linguapop) - Linguapop is a web platform for administering language placement tests in English, German, Spanish, Italian, and French. It helps schools and organizations efficiently manage multilingual assessments and analyze results.
- [Memberspot](https://composio.dev/toolkits/memberspot) - Memberspot is an online course and video-hosting platform for business learning. It helps teams manage, deliver, and track knowledge efficiently.
- [Membervault](https://composio.dev/toolkits/membervault) - Membervault is a platform for hosting courses, memberships, and digital products in one place. It helps you build stronger relationships with your audience by centralizing digital offers and customer engagement.
- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.
- [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options.
- [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.
- [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management.
- [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide.
- [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.
- [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure.

## Frequently Asked Questions

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

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

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

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

---
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