# How to integrate Leexi MCP with CrewAI

```json
{
  "title": "How to integrate Leexi MCP with CrewAI",
  "toolkit": "Leexi",
  "toolkit_slug": "leexi",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/leexi/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/leexi/framework/crew-ai.md",
  "updated_at": "2026-03-29T06:40:13.391Z"
}
```

## Introduction

This guide walks you through connecting Leexi to CrewAI using the Composio tool router. By the end, you'll have a working Leexi agent that can transcribe and summarize today's team meeting, list action items from last week's calls, find meetings where deadlines were discussed through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Leexi account through Composio's Leexi MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Leexi with

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

## TL;DR

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

The Leexi MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Leexi account. It provides structured and secure access so your agent can perform Leexi operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `LEEXI_CREATE_MEETING_EVENT` | Create Meeting Event | Tool to create a new meeting event in Leexi with timing, participants, and recording preferences. Use when scheduling a meeting that needs to be tracked and potentially recorded in the Leexi system. |
| `LEEXI_DELETE_MEETING_EVENT` | Delete Meeting Event | Tool to delete a specific meeting event by UUID. Use when you need to permanently remove a meeting event record from the Leexi system. This is a destructive operation that cannot be undone. |
| `LEEXI_GET_CALL` | Get Call | Tool to get details of a specific call or meeting by UUID from Leexi. Use when you need to retrieve call details including topics and transcripts. The simple_transcript provides paragraph-level timestamps, while the transcript includes word-level timestamps. |
| `LEEXI_GET_MEETING_EVENT` | Get Meeting Event | Tool to retrieve a specific meeting event by UUID from Leexi. Use when you need to fetch details of a particular meeting event including timing, participants, and recording preferences. |
| `LEEXI_LIST_CALLS` | List Calls | Tool to list all calls and meetings in your Leexi workspace with pagination support. Use when you need to retrieve call records. Note: AI-generated content like summaries and chapters may not be immediately available for newly created calls. |
| `LEEXI_LIST_MEETING_EVENTS` | List Meeting Events | Tool to list all meeting events in your Leexi workspace with pagination support. Use when you need to retrieve meeting events from the workspace. |
| `LEEXI_LIST_TEAMS` | List Teams | Tool to list all teams in your Leexi workspace with pagination support. Use when you need to retrieve team information or iterate through all teams in the organization. |
| `LEEXI_LIST_USERS` | List Users | Tool to list all users in your Leexi workspace. Use when you need to retrieve information about workspace members. Supports pagination with configurable page size (1-100 items per page, default 10). |
| `LEEXI_REQUEST_PRESIGNED_URL` | Request Presigned URL | Tool to request a presigned URL for uploading a call recording before creating the call. Use when you need to upload a call recording file. After receiving the presigned URL, send a PUT request to the returned URL with the provided headers to upload the file (single-part upload). The uploaded file automatically expires after 3 days unless used to create a call. |

## Supported Triggers

None listed.

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

The Leexi MCP server is an implementation of the Model Context Protocol that connects your AI agent to Leexi. It provides structured and secure access so your agent can perform Leexi 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 Leexi 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 Leexi 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 Leexi 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 Leexi

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

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=["leexi"],
)
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 Leexi through Composio's Tool Router. The agent can perform Leexi 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 Leexi MCP Agent with another framework

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

## Related Toolkits

- [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.
- [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.
- [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.
- [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.
- [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.
- [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools 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.
- [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action.
- [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.
- [Microsoft teams](https://composio.dev/toolkits/microsoft_teams) - Microsoft Teams is a collaboration platform that combines chat, meetings, and file sharing within Microsoft 365. It keeps distributed teams connected and productive through seamless virtual communication.
- [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service.
- [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.
- [Slackbot](https://composio.dev/toolkits/slackbot) - Slackbot is a conversational automation tool for Slack that handles reminders, notifications, and automated responses. It boosts team productivity by streamlining onboarding, answering FAQs, and managing timely alerts—all right inside Slack.
- [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.
- [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows.
- [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow.
- [2chat](https://composio.dev/toolkits/_2chat) - 2chat is an API platform for WhatsApp and multichannel text messaging. It streamlines chat automation, group management, and real-time messaging for developers.

## Frequently Asked Questions

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

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

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

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

---
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