How to integrate Amara MCP with CrewAI

This guide walks you through connecting Amara to CrewAI using the Composio tool router. By the end, you'll have a working Amara agent that can list all subtitle languages for video id, fetch english subtitles for given video, create new spanish subtitle track for video through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Amara account through Composio's Amara MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Amara is a collaborative platform for creating and managing subtitles and captions for videos. It helps make content accessible and multilingual for global audiences.

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Introduction

This guide walks you through connecting Amara to CrewAI using the Composio tool router. By the end, you'll have a working Amara agent that can list all subtitle languages for video id, fetch english subtitles for given video, create new spanish subtitle track for video through natural language commands.

This guide will help you understand how to give your CrewAI agent real control over a Amara account through Composio's Amara MCP server.

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

Also integrate Amara with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndex

TL;DR

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

The Amara MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Amara account. It provides structured and secure access to your subtitle and caption management tools, so your agent can perform actions like creating subtitles, managing languages, fetching video metadata, and handling teams on your behalf.

  • Subtitle creation and editing: Direct your agent to add notes, create new subtitle languages, and fetch subtitle data for any supported video.
  • Language management: Effortlessly list all available subtitle languages for a given video, retrieve supported language options, or fetch details about specific language tracks.
  • Video metadata retrieval: Ask your agent to get detailed information about any video URL, including its Amara ID, title, duration, and thumbnails.
  • Team and user management: Let your agent list all accessible teams, pull details for a specific team, or fetch user data by username or ID for streamlined collaboration.

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

Step by step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Amara connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
2

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.
3

Install dependencies

bash
pip install composio crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Amara via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

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
5

Import dependencies

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")
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 Amara MCP URL
6

Create a Composio Tool Router session for Amara

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["amara"])

url = session.mcp.url
What's happening:
  • You create a Amara only session through Composio
  • Composio returns an MCP HTTP URL that exposes Amara tools
7

Initialize the MCP Server

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,
    )
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.
8

Create a CLI Chatloop and define the Crew

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")
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.

Complete Code

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

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=["amara"],
)
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 Amara through Composio's Tool Router. The agent can perform Amara 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
TOOLS

Supported Tools

Every Amara action and event your agent gets out of the box.

Add Subtitle Note

Adds a note/comment to a specific subtitle language for a video.

Add Video URL

Tool to add a new URL to a video, allowing association with multiple video providers (YouTube, Vimeo, etc.

Create Subtitle Language

Creates a new subtitle language track for an Amara video.

Create Subtitles

Tool to create new subtitles for a video in a specific language.

Create Video

Tool to add a new video to Amara.

Delete Video URL

Tool to remove a video URL from a video.

Fetch Subtitles Data

Fetch subtitle data for a video in a specific language.

Get Activity

Tool to retrieve detailed information about a specific activity by its ID.

Get Subtitle Language Details

Tool to retrieve details for a single subtitle language.

Get Team Details

Tool to get details on a specific team by slug.

Get Team Languages

Tool to get language preferences for a specific team by slug.

Get User Activity

Tool to retrieve activity log for a specific user on Amara.

Get User Data

Retrieves detailed user profile information from Amara, including username, avatar, biography, languages spoken, and video counts.

Get Video URL

Tool to get details for a specific video URL.

Get Video URL Details

Tool to get details for a specific video URL.

List Activity

Tool to list activity across Amara.

List Available Languages

Tool to get a list of all supported languages.

List Subtitle Actions

Tool to list available actions for subtitles based on current workflow state.

List Subtitle Languages

Tool to list all subtitle languages for a video.

List Subtitle Notes

List notes for subtitles in a specific language.

List Teams

Tool to list all teams.

List Video Activity

Tool to list activity for a specific video.

List Videos

Tool to list all videos.

List Video URLs

Tool to list all URLs associated with a video.

Make Video URL Primary

Tool to set a video URL as the primary URL.

Perform Subtitle Action

Tool to perform an action on subtitles such as publish, unpublish, approve, reject, send-back, or endorse.

Send Message

Sends a message to a user or team member in Amara.

Update Subtitle Language

Tool to update a subtitle language for a video.

Update Video

Tool to update an existing video's metadata including title, description, team, and project assignment.

View Video Details

Tool to view details of a specific video by ID.

FRAMEWORKS

How to build Amara MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Amara MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Amara MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Amara MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Amara MCP with Claude Cowork

Codex logo

Codex

Use Amara MCP with Codex

OpenClaw logo

OpenClaw

Use Amara MCP with OpenClaw

Hermes logo

Hermes

Use Amara MCP with Hermes

CLI logo

CLI

Use Amara MCP with CLI

Google ADK logo

Google ADK

Use Amara MCP with Google ADK

LangChain logo

LangChain

Use Amara MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Amara MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Amara MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Amara MCP with LlamaIndex

FAQ

Frequently asked questions

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

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 Amara tools.

Yes, absolutely. You can configure which Amara 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.

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 Amara data and credentials are handled as safely as possible.

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