# How to integrate Cincopa MCP with CrewAI

```json
{
  "title": "How to integrate Cincopa MCP with CrewAI",
  "toolkit": "Cincopa",
  "toolkit_slug": "cincopa",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/cincopa/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/cincopa/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:06:12.784Z"
}
```

## Introduction

This guide walks you through connecting Cincopa to CrewAI using the Composio tool router. By the end, you'll have a working Cincopa agent that can upload this video from a dropbox link, check status of your latest image upload, abort the ongoing upload for this audio file through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Cincopa account through Composio's Cincopa MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Cincopa with

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

## TL;DR

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

The Cincopa MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Cincopa account. It provides structured and secure access to your multimedia libraries, so your agent can perform actions like uploading new media, monitoring upload progress, validating connections, and managing ongoing uploads on your behalf.
- Remote media uploading: Effortlessly instruct your agent to upload new videos, images, or audio directly from external URLs into your Cincopa galleries or asset collections.
- Upload status tracking: Have your agent check and report the real-time status of ongoing or recently initiated media uploads for better workflow oversight.
- Abort in-progress uploads: Direct your agent to cancel unnecessary or stalled asset uploads to keep your media workspace organized and efficient.
- API connection validation: Let your agent verify and confirm your API credentials and connectivity with Cincopa, ensuring secure and reliable integration at all times.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CINCOPA_ASSET_UPLOAD_FROM_URL` | Upload Asset From URL | Tool to upload a new asset directly from a provided external URL and receive a status ID for tracking. Use when you need to import media from a remote source and optionally specify a gallery or existing asset. |
| `CINCOPA_ASSET_UPLOAD_FROM_URL_ABORT` | Abort Asset Upload From URL | Tool to abort an ongoing asset upload-in-progress by providing its status ID. Use when an upload is no longer needed, was initiated by mistake, or is taking too long. |
| `CINCOPA_ASSET_UPLOAD_FROM_URL_GET_STATUS` | Get Asset Upload From URL Status | Tool to check the status of an asset upload initiated via URL by its status ID. Use after calling 'Upload Asset From URL' to poll for completion. |
| `CINCOPA_GET_UPLOAD_IFRAME` | Get Upload Iframe | Tool to get an upload iframe URL for embedding an upload widget. Use when you need to generate an HTML iframe for uploading media to a Cincopa gallery. |
| `CINCOPA_PING` | Validate API Connection | Tool to validate API connection. Use after obtaining a valid api_token to confirm connectivity. |

## Supported Triggers

None listed.

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

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

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

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

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

## Related Toolkits

- [Youtube](https://composio.dev/toolkits/youtube) - YouTube is a leading video-sharing platform for uploading, streaming, and discovering content. It empowers creators and businesses to reach global audiences and monetize their work.
- [Amara](https://composio.dev/toolkits/amara) - Amara is a collaborative platform for creating and managing subtitles and captions for videos. It helps make content accessible and multilingual for global audiences.
- [Cats](https://composio.dev/toolkits/cats) - Cats is an API with a huge library of cat images, breed data, and cat facts. It makes finding adorable cat photos and trivia effortless for your apps and users.
- [Chatfai](https://composio.dev/toolkits/chatfai) - Chatfai is an AI platform that lets users talk to AI versions of fictional characters from books, movies, and games. It offers an engaging, interactive experience for fans to chat, roleplay, and explore creative dialogues.
- [Dungeon fighter online](https://composio.dev/toolkits/dungeon_fighter_online) - Dungeon Fighter Online (DFO) is an arcade-style, side-scrolling action RPG packed with dynamic combat and progression. Play solo or with friends to battle monsters, complete quests, and upgrade your characters.
- [Elevenlabs](https://composio.dev/toolkits/elevenlabs) - Elevenlabs is an advanced AI voice generation platform for lifelike, multilingual speech synthesis. Perfect for creating natural voices for videos, apps, and business content in seconds.
- [Elevenreader](https://composio.dev/toolkits/elevenreader) - Elevenreader is an AI-powered text-to-speech service by ElevenLabs that converts written content into lifelike audio. It enables fast, natural audio generation from any text.
- [Epic games](https://composio.dev/toolkits/epic_games) - Epic Games is a leading video game publisher and digital storefront, known for Fortnite and Unreal Engine. It lets gamers access, manage, and purchase games all in one place.
- [Fal.ai](https://composio.dev/toolkits/fal_ai) - Fal.ai is a generative media platform offering 600+ AI models for images, video, voice, and audio. Developers use Fal.ai for fast, scalable access to cutting-edge generative AI tools.
- [Giphy](https://composio.dev/toolkits/giphy) - Giphy is the largest online library for searching and sharing GIFs and stickers. Instantly add vibrant animated content to your apps, chats, and workflows.
- [Headout](https://composio.dev/toolkits/headout) - Headout is a global platform for booking travel experiences, tours, and entertainment. It helps users discover and secure activities at top destinations, all in one place.
- [Imagekit io](https://composio.dev/toolkits/imagekit_io) - ImageKit.io is a cloud-based media management platform for image and video delivery. Instantly optimize, transform, and deliver visuals globally via a lightning-fast CDN.
- [Listennotes](https://composio.dev/toolkits/listennotes) - Listennotes is a powerful podcast search engine with a massive global database. Discover, search, and curate podcasts from around the world in seconds.
- [News api](https://composio.dev/toolkits/news_api) - News api is a REST API for searching and retrieving live news articles from across the web. Instantly access headlines, coverage, and breaking stories from thousands of sources.
- [RAWG Video Games Database](https://composio.dev/toolkits/rawg_video_games_database) - RAWG Video Games Database is the largest video game discovery and info service. Instantly access comprehensive details, ratings, and release dates for thousands of games.
- [Seat geek](https://composio.dev/toolkits/seat_geek) - SeatGeek is a live event platform offering APIs for concerts, sports, and theater data. Instantly access events, venues, and performers info for smarter ticketing and discovery.
- [Shotstack](https://composio.dev/toolkits/shotstack) - Shotstack is a cloud platform for programmatically generating videos, images, and audio. Automate creative content production at scale with flexible RESTful APIs.
- [Spotify](https://composio.dev/toolkits/spotify) - Spotify is a streaming service for music and podcasts with millions of tracks from artists worldwide. Enjoy personalized playlists, recommendations, and seamless listening across all your devices.
- [Ticketmaster](https://composio.dev/toolkits/ticketmaster) - Ticketmaster is a global platform for event discovery, ticket sales, and live entertainment management. Get real-time access to events and streamline ticketing for fans and organizers.
- [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.

## Frequently Asked Questions

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

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

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

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

---
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