# How to integrate Appcircle MCP with CrewAI

```json
{
  "title": "How to integrate Appcircle MCP with CrewAI",
  "toolkit": "Appcircle",
  "toolkit_slug": "appcircle",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/appcircle/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/appcircle/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:01:45.854Z"
}
```

## Introduction

This guide walks you through connecting Appcircle to CrewAI using the Composio tool router. By the end, you'll have a working Appcircle agent that can trigger a new ios app build pipeline, fetch latest build status for your project, list all available distribution profiles through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Appcircle account through Composio's Appcircle MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Appcircle with

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

## TL;DR

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

The Appcircle MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Appcircle account. It provides structured and secure access to your mobile CI/CD pipelines, so your agent can perform actions like triggering builds, monitoring workflows, managing artifacts, and automating mobile app deployments on your behalf.
- Automated mobile app builds: Let your agent trigger new builds for iOS and Android apps, manage build profiles, and handle build parameters seamlessly.
- Workflow monitoring and insights: Enable your agent to fetch real-time statuses, logs, and detailed reports from your Appcircle build and test workflows.
- Test execution and results retrieval: Instruct your agent to start automated test runs, collect results, and surface issues or test failures for rapid feedback.
- Artifact management and distribution: Have your agent access, download, or distribute app binaries, install links, and build artifacts to your team or testers.
- Deployment automation: Direct your agent to publish builds to app stores or internal distribution channels, streamlining release management for your mobile apps.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `APPCIRCLE_BUILD_REPO_WEBHOOK_CALLBACK_STANDARD` | Standard Repo Webhook Callback | Trigger Appcircle builds via Git provider webhook callbacks. This action forwards webhook payloads from GitHub, GitLab, Bitbucket, or Azure DevOps to Appcircle's build webhook endpoint to automatically trigger builds when code is pushed. Use this action when: - Simulating or testing webhook-triggered builds - Programmatically triggering builds using webhook payloads - Integrating custom CI/CD workflows that need to trigger Appcircle builds - Replaying or debugging webhook events Requirements: - The organization must exist and have webhook integration configured in Appcircle - Build profiles must be set up with repository connections - The webhook URL pattern is: https://api.appcircle.io/build/v1/callback/hooks/{provider}/{org_id}/V7 Note: The action returns the raw HTTP response including status code and response body, allowing you to handle success, validation errors, or authentication issues appropriately. |
| `APPCIRCLE_BUILD_WEBHOOK_CUSTOM_INTEGRATION` | Custom Integration Webhook Callback | Triggers Appcircle builds via custom integration webhook endpoint by forwarding Git provider webhook payloads. This action is designed to receive and forward webhook payloads from Git providers (GitHub, GitLab, Bitbucket, Azure DevOps) to Appcircle's build system. The webhook URL format and parameters (organization_id, integration_id, version) are provided by Appcircle when you configure custom integrations for repositories connected via SSH or public URL in the build profile settings. Use this action when: - You need to programmatically trigger Appcircle builds from Git provider webhook events - Testing webhook integrations with different payload structures - Implementing custom CI/CD workflows that forward webhook events to Appcircle Note: The organization_id and integration_id values must correspond to actual configurations in Appcircle. Test payloads will typically return 400/404 errors indicating no valid configuration exists for the provided IDs. |
| `APPCIRCLE_DISTRIBUTION_LIST_PROFILES` | List Distribution Profiles | List all distribution profiles for the authenticated organization. Distribution profiles are used to manage and distribute app builds to testers. This endpoint supports pagination, sorting, and filtering by profile name. Use this when you need to retrieve available distribution profiles. |
| `APPCIRCLE_GET_DISTRIBUTE_SENT_PROFILES` | Get Distribution Sent Profiles | Get distinct profile names for App Sharing Report filter. Returns a list of unique profile names that can be used to filter app sharing reports within the specified date range and organization. Use this to discover available profile names before querying detailed sharing reports. |
| `APPCIRCLE_GET_PUBLISH_ACTIVITY_REPORT` | Get Publish Activity Report | Retrieve the publish activity report for your organization. Returns paginated list of publish activities with filtering options by date range, platform, action type, and organization. Use this to monitor and audit publish operations across profiles. |
| `APPCIRCLE_LIST_BUILD_PROFILES` | List Build Profiles | List all build profiles for the authenticated organization. Build profiles define the configuration for building mobile applications. Use this to discover available build profiles and their IDs before triggering builds or configuring webhooks. |
| `APPCIRCLE_LIST_BUNDLE_IDENTIFIERS` | List Bundle Identifiers | List all bundle identifiers in Appcircle. Returns all bundle identifiers configured in your organization, including their platforms, capabilities, and associated credentials. Use this to discover available bundle identifiers before managing signing identities or app configurations. |
| `APPCIRCLE_LIST_ORGANIZATIONS` | List Organizations | List organizations accessible to the authenticated user. Returns a paginated list of organizations with their details including ID, name, logo URL, and SSO status. Supports search filtering and pagination controls. Use this to discover available organizations before performing organization-specific operations like managing builds, distributions, or webhooks. |
| `APPCIRCLE_LIST_STORE_PROFILES` | List Store Profiles | List all Enterprise App Store profiles for the authenticated organization. Enterprise App Store profiles are used to distribute apps internally. Use this to discover available store profiles and their IDs before listing app versions or managing store content. |
| `APPCIRCLE_RENAME_VARIABLE_GROUP` | Rename Variable Group | Tool to rename an environment group (variable group) in Appcircle. Use when you need to update the name of an existing variable group to better reflect its purpose or environment. |
| `APPCIRCLE_STORE_IN_APP_AUTH_TOKEN` | Obtain In-App Update Auth Token | Tool to fetch an access token for Enterprise App Store in-app updates. Use when you have the enterprise store profileId and secret and need to obtain a bearer token for subsequent update requests. |
| `APPCIRCLE_STORE_IN_APP_DOWNLOAD_VERSION_WITH_USER` | Download In-App Update Version with User | Tool to download a specific in-app store version and attribute the download to a user for reporting. Use when triggering an in-app update download after obtaining an access token. |
| `APPCIRCLE_STORE_INAPP_LIST_APP_VERSIONS` | List Enterprise App Store App Versions | Tool to list available app versions for the Enterprise App Store profile. Use when fetching available in-app update versions. |
| `APPCIRCLE_STORE_LIST_PROFILE_APP_VERSIONS_V2` | List Store Profile App Versions V2 | Tool to list app versions under a given store profile. Use when you need to fetch all versions for a specific Enterprise App Store profile after obtaining its ID. |

## Supported Triggers

None listed.

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

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

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

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

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

## Related Toolkits

- [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.
- [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms.
- [GitHub](https://composio.dev/toolkits/github) - GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place.
- [Ably](https://composio.dev/toolkits/ably) - Ably is a real-time messaging platform for live chat and data sync in modern apps. It offers global scale and rock-solid reliability for seamless, instant experiences.
- [Abuselpdb](https://composio.dev/toolkits/abuselpdb) - Abuselpdb is a central database for reporting and checking IPs linked to malicious online activity. Use it to quickly identify and report suspicious or abusive IP addresses.
- [Alchemy](https://composio.dev/toolkits/alchemy) - Alchemy is a blockchain development platform offering APIs and tools for Ethereum apps. It simplifies building and scaling Web3 projects with robust infrastructure.
- [Algolia](https://composio.dev/toolkits/algolia) - Algolia is a hosted search API that powers lightning-fast, relevant search experiences for web and mobile apps. It helps developers deliver instant, typo-tolerant, and scalable search without complex infrastructure.
- [Anchor browser](https://composio.dev/toolkits/anchor_browser) - Anchor browser is a developer platform for AI-powered web automation. It transforms complex browser actions into easy API endpoints for streamlined web interaction.
- [Apiflash](https://composio.dev/toolkits/apiflash) - Apiflash is a website screenshot API for programmatically capturing web pages. It delivers high-quality screenshots on demand for automation, monitoring, or reporting.
- [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache.
- [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. It accelerates development and iteration by combining hosting, database management, and low-code features in one place.
- [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines.
- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.
- [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows.
- [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights.
- [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews.
- [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease.
- [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data.
- [Bolt iot](https://composio.dev/toolkits/bolt_iot) - Bolt IoT is a platform for building and managing IoT projects with cloud-based device control and monitoring. It makes connecting sensors and actuators to the internet seamless for automation and data insights.

## Frequently Asked Questions

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

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

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

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

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
