# How to integrate Acculynx MCP with CrewAI

```json
{
  "title": "How to integrate Acculynx MCP with CrewAI",
  "toolkit": "Acculynx",
  "toolkit_slug": "acculynx",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/acculynx/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/acculynx/framework/crew-ai.md",
  "updated_at": "2026-05-06T07:59:10.340Z"
}
```

## Introduction

This guide walks you through connecting Acculynx to CrewAI using the Composio tool router. By the end, you'll have a working Acculynx agent that can add new roofing lead from web form, schedule site visit for job tomorrow, list all appointments for job 12345 through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Acculynx account through Composio's Acculynx MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Acculynx with

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

## TL;DR

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

The Acculynx MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Acculynx account. It provides structured and secure access to your construction project data, so your agent can create jobs, manage contacts, schedule appointments, and organize calendars on your behalf.
- Automated job creation and management: Instantly create new jobs in your Acculynx system, specifying contacts, addresses, categories, and more to streamline project setup.
- Contact and lead management: Add new contacts or leads with detailed information, helping you keep your pipeline up to date and organized without manual data entry.
- Appointment scheduling and tracking: Schedule initial job appointments or retrieve summaries of all job-related events, making it easy to keep teams and clients in sync.
- Company representative assignment: Assign representatives to specific jobs to clarify project responsibilities and maintain accurate records of team involvement.
- Calendar and contact type retrieval: Fetch lists of company calendars or contact types, supporting smarter scheduling, filtering, and contact management across your organization.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ACCULYNX_ADD_JOB_APPOINTMENT` | Add job appointment | This endpoint allows users to schedule the initial appointment for a specific job in the acculynx system. it is used to set up the first meeting or site visit for a construction or roofing project. the endpoint requires the job id, start date and time, and end date and time for the appointment. this is crucial for initiating the project workflow and ensuring that all parties involved are aware of the scheduled time for the first interaction. the appointment details are set in the context of the company's timezone unless otherwise specified. use this endpoint when a new job has been created and the first appointment needs to be scheduled with the client or at the job site. |
| `ACCULYNX_CREATE_A_CONTACT` | Create a contact | Creates a new contact in the acculynx system with detailed information for use in roofing and construction project management. this endpoint allows for the addition of comprehensive contact details including personal information, company affiliation, communication preferences, and address information. it's particularly useful for adding new customers, leads, vendors, or any other type of contact relevant to construction projects. the endpoint provides flexibility in the amount of information that can be added, with only the contact type being required. use this when you need to add a new contact to your acculynx database or update your system with new lead information. note that while many fields are optional, providing as much information as possible will enhance the usefulness of the contact record for future project management and communication purposes. |
| `ACCULYNX_CREATE_A_JOB` | Create a job | Creates a new job in the acculynx system with the provided details. this endpoint allows you to initialize a job with essential information such as the associated contact, location, job category, work type, priority, and trade types. it's particularly useful for setting up new projects or tasks within the acculynx platform for the roofing and construction industries. the endpoint requires at minimum a contact id and location address, with several optional fields to further customize the job entry. use this when you need to programmatically create new jobs in acculynx, such as when integrating with other systems or automating job creation processes. |
| `ACCULYNX_CREATE_A_LEAD` | Create a lead | This endpoint creates a new lead in the acculynx system, specifically for residential roofing projects. it should be used when a new potential customer expresses interest in roofing services or when importing lead data from external sources. the endpoint captures essential contact information to initiate the lead management process. while it creates the lead, it does not assign priorities or sales representatives; these actions would need to be performed separately. the endpoint is designed for simplicity and quick lead entry, focusing on the most crucial identifying information. |
| `ACCULYNX_JOB_APPOINTMENT_SUMMARY` | Job appointment summary | Retrieves a list of appointments from the calendar associated with a specific job in acculynx. this endpoint is used to fetch scheduled events, such as site visits, inspections, or project milestones, for a particular roofing or construction job. it provides valuable information for project management and scheduling purposes. the endpoint should be used when you need to view or manage the timeline of events for a specific job. it will not provide general calendar information or appointments unrelated to the specified job id. the response likely includes details such as appointment dates, times, descriptions, and associated team members, though the exact structure is not specified in the given schema. |
| `ACCULYNX_LIST_OF_CALENDARS_FOR_THE_LOCATION` | List of calendars for the location | Retrieves a list of calendars associated with the authenticated user or organization in acculynx. this endpoint provides access to the calendar data, which is crucial for scheduling and organizing tasks in the roofing and construction project management context. it should be used when you need to obtain an overview of all available calendars or to gather calendar ids for use in other api operations. the endpoint returns basic information about each calendar, likely including identifiers, names, and possibly associated metadata. it does not modify any calendar data and is intended for read-only operations. keep in mind that the response may be paginated for large datasets, and additional parameters might be available for filtering or sorting the results, although they are not specified in the current schema. |
| `ACCULYNX_LIST_OF_CONTACT_TYPES_RELATED_TO_THE_COMPANY` | List of contact types related to the company | Retrieves a list of all available contact types in the acculynx system. this endpoint is used to fetch the predefined categories or classifications for contacts, such as residential, repair, property management, and other job categories. it's essential for organizing and filtering contact information within the acculynx platform. the endpoint should be used when setting up new contacts, updating existing ones, or when needing to populate dropdown menus or filter options in the user interface. it does not create, modify, or delete contact types; it only provides the current list of available options. the response will likely include unique identifiers and names for each contact type, allowing for easy integration with other parts of the acculynx api or external systems. |
| `ACCULYNX_UPDATE_COMPANY_REPRESENTATIVE` | Update company representative | This endpoint allows you to add a company representative to a specific job within the acculynx system. it is used when you need to associate a representative with a particular project or task. the endpoint requires the job's unique identifier and the representative's id to establish the connection. this operation is useful for assigning personnel to projects, tracking responsibilities, and maintaining accurate job records. it's important to note that this endpoint only adds the association and doesn't create new representative or job entries. |

## Supported Triggers

None listed.

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

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

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

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

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

## Related Toolkits

- [Hubspot](https://composio.dev/toolkits/hubspot) - HubSpot is an all-in-one marketing, sales, and customer service platform. It lets teams nurture leads, automate outreach, and track every customer interaction in one place.
- [Pipedrive](https://composio.dev/toolkits/pipedrive) - Pipedrive is a sales management platform offering pipeline visualization, lead tracking, and workflow automation. It helps sales teams keep deals moving forward efficiently and never miss a follow-up.
- [Salesforce](https://composio.dev/toolkits/salesforce) - Salesforce is a leading CRM platform that helps businesses manage sales, service, and marketing. It centralizes customer data, enabling teams to drive growth and build strong relationships.
- [Apollo](https://composio.dev/toolkits/apollo) - Apollo is a CRM and lead generation platform that helps businesses discover contacts and manage sales pipelines. Use it to streamline customer outreach and track your deals from one place.
- [Attio](https://composio.dev/toolkits/attio) - Attio is a customizable CRM and workspace for managing your team's relationships and workflows. It helps teams organize contacts, automate tasks, and collaborate more efficiently.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Affinity](https://composio.dev/toolkits/affinity) - Affinity is a relationship intelligence CRM that helps private capital investors find, manage, and close more deals. It streamlines deal flow and surfaces key connections to help you win opportunities.
- [Agencyzoom](https://composio.dev/toolkits/agencyzoom) - AgencyZoom is a sales and performance platform built for P&C insurance agencies. It helps agents boost sales, retain clients, and analyze producer results in one place.
- [Bettercontact](https://composio.dev/toolkits/bettercontact) - Bettercontact is a smart contact enrichment tool for finding emails and phone numbers. It helps boost lead generation with automated, waterfall search across multiple sources.
- [Blackbaud](https://composio.dev/toolkits/blackbaud) - Blackbaud provides cloud-based software for nonprofits, schools, and healthcare institutions. It streamlines fundraising, donor management, and mission-driven operations.
- [Brilliant directories](https://composio.dev/toolkits/brilliant_directories) - Brilliant Directories is an all-in-one platform for building and managing online membership communities and business directories. It streamlines listings, member management, and engagement tools into a single, easy interface.
- [Capsule crm](https://composio.dev/toolkits/capsule_crm) - Capsule CRM is a user-friendly CRM platform for managing contacts and sales pipelines. It helps businesses organize relationships and streamline their sales process efficiently.
- [Centralstationcrm](https://composio.dev/toolkits/centralstationcrm) - CentralStationCRM is an easy-to-use CRM software focused on collaboration and long-term customer relationships. It helps teams manage contacts, deals, and communications all in one place.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Close](https://composio.dev/toolkits/close) - Close is a CRM platform built for sales teams, combining calling, email automation, and predictive dialers. It streamlines sales workflows and boosts productivity with all-in-one communication tools.
- [Dropcontact](https://composio.dev/toolkits/dropcontact) - Dropcontact is a B2B email finder and data enrichment service for professionals. It delivers verified email addresses and enriches contact info with up-to-date data.
- [Dynamics365](https://composio.dev/toolkits/dynamics365) - Dynamics 365 is Microsoft's platform combining CRM, ERP, and productivity apps. It streamlines sales, marketing, service, and operations in one place.
- [Espocrm](https://composio.dev/toolkits/espocrm) - EspoCRM is an open-source web application for managing customer relationships. It helps businesses organize contacts, track leads, and streamline their sales process.
- [Fireberry](https://composio.dev/toolkits/fireberry) - Fireberry is a CRM platform that streamlines customer and sales management. It helps businesses organize contacts, automate sales, and integrate with other business tools.
- [Firmao](https://composio.dev/toolkits/firmao) - Firmao is a business information platform offering company, industry, and market data. Use it to quickly research firms and gain competitive market insights.

## Frequently Asked Questions

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

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

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

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

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