# How to integrate Acculynx MCP with Autogen

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

## Introduction

This guide walks you through connecting Acculynx to AutoGen 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 AutoGen 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)
- [CrewAI](https://composio.dev/toolkits/acculynx/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the required dependencies for Autogen and Composio
- Initialize Composio and create a Tool Router session for Acculynx
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Acculynx tools
- Run a live chat loop where you ask the agent to perform Acculynx operations

## What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.
Key features include:
- Multi-Agent Systems: Build collaborative agent workflows
- MCP Workbench: Native support for Model Context Protocol tools
- Streaming HTTP: Connect to external services through streamable HTTP
- AssistantAgent: Pre-built agent class for tool-using assistants

## 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 agents and assistants directly to Acculynx. Instead of manually wiring Acculynx APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
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

You will need:
- A Composio API key
- An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
- A Acculynx account you can connect to Composio
- Some basic familiarity with Autogen and Python async

### 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

Install Composio, Autogen extensions, and dotenv.
What's happening:
- composio connects your agent to Acculynx via MCP
- autogen-agentchat provides the AssistantAgent class
- autogen-ext-openai provides the OpenAI model client
- autogen-ext-tools provides MCP workbench support
```bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools
```

### 3. Set up environment variables

Create a .env file in your project folder.
What's happening:
- COMPOSIO_API_KEY is required to talk to Composio
- OPENAI_API_KEY is used by Autogen's OpenAI client
- USER_ID is how Composio identifies which user's Acculynx connections to use
```bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com
```

### 4. Import dependencies and create Tool Router session

What's happening:
- load_dotenv() reads your .env file
- Composio(api_key=...) initializes the SDK
- create(...) creates a Tool Router session that exposes Acculynx tools
- session.mcp.url is the MCP endpoint that Autogen will connect to
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Acculynx session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["acculynx"]
    )
    url = session.mcp.url
```

### 5. Configure MCP parameters for Autogen

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.
What's happening:
- url points to the Tool Router MCP endpoint from Composio
- timeout is the HTTP timeout for requests
- sse_read_timeout controls how long to wait when streaming responses
- terminate_on_close=True cleans up the MCP server process when the workbench is closed
```python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)
```

### 6. Create the model client and agent

What's happening:
- OpenAIChatCompletionClient wraps the OpenAI model for Autogen
- McpWorkbench connects the agent to the MCP tools
- AssistantAgent is configured with the Acculynx tools from the workbench
```python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Acculynx assistant agent with MCP tools
    agent = AssistantAgent(
        name="acculynx_assistant",
        description="An AI assistant that helps with Acculynx operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )
```

### 7. Run the interactive chat loop

What's happening:
- The script prompts you in a loop with You:
- Autogen passes your input to the model, which decides which Acculynx tools to call via MCP
- agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
- Typing exit, quit, or bye ends the loop
```python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Acculynx related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Acculynx session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["acculynx"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Acculynx assistant agent with MCP tools
        agent = AssistantAgent(
            name="acculynx_assistant",
            description="An AI assistant that helps with Acculynx operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Acculynx related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

## Conclusion

You now have an Autogen assistant wired into Acculynx through Composio's Tool Router and MCP. From here you can:
- Add more toolkits to the toolkits list, for example notion or hubspot
- Refine the agent description to point it at specific workflows
- Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Acculynx, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## 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)
- [CrewAI](https://composio.dev/toolkits/acculynx/framework/crew-ai)

## 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 Autogen?

Yes, you can. Autogen 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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