How to integrate Dynamics365 MCP with OpenAI Agents SDK

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Introduction

This guide walks you through connecting Dynamics365 to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Dynamics365 agent that can create a new sales lead for acme corp, list all open invoices for this quarter, add a support case for a specific customer, generate a new sales order for an existing account through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Dynamics365 account through Composio's Dynamics365 MCP server.

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

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Dynamics365
  • Configure an AI agent that can use Dynamics365 as a tool
  • Run a live chat session where you can ask the agent to perform Dynamics365 operations

What is open-ai-agents-sdk?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

What is the Dynamics365 MCP server, and what's possible with it?

The Dynamics365 MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Dynamics365 account. It provides structured and secure access to your CRM data, so your agent can perform actions like managing contacts, creating leads, tracking invoices, and automating sales workflows on your behalf.

  • Automated contact, account, and lead creation: Instantly add new contacts, accounts, or leads to your CRM, ensuring your pipeline stays up to date with zero manual data entry.
  • Sales opportunity and order management: Let your agent create and update opportunities or sales orders, helping your team stay organized and focused on closing deals.
  • Invoice and case tracking: Retrieve, create, or manage invoices and cases directly from Dynamics365, streamlining customer service and billing operations.
  • Real-time CRM record retrieval: Ask your agent to fetch specific leads, invoices, or cases by criteria, so you always have the most relevant customer data at your fingertips.
  • Seamless workflow automation: Combine multiple actions—like creating a lead, generating an invoice, and opening a case—into a single smooth workflow, all triggered by your agent.

Supported Tools & Triggers

Tools
Get all invoices actionGet all invoices action
Create AccountCreates a new account entity record in dynamics crm using the web api.
Create CaseCreates a new case (incident) entity record in dynamics crm using the web api.
Create ContactCreates a new contact entity record in dynamics crm using the web api.
Create InvoiceCreates a new invoice entity record in dynamics crm using the web api.
Create LeadCreates a new lead entity record in dynamics crm using the web api.
Create OpportunityCreates a new opportunity entity record in dynamics crm using the web api.
Create Sales OrderCreates a new sales order entity record in dynamics crm using the web api.
Dynamicscrm get a invoiceDynamicscrm get a invoice
Dynamicscrm get a leadDynamicscrm get a lead
Dynamicscrm get all leadsDynamicscrm get all leads
Update CaseUpdates an existing case (incident) entity record in dynamics crm using the web api.
Update InvoiceUpdates an existing invoice entity record in dynamics crm using the web api.
Update LeadUpdates an existing lead entity record in dynamics crm using the web api.
Update OpportunityUpdates an existing opportunity entity record in dynamics crm using the web api.
Update Sales OrderUpdates an existing sales order entity record in dynamics crm using the web api.

What is the Composio tool router, and how does it fit here?

What is Tool Router?

Composio's Tool Router helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Tool Router

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Tool Router works

The Tool Router follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Dynamics365 project
  • Some knowledge of Python or Typescript

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key

Install dependencies

pip install composio_openai_agents openai-agents python-dotenv

Install the Composio SDK and the OpenAI Agents SDK.

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

Import dependencies

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Dynamics365.

Set up the Composio instance

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
What's happening:
  • load_dotenv() loads your .env file so OPENAI_API_KEY and COMPOSIO_API_KEY are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.

Create a Tool Router session

# Create a Dynamics365 Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["dynamics365"]
)

mcp_url = session.mcp.url

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only dynamics365.
  • The router checks the user's Dynamics365 connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Dynamics365.
  • This approach keeps things lightweight and lets the agent request Dynamics365 tools only when needed during the conversation.

Configure the agent

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Dynamics365. "
        "Help users perform Dynamics365 operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Dynamics365 and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a HostedMCPTool that connects to the MCP server URL we created earlier.
  • The headers dict includes the Composio API key for secure authentication with the MCP server.
  • require_approval: 'never' means the agent can execute Dynamics365 operations without asking for permission each time, making interactions smoother.

Start chat loop and handle conversation

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
What's happening:
  • The program prints a session URL that you visit to authorize Dynamics365.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using Runner.run().
  • The responses are printed to the console, and conversations are saved locally using SQLite.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Dynamics365 and open-ai-agents-sdk:

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["dynamics365"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Dynamics365. "
        "Help users perform Dynamics365 operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())

Conclusion

This was a starter code for integrating Dynamics365 MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Dynamics365.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

How to build Dynamics365 MCP Agent with another framework

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CrewAI

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FAQ

What are the differences in Tool Router MCP and Dynamics365 MCP?

With a standalone Dynamics365 MCP server, the agents and LLMs can only access a fixed set of Dynamics365 tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Dynamics365 and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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 Dynamics365 tools.

Can I manage the permissions and scopes for Dynamics365 while using Tool Router?

Yes, absolutely. You can configure which Dynamics365 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 Dynamics365 data and credentials are handled as safely as possible.

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