How to integrate 21risk MCP with OpenAI Agents SDK

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Introduction

This guide walks you through connecting 21risk to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working 21risk agent that can download audit reports for last quarter, list all sites with open compliance issues, fetch monthly risk data for top properties, show organizations filtered by compliance rating through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a 21risk account through Composio's 21risk 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 21risk
  • Configure an AI agent that can use 21risk as a tool
  • Run a live chat session where you can ask the agent to perform 21risk 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 21risk MCP server, and what's possible with it?

The 21risk MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your 21risk account. It provides structured and secure access to your checklists, audits, compliance data, and risk models, so your agent can retrieve reports, analyze compliance status, and streamline audit management on your behalf.

  • Automated compliance insights and analytics: Instantly fetch compliance data for sites, categories, or specific questions to support analytics and reporting needs.
  • Audit report management: Retrieve draft, published, or scheduled audit reports, enabling your agent to monitor progress or summarize findings.
  • Risk model and category exploration: Let your agent list and filter available risk models and categories to assist with compliance checks and risk assessments.
  • Monthly item tracking and analysis: Query detailed fact tables of items per month for granular, time-based risk or compliance monitoring.
  • Site, organization, and property retrieval: Automatically list sites, organizations, and property details, helping you organize and cross-reference risk and compliance data efficiently.

Supported Tools & Triggers

Tools
Get ComplianceTool to retrieve compliance data for sites, categories, or questions.
Get Items (BETA)Tool to retrieve items (beta) from the 21risk odata api.
Get Items Per MonthTool to retrieve fact table data for itemspermonth, one row per question per site per month.
Get OrganizationsTool to retrieve organizations from the 21risk odata api.
Get PropertiesTool to fetch a list of properties related to sites, including cope information and other relevant data.
Get ReportsTool to retrieve audit reports, including draft, published, and scheduled reports.
Get RiskModel CategoriesTool to retrieve risk model categories for grouping questions and compliance checks.
Get Risk ModelsTool to retrieve risk models used for audits and compliance.
Get SitesTool to retrieve sites (locations) from the 21risk odata 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 21risk 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 21risk.

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  21risk Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["_21risk"]
)

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 _21risk.
  • The router checks the user's 21risk connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access 21risk.
  • This approach keeps things lightweight and lets the agent request 21risk 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  21risk. "
        "Help users perform  21risk 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 21risk 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 21risk 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 21risk.
  • 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 21risk 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=["_21risk"]
)
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  21risk. "
        "Help users perform  21risk 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 21risk MCP with OpenAI Agents SDK to build a functional AI agent that can interact with 21risk.

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 21risk MCP Agent with another framework

Claude Agent SDK

Claude Agent SDK

Use 21risk MCP with Claude Agent SDK

Google ADK

Google ADK

Use 21risk MCP with Google ADK

LangChain

LangChain

Use 21risk MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use 21risk MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use 21risk MCP with Mastra AI

LlamaIndex

LlamaIndex

Use 21risk MCP with LlamaIndex

CrewAI

CrewAI

Use 21risk MCP with CrewAI

FAQ

What are the differences in Tool Router MCP and 21risk MCP?

With a standalone 21risk MCP server, the agents and LLMs can only access a fixed set of 21risk tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from 21risk 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 21risk tools.

Can I manage the permissions and scopes for 21risk while using Tool Router?

Yes, absolutely. You can configure which 21risk 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 21risk data and credentials are handled as safely as possible.

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