How to integrate Openperplex MCP with OpenAI Agents SDK

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Introduction

This guide walks you through connecting Openperplex to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Openperplex agent that can find recent news articles about ai regulation, extract main text from a specific blog post, get markdown version of a wikipedia page, take a screenshot of the openai homepage through natural language commands.

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

The Openperplex MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Openperplex account. It provides structured and secure access to powerful web search, real-time content streaming, and website analysis tools, so your agent can perform actions like global searches, web content extraction, document interrogation, and live website analysis on your behalf.

  • Powerful global search and filtering: Instantly ask your agent to search across the web or custom document sets with advanced query options, filters, and field selection for tailored results.
  • Live streaming search results: Enable your agent to provide real-time updates on search queries, perfect for monitoring changing information or tracking trends as they unfold.
  • Website content extraction: Have your agent pull main text, full markdown, or screenshots from any publicly accessible website, making it easy to analyze, summarize, or archive web content.
  • Natural language querying of online documents: Let your agent interrogate web-hosted content directly using natural language, giving you precise answers and insights from any URL.
  • Custom document search and analysis: Empower your agent to search specific document collections, apply filters, and surface relevant content for research, competitive analysis, or data gathering tasks.

Supported Tools & Triggers

Tools
Custom SearchTool to perform a custom search with optional filtering and field selection.
Custom Search StreamTool to perform custom streaming search.
Get Website MarkdownTool to retrieve the markdown content of a specified website.
Get Website ScreenshotTool to capture a screenshot of a website.
Get Website TextTool to retrieve the main text content of a specified website url.
Query from URLTool to query documents from a url.
Search DocumentsTool to search documents using query parameters.
Search StreamTool to stream search results from openperplex.

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 Openperplex 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 Openperplex.

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 Openperplex Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["openperplex"]
)

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

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 Openperplex MCP Agent with another framework

Claude Agent SDK

Claude Agent SDK

Use Openperplex MCP with Claude Agent SDK

Google ADK

Google ADK

Use Openperplex MCP with Google ADK

LangChain

LangChain

Use Openperplex MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Openperplex MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Openperplex MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Openperplex MCP with LlamaIndex

CrewAI

CrewAI

Use Openperplex MCP with CrewAI

FAQ

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

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

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

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

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