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How to integrate Perplexityai MCP with Autogen

Connect Autogen to Perplexityai MCP. Summarize the latest ai research papers, generate a creative story about space travel, and more using natural language, with authentication handled for you.

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Perplexityai

Api Key

Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows.

28 Tools

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Introduction

This guide walks you through connecting Perplexityai to AutoGen using the Composio tool router. By the end, you'll have a working Perplexityai agent that can run chat completions, search the web, create embeddings, execute agents, and check your usage analytics through natural language commands.

This guide will help you understand how to give your AutoGen agent real control over a Perplexityai account through Composio's Perplexityai 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 required dependencies for Autogen and Composio
Initialize Composio and create a Tool Router session for Perplexityai
Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
Configure an Autogen AssistantAgent that can call Perplexityai tools
Run a live chat loop where you ask the agent to perform Perplexityai 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 Perplexityai MCP server, and what's possible with it?

The Perplexity AI MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Perplexity AI account. It provides structured and secure access to Perplexity AI's conversational models, web search, embeddings, and agent execution, so your agent can search the web, generate responses, run Perplexity agents, create embeddings, and manage asynchronous chat requests on your behalf.

Web search: Have your agent search the web and return relevant results for research, fact-finding, or current topics.
Conversational responses: Let the agent use Perplexity Sonar models to answer questions, explain topics, and generate human-like text.
Asynchronous chat tasks: Direct your agent to start longer chat requests, check their progress, and review previously submitted requests.
Perplexity agent execution: Instruct your agent to run a Perplexity agent for tasks that need an agent-generated response.
Text embeddings and model discovery: Have your agent create standard or contextualized embeddings for text and view the Perplexity models available to your account.

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

What is Composio SDK?

Composio's Composio SDK 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 Composio SDK

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

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

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

Step-by-step Guide

Step by step08 STEPS

Prerequisites

You will need:

A Composio API key
An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
A Perplexityai account you can connect to Composio
Some basic familiarity with Autogen and Python async

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

Log in to the Composio dashboard.
Navigate to your API settings and generate a new API key.
Store this key securely as you'll need it for authentication.

Install dependencies

bash

pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

composio connects your agent to Perplexityai via MCP
autogen-agentchat provides the AssistantAgent class
autogen-ext-openai provides the OpenAI model client
autogen-ext-tools provides MCP workbench support

Set up environment variables

bash

COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

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 Perplexityai connections to use

Import dependencies and create Tool Router session

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 Perplexityai session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["perplexityai"]
    )
    url = session.mcp.url

What's happening:

load_dotenv() reads your .env file
Composio(api_key=...) initializes the SDK
create(...) creates a Tool Router session that exposes Perplexityai tools
session.mcp.url is the MCP endpoint that Autogen will connect to

Configure MCP parameters for Autogen

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")}
)

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

Create the model client and agent

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 Perplexityai assistant agent with MCP tools
    agent = AssistantAgent(
        name="perplexityai_assistant",
        description="An AI assistant that helps with Perplexityai operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

OpenAIChatCompletionClient wraps the OpenAI model for Autogen
McpWorkbench connects the agent to the MCP tools
AssistantAgent is configured with the Perplexityai tools from the workbench

Run the interactive chat loop

python

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Perplexityai 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")

What's happening:

The script prompts you in a loop with You:
Autogen passes your input to the model, which decides which Perplexityai 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

Complete Code

Here's the complete code to get you started with Perplexityai and AutoGen:

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 Perplexityai session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["perplexityai"]
    )
    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 Perplexityai assistant agent with MCP tools
        agent = AssistantAgent(
            name="perplexityai_assistant",
            description="An AI assistant that helps with Perplexityai 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 Perplexityai 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 Perplexityai 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 Perplexityai, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

TOOLS

Supported Tools

Every Perplexityai action and event your agent gets out of the box.

Cancel Agent Response

Request cancellation of an existing durable agent response.

Create Async Chat Completion

Create Async Chat Completion (POST /v1/async/sonar).

Create Chat Completion

Generate a chat-compatible response from conversation messages, with optional search controls.

Create Contextualized Embeddings

Create Contextualized Embeddings (POST /v1/contextualizedembeddings).

CreateEmbeddings

Generate vector embeddings for independent texts (queries, sentences, documents).

Create Orchestrator Chat Completion

Create a non-streaming OpenAI-compatible chat completion using a cataloged Orchestrator model.

Create Orchestrator Message

Create a non-streaming Anthropic-compatible message using an Orchestrator catalog model.

CreateOrchestratorResponse

Generate a non-streaming model response through the Perplexity Orchestrator using a creator/model-name catalog ID, input text or structured items, optional tools, and structured output settings.

Create Skill

Create a Project-owned skill from a ZIP bundle containing SKILL.

Delete Skill

Delete a skill only if its current revision matches expected_revision.

Download Agent Response File

Download a file delivered by an Agent response's share_file tool.

Evaluate Decisions

Evaluate named yes/no, choice, and score questions against shared content.

Execute Agent

Create Agent Response (POST /v1/agent).

Get Agent Response

Retrieve a stored Agent response as a JSON snapshot (GET /v1/agent/{id}).

Get Async Chat Completion

Get Async Chat Completion (GET /v1/async/sonar/{id}).

Get Member Usage Analytics

Get organization Perplexity usage per member in daily UTC buckets.

Get Orchestrator Model

Retrieve one Orchestrator model by its full provider/model id.

Get Skill

Get a skill's metadata by identifier, optionally at a specific revision.

Get Skill Download URL

Get a short-lived URL to download a skill bundle as a ZIP, optionally for a specific revision; omit the revision to select the active revision.

Get Usage Analytics

Get an organization's Perplexity Computer usage as a bucketed time series.

List Agent Response Files

List files an agent response delivered from its sandbox using share_file.

List Async Chat Completions

List a page of legacy asynchronous Sonar chat completion requests for the authenticated user, including their statuses.

List Models

List Models (GET /v1/models).

List Orchestrator Models

List available Orchestrator API models sorted by id, with base token prices.

List Skill Revisions

List a skill's revisions, newest first.

List Skills

List skills in the authenticated Project, newest first.

Perplexity Search (Raw Results)

Search the Web (POST /search).

Update Skill

Upload a new ZIP bundle as a revision of an existing Project-owned skill.

FRAMEWORKS

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Grok Bot

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Muse

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Codex

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Kimi Code

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Grok Build

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VS Code

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OpenCode

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CLI

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Pydantic AI

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MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Composio

No Auth

Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.

Composio search

No Auth

Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service.

Ai ml api

Api Key

Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows.

Aivoov

Api Key

Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application.

FAQ

Frequently asked questions

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

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 Perplexityai tools.

Yes, absolutely. You can configure which Perplexityai 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.

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 Perplexityai data and credentials are handled as safely as possible.

Start with Perplexityai.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Perplexityai tool your agent needs.Free to start.

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How to integrate Perplexityai MCP with Autogen

Connect Perplexityai without auth hassles

Introduction

Also integrate Perplexityai with

TL;DR

What is AutoGen?

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

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies and create Tool Router session

Configure MCP parameters for Autogen

Create the model client and agent

Run the interactive chat loop

Complete Code

Conclusion

Supported Tools

How to build Perplexityai MCP Agent with another framework

Claude Code

Cursor

ChatGPT

Claude Cowork

Antigravity

OpenAI Agents SDK

Claude Agent SDK

Grok Bot

Muse

Codex

Kimi Code

Grok Build

VS Code

OpenCode

OpenClaw

Hermes

Atomic Agent

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Pydantic AI

Explore Other Toolkits

Composio

Composio search

Ai ml api

Aivoov

Frequently asked questions

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

Can I use Tool Router MCP with Autogen?

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

How safe is my data with Composio Tool Router?

Start with Perplexityai.It takes 30 seconds.