How to integrate Klipfolio MCP with Autogen

This guide walks you through connecting Klipfolio to AutoGen using the Composio tool router. By the end, you'll have a working Klipfolio agent that can create a new dashboard for marketing kpis, list all available data sources in your account, append this week's sales csv to data source through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Klipfolio account through Composio's Klipfolio MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Klipfolio

Api Key

Klipfolio is a cloud-based business intelligence platform for creating real-time dashboards and reports. It helps teams monitor metrics, visualize trends, and share analytics effortlessly.

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Introduction

This guide will help you understand how to give your AutoGen agent real control over a Klipfolio account through Composio's Klipfolio MCP server.

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

Also integrate Klipfolio with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

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 Klipfolio
Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
Configure an Autogen AssistantAgent that can call Klipfolio tools
Run a live chat loop where you ask the agent to perform Klipfolio 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 Klipfolio MCP server, and what's possible with it?

The Klipfolio MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Klipfolio account. It provides structured and secure access to your dashboards and data sources, so your agent can perform actions like creating dashboards, updating data sources, retrieving analytics, and managing visualizations on your behalf.

Effortless dashboard creation and management: Ask your agent to create new dashboards (tabs), organize visualizations, or fetch detailed information about existing dashboards for instant business insights.
Comprehensive data source handling: Let your agent list, create, refresh, or delete data sources, ensuring your reports are always up to date and data flows smoothly.
Automated data updating: Instruct your agent to append fresh data to data sources or trigger refreshes across multiple sources simultaneously, keeping analytics current without manual effort.
Visualization and klip management: Retrieve a list of all your klips (visual components), enabling your agent to analyze, summarize, or reference the data visualizations you rely on most.
User profile and account verification: Have the agent check authentication or pull user profile details, helping you audit access and monitor account activity with ease.

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

TOOLS

Supported Tools

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

Assign User Role

Tool to assign a role to a user in Klipfolio.

Create Data Source

This tool creates a new data source in Klipfolio.

Create Data Source Instance

Tool to create a new data source instance based on an existing data source in Klipfolio.

Create Group

Tool to create a new group in Klipfolio.

Create Role

Tool to create a new role in Klipfolio with optional permissions.

Create Tab (Dashboard)

This tool creates a new tab (dashboard) in Klipfolio.

Create User

Tool to create a new user in Klipfolio with optional roles and client association.

Delete Data Source

This tool permanently removes a specified data source from the Klipfolio account.

Delete Data Source Instance Property

Tool to delete a property from a data source instance in Klipfolio.

Delete Data Source Property

Tool to delete a property from a data source in Klipfolio.

Delete Data Source Share Right

Tool to delete a data source share right for a specific user or group.

Delete Group

Tool to permanently delete a specified group from the Klipfolio account.

Delete Role

Tool to delete a role from Klipfolio.

Disable Data Source

Tool to disable a data source in Klipfolio.

Enable Data Source

Tool to enable a disabled data source in Klipfolio.

Get Dashboard Details

This tool retrieves detailed information about a specific dashboard (formerly known as tab) in Klipfolio.

Get Data Source Details

Tool to retrieve detailed information about a specific data source in Klipfolio.

Get Data Source Instance Details

Tool to retrieve detailed information about a specific data source instance in Klipfolio.

Get Data Source Instance Data

Tool to retrieve the actual data from a specific data source instance in Klipfolio.

Get Data Source Instance Properties

Tool to retrieve configuration properties for a specific data source instance in Klipfolio.

Get Data Source Properties

Tool to retrieve properties for a specific data source in Klipfolio by its ID.

Get Data Source Share Rights

Tool to retrieve sharing permissions for a specific data source in Klipfolio.

Get Group Details

Tool to retrieve detailed information about a specific group in Klipfolio.

Get Group Default Tabs

Tool to retrieve the list of default tabs (dashboards) for a specific group.

Get Group Users

Tool to retrieve all users belonging to a specific group in Klipfolio.

Get Klips

This tool retrieves a list of all Klips accessible to the authenticated user.

Get User Profile

This tool is used to retrieve the authenticated user's profile information and test the authentication status.

Get Role Details

Tool to retrieve detailed information about a specific role in Klipfolio.

Get Role Permissions

Tool to retrieve the list of permissions assigned to a specific role in Klipfolio.

Get Role Users

Tool to retrieve all users associated with a specific role in Klipfolio.

Get User Details

Tool to retrieve detailed information about a specific user in Klipfolio.

Get User Groups

Tool to retrieve all groups that a specific user belongs to in Klipfolio.

Get User Properties

Tool to retrieve custom properties associated with a specific user in Klipfolio.

Get User Roles

Tool to retrieve all roles assigned to a specific user in Klipfolio.

Get User Tab Instances

Tool to retrieve all tab instances associated with a specific user.

List Data Source Instances

Tool to retrieve all data source instances accessible to the authenticated user.

List All Data Sources

This tool retrieves a list of all data sources associated with an authenticated Klipfolio account.

List All Groups

Tool to retrieve all groups from a Klipfolio account.

List All Roles

Tool to retrieve all roles in the company.

List All Users

Tool to retrieve all users in the company.

Refresh Data Source Instance

Tool to manually refresh a data source instance in Klipfolio.

Refresh Multiple Data Sources

This tool allows users to refresh multiple data sources in Klipfolio simultaneously.

Resend User Invite

Tool to resend a user invitation email in Klipfolio.

Reset User Password

Tool to reset a user's password in Klipfolio.

Update Data Source

This tool allows you to replace/update the data in an existing Klipfolio data source.

Update Data Source Instance Properties

Tool to update custom properties on a Klipfolio data source instance.

Update Data Source Metadata

Tool to update metadata (name, description, refresh_interval) of an existing data source.

Update Data Source Properties

Tool to update custom properties for a data source in Klipfolio.

Update Data Source Share Rights

Tool to update data source share rights in Klipfolio.

Update User Properties

Tool to update custom properties for a user in Klipfolio.

FRAMEWORKS

How to build Klipfolio MCP Agent with another framework

OpenAI Agents SDK

Use Klipfolio MCP with OpenAI Agents SDK

Claude Agent SDK

Use Klipfolio MCP with Claude Agent SDK

Claude Code

Use Klipfolio MCP with Claude Code

Claude Cowork

Use Klipfolio MCP with Claude Cowork

Codex

Use Klipfolio MCP with Codex

OpenClaw

Use Klipfolio MCP with OpenClaw

Hermes

Use Klipfolio MCP with Hermes

CLI

Use Klipfolio MCP with CLI

Google ADK

Use Klipfolio MCP with Google ADK

LangChain

Use Klipfolio MCP with LangChain

Vercel AI SDK

Use Klipfolio MCP with Vercel AI SDK

Mastra AI

Use Klipfolio MCP with Mastra AI

LlamaIndex

Use Klipfolio MCP with LlamaIndex

CrewAI

Use Klipfolio MCP with CrewAI

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FAQ

Frequently asked questions

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

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

Start with Klipfolio.It takes 30 seconds.

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

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Klipfolio MCP with Autogen

Connect Klipfolio without auth hassles

Introduction

Also integrate Klipfolio with

TL;DR

What is AutoGen?

What is the Klipfolio 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 Klipfolio MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Explore Other Toolkits

Excel

21risk

Abstract

Addressfinder

Frequently asked questions

What are the differences in Tool Router MCP and Klipfolio MCP?+

Can I use Tool Router MCP with Autogen?+

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

How safe is my data with Composio Tool Router?+

Start with Klipfolio.It takes 30 seconds.

Teams ship real agents on Composio