How to integrate Klipfolio MCP with Claude Agent SDK

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Introduction

This guide walks you through connecting Klipfolio to the Claude Agent SDK 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 my account, append this week's sales csv to data source, refresh all data sources updated in last 24 hours through natural language commands.

This guide will help you understand how to give your Claude Agent SDK 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.

TL;DR

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

What is Claude Agent SDK?

The Claude Agent SDK is Anthropic's official framework for building AI agents powered by Claude. It provides a streamlined interface for creating agents with MCP tool support and conversation management.

Key features include:

  • Native MCP Support: Built-in support for Model Context Protocol servers
  • Permission Modes: Control tool execution permissions
  • Streaming Responses: Real-time response streaming for interactive applications
  • Context Manager: Clean async context management for sessions

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.

Supported Tools & Triggers

Tools
Append Data to Data SourceThis tool appends plain-text or csv data to an existing data source in klipfolio.
Create Data SourceThis tool creates a new data source in klipfolio.
Create Tab (Dashboard)This tool creates a new tab (dashboard) in klipfolio.
Delete Data SourceThis tool permanently removes a specified data source from the klipfolio account.
Get Dashboard DetailsThis tool retrieves detailed information about a specific dashboard (formerly known as tab) in klipfolio.
Get Data Source Instance DetailsThis tool retrieves detailed information about a specific data source instance in klipfolio.
Get KlipsThis tool retrieves a list of all klips accessible to the authenticated user.
Get User ProfileThis tool is used to retrieve the authenticated user's profile information and test the authentication status.
List All Data SourcesThis tool retrieves a list of all data sources associated with an authenticated klipfolio account.
Refresh Multiple Data SourcesThis tool allows users to refresh multiple data sources in klipfolio simultaneously.
Update Data SourceThis tool allows you to replace/update the data in an existing klipfolio data source.

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 Claude/Anthropic API Key
  • Primary know-how of Claude Agents SDK
  • A Klipfolio account
  • Some knowledge of Python

Getting API Keys for Claude/Anthropic and Composio

Claude/Anthropic API Key
  • Go to the Anthropic Console and create an API key. You'll need credits to use the models.
  • 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

pip install composio-anthropic claude-agent-sdk python-dotenv

Install the Composio SDK and the Claude Agents SDK.

What's happening:

  • composio-anthropic provides Composio integration for Anthropic
  • claude-agent-sdk is the core agent framework
  • python-dotenv loads environment variables

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
ANTHROPIC_API_KEY=your_anthropic_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID identifies the user for session management
  • ANTHROPIC_API_KEY authenticates with Anthropic/Claude

Import dependencies

import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions
import os
from composio import Composio
from dotenv import load_dotenv

load_dotenv()
What's happening:
  • We're importing all necessary libraries including the Claude Agent SDK and Composio
  • The load_dotenv() function loads environment variables from your .env file
  • This setup prepares the foundation for connecting Claude with Klipfolio functionality

Create a Composio instance and Tool Router session

async def chat_with_remote_mcp():
    api_key = os.getenv("COMPOSIO_API_KEY")
    if not api_key:
        raise RuntimeError("COMPOSIO_API_KEY is not set")

    composio = Composio(api_key=api_key)

    # Create Tool Router session for Klipfolio
    mcp_server = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["klipfolio"]
    )

    url = mcp_server.mcp.url

    if not url:
        raise ValueError("Session URL not found")
What's happening:
  • The function checks for the required COMPOSIO_API_KEY environment variable
  • We're creating a Composio instance using our API key
  • The create method creates a Tool Router session for Klipfolio
  • The returned url is the MCP server URL that your agent will use

Configure Claude Agent with MCP

# Configure remote MCP server for Claude
options = ClaudeAgentOptions(
    permission_mode="bypassPermissions",
    mcp_servers={
        "composio": {
            "type": "http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    },
    system_prompt="You are a helpful assistant with access to Klipfolio tools via Composio.",
    max_turns=10
)
What's happening:
  • We're configuring the Claude Agent options with the MCP server URL
  • permission_mode="bypassPermissions" allows the agent to execute operations without asking for permission each time
  • The system prompt instructs the agent that it has access to Klipfolio
  • max_turns=10 limits the conversation length to prevent excessive API usage

Create client and start chat loop

# Create client with context manager
async with ClaudeSDKClient(options=options) as client:
    print("\nChat started. Type 'exit' or 'quit' to end.\n")

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

        # Send query
        await client.query(user_input)

        # Receive and print response
        print("Claude: ", end="", flush=True)
        async for message in client.receive_response():
            if hasattr(message, "content"):
                for block in message.content:
                    if hasattr(block, "text"):
                        print(block.text, end="", flush=True)
        print()
What's happening:
  • The Claude SDK client is created using the async context manager pattern
  • The agent processes each query and streams the response back in real-time
  • The chat loop continues until the user types 'exit' or 'quit'

Run the application

if __name__ == "__main__":
    asyncio.run(chat_with_remote_mcp())
What's happening:
  • This entry point runs the async chat_with_remote_mcp() function using asyncio.run()
  • The application will start, create the MCP connection, and begin the interactive chat session

Complete Code

Here's the complete code to get you started with Klipfolio and Claude Agent SDK:

import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions
import os
from composio import Composio
from dotenv import load_dotenv

load_dotenv()

async def chat_with_remote_mcp():
    api_key = os.getenv("COMPOSIO_API_KEY")
    if not api_key:
        raise RuntimeError("COMPOSIO_API_KEY is not set")

    composio = Composio(api_key=api_key)

    # Create Tool Router session for Klipfolio
    mcp_server = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["klipfolio"]
    )

    url = mcp_server.mcp.url

    if not url:
        raise ValueError("Session URL not found")

    # Configure remote MCP server for Claude
    options = ClaudeAgentOptions(
        permission_mode="bypassPermissions",
        mcp_servers={
            "composio": {
                "type": "http",
                "url": url,
                "headers": {
                    "x-api-key": os.getenv("COMPOSIO_API_KEY")
                }
            }
        },
        system_prompt="You are a helpful assistant with access to Klipfolio tools via Composio.",
        max_turns=10
    )

    # Create client with context manager
    async with ClaudeSDKClient(options=options) as client:
        print("\nChat started. Type 'exit' or 'quit' to end.\n")

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

            # Send query
            await client.query(user_input)

            # Receive and print response
            print("Claude: ", end="", flush=True)
            async for message in client.receive_response():
                if hasattr(message, "content"):
                    for block in message.content:
                        if hasattr(block, "text"):
                            print(block.text, end="", flush=True)
            print()

if __name__ == "__main__":
    asyncio.run(chat_with_remote_mcp())

Conclusion

You've successfully built a Claude Agent SDK agent that can interact with Klipfolio through Composio's Tool Router.

Key features:

  • Native MCP support through Claude's agent framework
  • Streaming responses for real-time interaction
  • Permission bypass for smooth automated workflows
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

How to build Klipfolio MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Klipfolio MCP with OpenAI Agents SDK

Google ADK

Google ADK

Use Klipfolio MCP with Google ADK

LangChain

LangChain

Use Klipfolio MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Klipfolio MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Klipfolio MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Klipfolio MCP with LlamaIndex

CrewAI

CrewAI

Use Klipfolio MCP with CrewAI

FAQ

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

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.

Can I use Tool Router MCP with Claude Agent SDK?

Yes, you can. Claude Agent 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 Klipfolio tools.

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

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.

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 Klipfolio data and credentials are handled as safely as possible.

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