How to integrate Dnsfilter MCP with LangChain

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Introduction

This guide walks you through connecting Dnsfilter to LangChain using the Composio tool router. By the end, you'll have a working Dnsfilter agent that can list all ip addresses in my network, retrieve billing information for my organization, get details for a specific filtering category, list all application categories for review through natural language commands.

This guide will help you understand how to give your LangChain agent real control over a Dnsfilter account through Composio's Dnsfilter 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
  • Connect your Dnsfilter project to Composio
  • Create a Tool Router MCP session for Dnsfilter
  • Initialize an MCP client and retrieve Dnsfilter tools
  • Build a LangChain agent that can interact with Dnsfilter
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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

The Dnsfilter MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Dnsfilter account. It provides structured and secure access to your DNSFilter environment, so your agent can perform actions like listing IPs, retrieving categories, managing network devices, and accessing billing information on your behalf.

  • Comprehensive IP address management: Direct your agent to list, fetch, or create IP address entries for your networks, streamlining network administration.
  • Efficient category and content filtering: Have your agent retrieve details for specific filtering categories or list all available content categories to fine-tune organizational policies.
  • Network device inventory automation: Ask your agent to list all MAC addresses and applications in your environment, making it easy to keep track of connected devices and services.
  • Application category insight: Instantly access information about application categories or retrieve all application categories to stay updated on your filtering options.
  • Billing information access: Let your agent pull detailed billing information for your organization, supporting audits and automated reporting workflows.

Supported Tools & Triggers

Tools
Create IP AddressTool to create a new ip address in dnsfilter.
Get Application CategoryTool to get basic information of a specific application category.
Get Billing InformationTool to retrieve basic billing information for an organization.
Get CategoryTool to get basic information of a specific category.
Get IP AddressTool to get basic information of the specified ip address.
List All CategoriesTool to list all categories including internal categories.
List All IP AddressesTool to list all user-associated ip addresses.
List All MAC AddressesTool to list all mac addresses with basic information.
List Application CategoriesTool to list application categories with basic information.
List ApplicationsTool to list applications with basic information.
List Block PagesTool to list block pages associated with the current user.
List CategoriesTool to list categories with basic information.
List InvoicesTool to list invoices for an organization, most recent first.
List IP AddressesTool to list user-associated ip addresses basic information.
List MAC AddressesTool to list mac addresses associated with an organization.
List NetworksTool to list all networks.
List OrganizationsTool to list all organizations.
Suggest Domain ThreatTool to suggest a fqdn as a potential threat.
Validate Auth0 JWTTool to validate a jwt with auth0.

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 this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming

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

pip install composio-langchain langchain-mcp-adapters langchain python-dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • composio-langchain provides Composio integration for LangChain
  • langchain-mcp-adapters enables MCP client connections
  • langchain is the core agent framework
  • python-dotenv loads environment variables

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models

Import dependencies

from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Dnsfilter functionality through MCP

Initialize Composio client

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to Dnsfilter tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding

Create a Tool Router session

# Create Tool Router session for Dnsfilter
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['dnsfilter']
)

url = session.mcp.url
What's happening:
  • We're creating a Tool Router session that gives your agent access to Dnsfilter tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
  • This approach allows the agent to dynamically load and use Dnsfilter tools as needed

Configure the agent with the MCP URL

client = MultiServerMCPClient({
    "dnsfilter-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Dnsfilter MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • get_tools() retrieves all available Dnsfilter tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model

Set up interactive chat interface

conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Dnsfilter related question or task to the agent.\n")

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ['exit', 'quit', 'bye']:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
What's happening:
  • We initialize an empty conversation_history list to maintain context across interactions
  • A while loop continuously accepts user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the ainvoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully

Run the application

if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • We call the main() function using asyncio.run() to start the application

Complete Code

Here's the complete code to get you started with Dnsfilter and LangChain:

from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['dnsfilter']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "dnsfilter-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Dnsfilter related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

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

Conclusion

You've successfully built a LangChain agent that can interact with Dnsfilter through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

How to build Dnsfilter MCP Agent with another framework

FAQ

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

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

Can I use Tool Router MCP with LangChain?

Yes, you can. LangChain 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 Dnsfilter tools.

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

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

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