How to integrate Control d MCP with LangChain

This guide walks you through connecting Control d to LangChain using the Composio tool router. By the end, you'll have a working Control d agent that can list all devices connected to your account, remove a device by its id, show known access ips for your network through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Control d account through Composio's Control d MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Control d is a customizable DNS filtering and traffic redirection platform. It helps you manage internet access, enforce policies, and monitor usage across devices and networks.

54 Tools

Introduction

This guide walks you through connecting Control d to LangChain using the Composio tool router. By the end, you'll have a working Control d agent that can list all devices connected to your account, remove a device by its id, show known access ips for your network through natural language commands.

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

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

Also integrate Control d with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Control d project to Composio
  • Create a Tool Router MCP session for Control d
  • Initialize an MCP client and retrieve Control d tools
  • Build a LangChain agent that can interact with Control d
  • 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 Control d MCP server, and what's possible with it?

The Control d MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Control d account. It provides structured and secure access to your DNS filtering and device management environment, so your agent can perform actions like managing devices, enforcing policies, retrieving analytics, and monitoring network access on your behalf.

  • Device inventory management: Easily list all devices on your account or remove specific devices by their identifier for streamlined device control.
  • Profile and rule administration: Direct your agent to delete profiles, custom rules, or schedules—helping you maintain and enforce up-to-date network policies.
  • Network access monitoring: Retrieve a list of known access IPs to keep tabs on which endpoints are connecting to your network infrastructure.
  • Analytics endpoints discovery: Quickly fetch available analytics storage regions and endpoints so you can integrate and analyze DNS traffic data efficiently.
  • Organization details access: Have the agent fetch and present your organization's account details for easy reference and auditing.

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:

  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

Step by step10 STEPS
1

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
2

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.
3

Install dependencies

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters 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/core is the core agent framework
  • dotenv/config loads environment variables
4

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
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Control d functionality through MCP
6

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
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 Control d tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['control_d']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Control d 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 Control d tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "control_d-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Control d MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Control d tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Control d related question or task to the agent.\n");

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept 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 invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

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

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['control_d']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "control_d-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Control d related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});

Conclusion

You've successfully built a LangChain agent that can interact with Control d 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.
TOOLS

Supported Tools

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

Delete Device by ID

Permanently delete a Control-D device/endpoint by its ID.

Delete Profile

Permanently deletes a Control D profile by its unique identifier (PK).

Delete Profile Rule by Rule ID

Delete a custom DNS rule from a Control D profile by its rule identifier (hostname/domain).

Delete Rule from Folder

Delete a custom DNS rule from a specific folder in a Control D profile.

Delete Profile Schedule

Tool to delete a specific schedule within a profile.

List Known Access IPs

List up to the latest 50 IP addresses that were used to query against a specific Device (resolver).

Get Analytics Endpoints

Tool to list analytics storage regions and their endpoints.

Get Analytics Levels

Tool to retrieve available analytics log levels for Control D devices.

Get Billing Payments

Tool to retrieve billing history of all payments made.

Get Billing Products

Retrieve all products currently activated on the Control D account.

Get Devices

Lists all Control D devices (endpoints) associated with the account.

Get Device Types

List all allowed device types in Control D.

Get IP

Tool to retrieve the current IP address and datacenter information for the API request.

Get Network Stats

Tool to retrieve network stats on available services in different POPs (Points of Presence).

Get Organization Members

Tool to view organization membership.

Get Organization Details

Tool to view the authenticated organization's details.

Get Sub-Organizations

Tool to view sub-organizations and their details.

Get Profiles

Tool to list all profiles associated with the authenticated account.

Get Profile Options

Retrieves all available configuration options for DNS profiles in Control D.

Get Profile by ID

Tool to retrieve details of a specific profile by its ID.

Get Profile Analytics

Retrieve analytics data for a Control D profile.

Get Profile Analytics Logs

Retrieves DNS query activity logs for a specific Control D profile.

Get Analytics Log Entry

Tool to retrieve a specific analytics log entry by its ID.

Get Profile Analytics Summary

Tool to fetch a summary of analytics data for a given profile.

Get Profile Analytics Top Domains

Tool to fetch top domains accessed within a specific profile.

Get Profile Top Services

Tool to fetch top services accessed within a profile.

Get Profile Filters

List all native (Control D curated) filters for a profile and their current states.

List External Filters for Profile

Tool to list third-party filters for a specific profile.

Get Profile Folders

List all rule folders (groups) within a Control D profile.

List Custom DNS Rules for Profile

Retrieve custom DNS rules for a Control D profile.

Get Specific Rule in Folder

Tool to retrieve a specific rule within a folder by its ID.

Get Profile Schedules

Tool to list schedules associated with a specific profile.

Get Profile Schedule

Tool to retrieve a specific schedule by its ID within a profile.

Get Profile Services

Tool to list services associated with a specific profile.

Get Proxies

Tool to retrieve the list of usable proxy locations that traffic can be redirected through.

Get Service Categories

List all available service categories in Control D.

List Services by Category

Retrieves all services within a specific ControlD service category.

Get Users

Retrieve the authenticated user's account information from Control D.

Create Device

Create a new device (DNS endpoint) in Control D.

Create Profile

Create a new blank profile or clone an existing one.

Create Custom DNS Rule

Create custom DNS rules for a profile to control domain resolution.

Create Custom Rules in Profile Folder

Tool to create custom rules within a specific folder for a profile.

Create Profile Schedule

Create a new time-based schedule within a Control D profile.

Modify Device

Modify an existing Control D device's settings.

Modify Organization

Modify organization settings such as name, contact details, website, and device limits.

Modify Profile

Modify an existing profile by its ID.

Bulk Update Profile Filters

Tool to bulk update filters on a specific profile.

Update External Filters for Profile

Tool to update external filters for a specific profile.

Modify Profile Filter

Modify the enabled state of a specific native filter on a profile.

Modify Custom Rule for Profile

Modify an existing custom DNS rule for a profile in Control D.

Update Custom Rule by Rule ID

Tool to update an existing custom rule by its ID.

Move Profile Rule to Folder

Tool to move a specific custom rule into a different folder.

Update Profile Schedule

Tool to update a specific schedule within a profile.

Modify Service for Profile

Tool to modify a specific service rule for a profile.

FRAMEWORKS

How to build Control d MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Control d MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Control d MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Control d MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Control d MCP with Claude Cowork

Codex logo

Codex

Use Control d MCP with Codex

OpenClaw logo

OpenClaw

Use Control d MCP with OpenClaw

Hermes logo

Hermes

Use Control d MCP with Hermes

CLI logo

CLI

Use Control d MCP with CLI

Google ADK logo

Google ADK

Use Control d MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Control d MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Control d MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Control d MCP with LlamaIndex

CrewAI logo

CrewAI

Use Control d MCP with CrewAI

FAQ

Frequently asked questions

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

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 Control d tools.

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

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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.

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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.

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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.

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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.

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