How to integrate Doppler secretops MCP with OpenAI Agents SDK

This guide walks you through connecting Doppler secretops to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Doppler secretops agent that can list all recent config changes for project x, rollback staging config to previous version, clone production config to a new branch through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Doppler secretops account through Composio's Doppler secretops MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Doppler secretops logoDoppler secretops
Api Key

Doppler secretops is a secrets management platform for teams to store and sync environment variables securely across projects and environments. It streamlines secrets sharing, reduces manual config errors, and keeps sensitive data protected.

29 Tools

Introduction

This guide walks you through connecting Doppler secretops to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Doppler secretops agent that can list all recent config changes for project x, rollback staging config to previous version, clone production config to a new branch through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Doppler secretops account through Composio's Doppler secretops MCP server.

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

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TL;DR

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

What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

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

The Doppler secretops MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Doppler secretops account. It provides structured and secure access to your secrets management platform, so your agent can perform actions like auditing activity logs, managing environment configs, rolling back changes, and automating config cloning on your behalf.

  • Fetch activity and config logs: Quickly retrieve detailed activity logs and config change histories to monitor changes and track security events across your Doppler workspace.
  • Rollback and restore configurations: Direct your agent to roll back a config to a previous version, helping you easily undo unwanted or risky changes with confidence.
  • Clone and create branch configs: Automate the cloning of config branches or create new branch configs for different environments and projects, streamlining your secrets management workflows.
  • Config locking and deletion: Secure your critical configs by locking them against unwanted changes or safely deleting obsolete configurations as part of environment cleanup.
  • Retrieve detailed config metadata: Instantly get comprehensive details for any specific config, including project and environment context, to support debugging and compliance tasks.

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 step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Doppler secretops project
  • Some knowledge of Python or Typescript
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
3

Install dependencies

npm install @composio/openai-agents @openai/agents dotenv

Install the Composio SDK and the OpenAI Agents SDK.

4

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

5

Import dependencies

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Doppler secretops.
6

Set up the Composio instance

dotenv.config();

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

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
What's happening:
  • dotenv.config() loads your .env file so COMPOSIO_API_KEY and USER_ID are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.
7

Create a Tool Router session

// Create Tool Router session for Doppler secretops
const session = await composio.create(userId as string, {
  toolkits: ['doppler_secretops'],
});
const mcpUrl = session.mcp.url;

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only doppler_secretops.
  • The router checks the user's Doppler secretops connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Doppler secretops.
  • This approach keeps things lightweight and lets the agent request Doppler secretops tools only when needed during the conversation.
8

Configure the agent

// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Doppler secretops. Help users perform Doppler secretops operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Doppler secretops and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a hostedMcpTool that connects to the MCP server URL we created earlier.
  • The headers object includes the Composio API key for secure authentication with the MCP server.
  • requireApproval: 'never' means the agent can execute Doppler secretops operations without asking for permission each time, making interactions smoother.
9

Start chat loop and handle conversation

// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

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

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

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

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

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

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
What's happening:
  • The program prints a session URL that you visit to authorize Doppler secretops.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using run().
  • The responses are printed to the console.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Doppler secretops and OpenAI Agents SDK:

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

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

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['doppler_secretops'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Doppler secretops. Help users perform Doppler secretops operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

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

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

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

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

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

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\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

This was a starter code for integrating Doppler secretops MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Doppler secretops.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.
TOOLS

Supported Tools

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

Activity Logs List

Tool to list workplace activity logs.

Retrieve Activity Log

Tool to retrieve a single activity log entry by id.

Retrieve Config Log Entry

Tool to retrieve a specific config log entry.

Config Logs List

Tool to list config change logs for a specific config.

Config Logs Rollback

Tool to rollback a config to a selected log version.

Clone Config

Tool to clone a branch config including all its secrets.

Create Branch Config

Tool to create a branch config.

Configs Delete

Tool to delete a config permanently.

Get Config Details

Tool to fetch a config's details.

Lock Config

Tool to lock a config.

Unlock Config

Tool to unlock a config.

Update Config

Tool to modify an existing config.

Revoke Dynamic Secret Lease

Tool to revoke a dynamic secret lease.

Create Environment

Tool to create a new environment.

Environments Delete

Tool to delete an environment.

Get Environment Details

Tool to retrieve an environment.

List Environments

Tool to list environments in a Doppler project.

Rename Environment

Tool to rename an environment.

Remove Group Member

Tool to remove a member from a group.

Integrations List

Tool to list all external integrations.

Invites List

Tool to list open workplace invites.

Remove Project Member

Tool to remove a member from a project.

Get Project Member

Tool to retrieve a project member by type and slug.

Project Permissions List

Tool to list project-level permissions.

Get Project Role

Tool to retrieve a project role.

Create Project

Tool to create a project.

Projects Delete

Tool to delete a project permanently.

List Projects

Tool to list Doppler projects.

Update Secrets

Tool to update secrets in a config.

FAQ

Frequently asked questions

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

Yes, you can. OpenAI Agents 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 Doppler secretops tools.

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

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