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How to integrate Doppler MCP with OpenAI Agents SDK

Connect OpenAI Agents SDK to Doppler MCP. Get secrets for staging environment in doppler, add a new secret to marketing project, and more using natural language, with authentication handled for you.

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Doppler is a secrets management platform for organizing and syncing environment variables. It lets teams securely centralize, share, and update secrets across infrastructure.

62 Tools

Introduction

This guide walks you through connecting Doppler to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Doppler agent that can get secrets for staging environment in doppler, add a new secret to marketing project, list all projects and their environments through natural language commands.

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

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

Also integrate Doppler with

Claude CodeCursorChatGPTClaude CoworkAntigravityClaude Agent SDKCodexGrok BuildVS CodeOpenCodeOpenClawHermesAtomic AgentPiDeepSeek HarnessGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAIPydantic AIAutoGen

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
  • Configure an AI agent that can use Doppler as a tool
  • Run a live chat session where you can ask the agent to perform Doppler 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 MCP server, and what's possible with it?

The Doppler 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 account. It provides structured and secure access to your projects, environments, configs, secrets, service tokens, users, and webhooks, so your agent can inspect projects, review configurations, retrieve and update secrets, create service tokens, and audit workspace resources on your behalf.

  • Project and environment discovery: Have your agent list Doppler projects, inspect project details, and review the environments available within each project.
  • Configuration review: Let the agent list configurations for a project and retrieve a specific config when you need to check how an environment is organized.
  • Secret retrieval and updates: Direct your agent to list secret names, retrieve a specific secret, download configured secrets, or update secrets within a chosen config.
  • Service token management: Instruct your agent to create a service token for a config or list its existing service tokens for review.
  • Workspace and webhook auditing: Have your agent identify the authenticated user, list workplace users, and review webhooks configured for a project.

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 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.
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
const session = await composio.create(userId as string, {
  toolkits: ['doppler'],
});
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.
  • The router checks the user's Doppler connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Doppler.
  • This approach keeps things lightweight and lets the agent request Doppler 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. Help users perform Doppler 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 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 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.
  • 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 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'],
  });
  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. Help users perform Doppler 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 MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Doppler.

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 action and event your agent gets out of the box.

List Activity Logs

List workplace activity logs with pagination support.

Get Activity Log

Retrieve detailed information about a specific activity log entry.

Add Webhook

Tool to create a new webhook for a Doppler project.

Get Authenticated User Info

Tool to retrieve information about the authenticated user or token.

Get Config Log

Tool to retrieve a specific config log from Doppler.

List Config Logs

Tool to retrieve configuration change logs for a specific config in a project.

Rollback Config Log

Tool to rollback a config to a selected log version.

Clone Config

Tool to clone a branch config including all its secrets.

Create Config

Tool to create a branch config.

Delete Config

Tool to delete a config permanently.

Get Config

Tool to retrieve a specific Doppler config by project and config name.

List Doppler Configs

Tool to list configurations from a Doppler project.

Lock Config

Lock a Doppler config to prevent it from being renamed or deleted.

Unlock Config

Tool to unlock a config.

Update Config

Rename an existing Doppler config within a project.

Create Encrypted Share Link

Create a Doppler Share link for an end-to-end encrypted secret.

Create Plain Text Share Link

Tool to generate a Doppler Share link by sending a plain text secret.

Create Service Token

Tool to create a new service token for a Doppler config.

Delete Service Token

Tool to delete an existing service token from a Doppler config.

Delete Webhook

Tool to delete an existing webhook.

Disable Webhook

Tool to disable an existing Doppler webhook.

Revoke Dynamic Secret Lease

Revoke a dynamic secret lease immediately before its TTL expires.

Enable Webhook

Tool to enable a previously disabled webhook.

Create Environment

Create a new environment in a Doppler project.

Delete Environment

Tool to delete an environment.

Get Environment

Retrieves detailed metadata for a specific Doppler environment within a project.

List Environments

Tool to list all environments in a Doppler project.

Rename Environment

Rename an environment's display name within a Doppler project.

Get Webhook

Tool to retrieve an existing webhook by its slug.

Get Workplace User

Tool to retrieve a specific workplace user by their workplace_user id.

Remove Group Member

Remove a member from a Doppler group.

List Integrations

Tool to retrieve all existing integrations in Doppler.

List Invites

Tool to list open workplace invites.

List Change Requests

List existing change requests in the Doppler workplace.

List Project Members

Tool to list all members of a Doppler project including users, groups, service accounts, and invites.

List Service Tokens

Tool to list all service tokens for a specific Doppler config.

List Workplace Users

Tool to list all users in the Doppler workplace.

List Webhooks

Tool to list all webhooks configured for a Doppler project.

Remove Project Member

Tool to remove a member from a project.

Get Project Member

Retrieve a specific project member's details including their role and environment access permissions.

List Project Permissions

List all available project-level permissions in Doppler.

Get Project Role

Retrieve detailed information about a specific project role in Doppler, including its permissions, display name, identifier, creation timestamp, and whether it's a custom or built-in role.

List Project Roles

Tool to list all available project roles in Doppler.

Create Project

Tool to create a project.

Delete Project

Tool to delete a project permanently.

Get Project Details

Tool to retrieve details of a specific Doppler project by its identifier.

List Doppler Projects

Tool to list all Doppler projects in your workspace.

Delete Secret

Tool to delete a secret from a Doppler config.

Download Secrets

Tool to download secrets from a Doppler config in various formats.

Get Secret

Tool to retrieve a specific secret from a Doppler project config.

List Doppler Secrets

Tool to list all secrets for a specific Doppler config within a project.

List Secret Names

Tool to retrieve the list of secret names from a specific Doppler config.

Update Doppler Secrets

Tool to update secrets in a Doppler config.

Update Secret Note

Tool to update a note for a secret in Doppler.

Update Project

Tool to update an existing Doppler project's name or description.

Update Secret Note

DEPRECATED: Use DopplerSecretsUpdateNote instead.

Update Webhook

Tool to update an existing webhook configuration in Doppler.

Update Workplace Settings

Tool to update workplace settings in Doppler.

Get Workplace Information

Tool to retrieve workplace information from Doppler.

Get Workplace Role

Tool to retrieve workplace role information from Doppler.

List Workplace Roles

Tool to list all workplace roles in your Doppler workspace.

List Workplace Permissions

Retrieves all available workplace permissions in Doppler.

FRAMEWORKS

How to build Doppler MCP Agent with another framework

Claude Code logo

Claude Code

Use Doppler MCP with Claude Code

Cursor logo

Cursor

Use Doppler MCP with Cursor

ChatGPT logo

ChatGPT

Use Doppler MCP with ChatGPT

Claude Cowork logo

Claude Cowork

Use Doppler MCP with Claude Cowork

Antigravity logo

Antigravity

Use Doppler MCP with Antigravity

Claude Agent SDK logo

Claude Agent SDK

Use Doppler MCP with Claude Agent SDK

Codex logo

Codex

Use Doppler MCP with Codex

Grok Build logo

Grok Build

Use Doppler MCP with Grok Build

VS Code logo

VS Code

Use Doppler MCP with VS Code

OpenCode logo

OpenCode

Use Doppler MCP with OpenCode

OpenClaw logo

OpenClaw

Use Doppler MCP with OpenClaw

Hermes logo

Hermes

Use Doppler MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Doppler MCP with Atomic Agent

Pi logo

Pi

Use Doppler MCP with Pi

DeepSeek Harness logo

DeepSeek Harness

Use Doppler MCP with DeepSeek Harness

Google ADK logo

Google ADK

Use Doppler MCP with Google ADK

LangChain logo

LangChain

Use Doppler MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Doppler MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Doppler MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Doppler MCP with LlamaIndex

CrewAI logo

CrewAI

Use Doppler MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Doppler MCP with Pydantic AI

AutoGen logo

AutoGen

Use Doppler MCP with AutoGen

FAQ

Frequently asked questions

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

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

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