# How to integrate Doppler secretops MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Doppler secretops MCP with OpenAI Agents SDK",
  "toolkit": "Doppler secretops",
  "toolkit_slug": "doppler_secretops",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/doppler_secretops/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/doppler_secretops/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:09:34.971Z"
}
```

## 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.

## Also integrate Doppler secretops with

- [Claude Agent SDK](https://composio.dev/toolkits/doppler_secretops/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/doppler_secretops/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/doppler_secretops/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/doppler_secretops/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/doppler_secretops/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/doppler_secretops/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/doppler_secretops/framework/cli)
- [Google ADK](https://composio.dev/toolkits/doppler_secretops/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/doppler_secretops/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/doppler_secretops/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/doppler_secretops/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/doppler_secretops/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/doppler_secretops/framework/crew-ai)

## 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.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `DOPPLER_SECRETOPS_ACTIVITY_LOGS_LIST` | Activity Logs List | Tool to list workplace activity logs. Use when you need to fetch recent activity logs. |
| `DOPPLER_SECRETOPS_ACTIVITY_LOGS_RETRIEVE` | Retrieve Activity Log | Tool to retrieve a single activity log entry by id. Use when you have a valid Activity Log id. |
| `DOPPLER_SECRETOPS_CONFIG_LOGS_GET` | Retrieve Config Log Entry | Tool to retrieve a specific config log entry. Use when needing details of a single config log; call after specifying project, config, and log identifiers. |
| `DOPPLER_SECRETOPS_CONFIG_LOGS_LIST` | Config Logs List | Tool to list config change logs for a specific config. Use when you need the audit trail for a config after confirming its identity. |
| `DOPPLER_SECRETOPS_CONFIG_LOGS_ROLLBACK` | Config Logs Rollback | Tool to rollback a config to a selected log version. Use when needing to undo a specific change by its log ID, after confirming project, config, and log ID. |
| `DOPPLER_SECRETOPS_CONFIGS_CLONE` | Clone Config | Tool to clone a branch config including all its secrets. Use after confirming the source config details. |
| `DOPPLER_SECRETOPS_CONFIGS_CREATE` | Create Branch Config | Tool to create a branch config. Use when you need to programmatically establish a new branch-based configuration for a specified project and environment. Use after selecting the target project and environment. |
| `DOPPLER_SECRETOPS_CONFIGS_DELETE` | Configs Delete | Tool to delete a config permanently. Use when you need to remove a config that is no longer needed. |
| `DOPPLER_SECRETOPS_CONFIGS_GET` | Get Config Details | Tool to fetch a config's details. Use when you need metadata for a specific config after specifying the project and config names. Example: "Get details for config 'staging-config' in project 'proj-123'." |
| `DOPPLER_SECRETOPS_CONFIGS_LOCK` | Lock Config | Tool to lock a config. Use when you need to prevent a config from being renamed or deleted after confirming the project and config names. Example: "Lock config 'staging-config' in project 'proj-123' after finalizing environment setup." |
| `DOPPLER_SECRETOPS_CONFIGS_UNLOCK` | Unlock Config | Tool to unlock a config. Use when you need to allow renaming or deletion of a previously locked config. Example: "Unlock config 'staging-config' in project 'proj-123'." |
| `DOPPLER_SECRETOPS_CONFIGS_UPDATE` | Update Config | Tool to modify an existing config. Use when you need to rename a config after confirming project and config names. |
| `DOPPLER_SECRETOPS_DYNAMIC_SECRETS_REVOKE_LEASE` | Revoke Dynamic Secret Lease | Tool to revoke a dynamic secret lease. Use when you need to invalidate an active lease by its ID after confirming the config and dynamic secret identifiers. |
| `DOPPLER_SECRETOPS_ENVIRONMENTS_CREATE` | Create Environment | Tool to create a new environment. Use when you need to programmatically create an environment for a specified project. |
| `DOPPLER_SECRETOPS_ENVIRONMENTS_DELETE` | Environments Delete | Tool to delete an environment. Use when you need to remove an environment from a project after confirming it's no longer in use. |
| `DOPPLER_SECRETOPS_ENVIRONMENTS_GET` | Get Environment Details | Tool to retrieve an environment. Use when you need metadata for a specific environment after specifying the project and environment slug. |
| `DOPPLER_SECRETOPS_ENVIRONMENTS_LIST` | List Environments | Tool to list environments in a Doppler project. Use when you need environment metadata for a specific project after providing the project slug. |
| `DOPPLER_SECRETOPS_ENVIRONMENTS_RENAME` | Rename Environment | Tool to rename an environment. Use when you need to update an environment's display name after confirming project and environment identifiers. |
| `DOPPLER_SECRETOPS_GROUPS_DELETE_MEMBER` | Remove Group Member | Tool to remove a member from a group. Use after confirming the group slug and member identifiers. |
| `DOPPLER_SECRETOPS_INTEGRATIONS_LIST` | Integrations List | Tool to list all external integrations. Use when you need to retrieve all configured external integrations after authentication. |
| `DOPPLER_SECRETOPS_INVITES_LIST` | Invites List | Tool to list open workplace invites. Use when you need to retrieve all pending invitations for the current Doppler workplace after authenticating. |
| `DOPPLER_SECRETOPS_PROJECT_MEMBERS_DELETE` | Remove Project Member | Tool to remove a member from a project. Use after confirming project slug, member type, and slug. Example: "Delete member 'jdoe' of type 'users' from project 'my-project-slug'." |
| `DOPPLER_SECRETOPS_PROJECT_MEMBERS_GET` | Get Project Member | Tool to retrieve a project member by type and slug. Use after confirming project slug, member type, and slug. |
| `DOPPLER_SECRETOPS_PROJECT_PERMISSIONS_LIST` | Project Permissions List | Tool to list project-level permissions. Use when you need to fetch all available permissions for projects after authentication. |
| `DOPPLER_SECRETOPS_PROJECT_ROLES_GET` | Get Project Role | Tool to retrieve a project role. Use when you need details of a specific project role after authenticating. |
| `DOPPLER_SECRETOPS_PROJECTS_CREATE` | Create Project | Tool to create a project. Use when you need to programmatically initialize a new Doppler project after authentication. |
| `DOPPLER_SECRETOPS_PROJECTS_DELETE` | Projects Delete | Tool to delete a project permanently. Use after confirming irreversible removal. |
| `DOPPLER_SECRETOPS_PROJECTS_LIST` | List Projects | Tool to list Doppler projects. Use when you need to retrieve all projects with optional pagination. |
| `DOPPLER_SECRETOPS_SECRETS_UPDATE` | Update Secrets | Tool to update secrets in a config. Use when you need to change secret values for deployments. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Doppler secretops MCP server is an implementation of the Model Context Protocol that connects your AI agent to Doppler secretops. It provides structured and secure access so your agent can perform Doppler secretops operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 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

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

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

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

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.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
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';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
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(),
});
```

### 6. Create a Tool Router session

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.
```python
# Create a Doppler secretops Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["doppler_secretops"]
)

mcp_url = session.mcp.url
```

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

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = 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(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// 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',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

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

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// 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);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["doppler_secretops"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = 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(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

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

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
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.

## How to build Doppler secretops MCP Agent with another framework

- [Claude Agent SDK](https://composio.dev/toolkits/doppler_secretops/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/doppler_secretops/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/doppler_secretops/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/doppler_secretops/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/doppler_secretops/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/doppler_secretops/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/doppler_secretops/framework/cli)
- [Google ADK](https://composio.dev/toolkits/doppler_secretops/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/doppler_secretops/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/doppler_secretops/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/doppler_secretops/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/doppler_secretops/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/doppler_secretops/framework/crew-ai)

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- [GitHub](https://composio.dev/toolkits/github) - GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place.
- [Ably](https://composio.dev/toolkits/ably) - Ably is a real-time messaging platform for live chat and data sync in modern apps. It offers global scale and rock-solid reliability for seamless, instant experiences.
- [Abuselpdb](https://composio.dev/toolkits/abuselpdb) - Abuselpdb is a central database for reporting and checking IPs linked to malicious online activity. Use it to quickly identify and report suspicious or abusive IP addresses.
- [Alchemy](https://composio.dev/toolkits/alchemy) - Alchemy is a blockchain development platform offering APIs and tools for Ethereum apps. It simplifies building and scaling Web3 projects with robust infrastructure.
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- [Anchor browser](https://composio.dev/toolkits/anchor_browser) - Anchor browser is a developer platform for AI-powered web automation. It transforms complex browser actions into easy API endpoints for streamlined web interaction.
- [Apiflash](https://composio.dev/toolkits/apiflash) - Apiflash is a website screenshot API for programmatically capturing web pages. It delivers high-quality screenshots on demand for automation, monitoring, or reporting.
- [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache.
- [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence.
- [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. It accelerates development and iteration by combining hosting, database management, and low-code features in one place.
- [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines.
- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.
- [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows.
- [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights.
- [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews.
- [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease.
- [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Doppler secretops MCP?

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.

### Can I use Tool Router MCP with OpenAI Agents SDK?

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.

### Can I manage the permissions and scopes for Doppler secretops while using Tool Router?

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.

### 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 Doppler secretops data and credentials are handled as safely as possible.

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[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)