# How to integrate Conveyor MCP with Google ADK

```json
{
  "title": "How to integrate Conveyor MCP with Google ADK",
  "toolkit": "Conveyor",
  "toolkit_slug": "conveyor",
  "framework": "Google ADK",
  "framework_slug": "google-adk",
  "url": "https://composio.dev/toolkits/conveyor/framework/google-adk",
  "markdown_url": "https://composio.dev/toolkits/conveyor/framework/google-adk.md",
  "updated_at": "2026-09-24T11:02:20.757Z"
}
```

## Introduction

This guide walks you through connecting Conveyor to Google ADK using the Composio tool router. By the end, you'll have a working Conveyor agent that can list all pending authorization requests, fetch all documents in your trust center, delete a folder by its id through natural language commands.
This guide will help you understand how to give your Google ADK agent real control over a Conveyor account through Composio's Conveyor MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Conveyor with

- [Claude Code](https://composio.dev/toolkits/conveyor/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/conveyor/framework/claude-cowork)
- [OpenAI Agents SDK](https://composio.dev/toolkits/conveyor/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/conveyor/framework/claude-agents-sdk)
- [Codex](https://composio.dev/toolkits/conveyor/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/conveyor/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/conveyor/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/conveyor/framework/atomic-agent)
- [LangChain](https://composio.dev/toolkits/conveyor/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/conveyor/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/conveyor/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/conveyor/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/conveyor/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/conveyor/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/conveyor/framework/autogen)

## TL;DR

Here's what you'll learn:
- Get a Conveyor account set up and connected to Composio
- Install the Google ADK and Composio packages
- Create a Composio Tool Router session for Conveyor
- Build an agent that connects to Conveyor through MCP
- Interact with Conveyor using natural language

## What is Google ADK?

Google ADK (Agents Development Kit) is Google's framework for building AI agents powered by Gemini models. It provides tools for creating agents that can use external services through the Model Context Protocol.
Key features include:
- Gemini Integration: Native support for Google's Gemini models
- MCP Toolset: Built-in support for Model Context Protocol tools
- Streamable HTTP: Connect to external services through streamable HTTP
- CLI and Web UI: Run agents via command line or web interface

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

The Conveyor MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Conveyor account. It provides structured and secure access to your security reviews and compliance workflows, so your agent can perform actions like retrieving documents, managing authorization requests, tracking connections, and automating security questionnaire processes on your behalf.
- Authorization request management: Fetch, list, and review details of all authorization requests, making it easy for your agent to help you track and respond to security and compliance requests in real time.
- Document and folder automation: Retrieve, organize, or delete specific documents and folders, ensuring your Trust Center stays tidy and up to date without manual effort.
- Connection insights and tracking: Access a complete list of your Conveyor connections, letting your agent monitor integrations and stay on top of your security ecosystem.
- Interaction history by document: Instantly pull all interactions related to a specific document, so your agent can summarize or audit user activity for compliance needs.
- API token validation and guidance: Use AI-driven guidance to validate API tokens and get structured support for access issues, helping keep your Conveyor integration secure and running smoothly.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CONVEYOR_DELETE_DOCUMENT` | Delete a Conveyor document | Tool to delete a specific document. Use when you need to remove a document by its ID. |
| `CONVEYOR_DELETE_FOLDER` | Delete folder | Permanently deletes a folder from the Conveyor Exchange by its UUID. Use GET_FOLDERS first to retrieve the folder_id. This action is irreversible. |
| `CONVEYOR_GET_ACCESS_GROUPS` | Get all access groups | Tool to retrieve all access groups for a program. Use when you need to fetch the complete list of access groups configured in the Conveyor Exchange. |
| `CONVEYOR_GET_AUTHORIZATION_REQUEST` | Get Authorization Request | Retrieves details of a specific authorization request from Conveyor Exchange by its ID. Use this to get information about a pending or processed access request, including the requestor's email, message, status, and associated dataroom. |
| `CONVEYOR_GET_AUTHORIZATION_REQUESTS` | Get Authorization Requests | Retrieves authorization requests from Conveyor's Trust Center. Use this tool to: - List all authorization requests (no filters) - Get pending requests awaiting approval (status='requested') - Filter by specific status ('initial', 'requested', 'approved', 'ignored') - Filter by requester email address Returns a list of authorization requests with details including requester email, status, timestamps, and optional CRM links. |
| `CONVEYOR_GET_AUTHORIZATIONS` | Get authorizations | Retrieve authorizations from your Conveyor Trust Center. Authorizations control who has access to view documents. Use this to list all authorizations or filter by status ('gated', 'authorized', 'revoked') or email address. Requires a valid API token for authentication. |
| `CONVEYOR_GET_CONNECTIONS` | Get all Conveyor connections | Tool to retrieve all connections. Use when you need to fetch the complete list of your Conveyor connections. Use after authenticating with a valid API key. |
| `CONVEYOR_GET_DOCUMENTS` | Get all Conveyor documents | Retrieves all documents from the Conveyor trust center. Returns a list of documents with their metadata including name, description, access level, versions, and timestamps. No parameters required - simply call to get all documents. |
| `CONVEYOR_GET_FOLDERS` | List all Exchange folders | Retrieves all folders from the Conveyor Exchange workspace. Returns a list of folders with their IDs, names, timestamps, and associated document IDs. Use this to discover available folders before uploading documents or managing folder contents. |
| `CONVEYOR_GET_INTERACTIONS` | Get all interactions | Tool to get all interactions (document interactions, q&a interactions) with optional filters. Use when you need to retrieve and filter interactions across all documents and Q&A sessions. |
| `CONVEYOR_GET_INTERACTIONS_BY_CONNECTION_ID` | Get interactions by connection ID | Tool to fetch interactions associated with a specific connection. Use when you need to list all interactions for a given connection after validating its existence. |
| `CONVEYOR_GET_INTERACTIONS_BY_DOCUMENT_ID` | Get interactions by document ID | Tool to fetch interactions associated with a specific document. Use when you need to list all interactions for a given document after validating its existence. |
| `CONVEYOR_GET_KNOWLEDGE_BASE_QUESTIONS` | Get Knowledge Base Questions | Retrieves knowledge base questions from Conveyor. Use to list, search, or paginate through Q&A entries stored in the knowledge base for compliance and security questionnaires. |
| `CONVEYOR_GET_PRODUCT_LINES` | Get product lines | Retrieves all product lines configured in Conveyor. Use this action to list available product lines for organizing trust documentation, authorizations, and security reviews by business segment. This is a read-only operation that requires a valid API token. Returns a list of product lines with their IDs, names, and descriptions. The list may be empty if no product lines have been configured. |
| `CONVEYOR_GET_QUESTIONNAIRES` | Get questionnaires | Retrieves all questionnaires from Conveyor with optional filters. Use this to list questionnaires by status, product line, or date ranges. Returns questionnaire metadata including assignee, connection, product lines, and completion status. |
| `CONVEYOR_PATCH_AUTHORIZATION` | Patch authorization | Update an existing authorization by revoking access or modifying Access Group assignments. Use this tool to: - Revoke a user's access to the Trust Center (set revoke=true) - Update which Access Groups a user belongs to (provide access_group_ids list) At least one of 'revoke' or 'access_group_ids' must be provided. |
| `CONVEYOR_PATCH_DOCUMENT` | Update Conveyor document | Update a Conveyor document's metadata. Use this to change a document's name, description, access level, folder location, or other properties. Requires the document UUID. |
| `CONVEYOR_PATCH_QUESTIONNAIRE_REQUEST` | Update questionnaire request | Tool to update a questionnaire request in Conveyor. Use this to modify an existing questionnaire request's external ID, case IDs, raw data, or source system information. |
| `CONVEYOR_POST_AUTHORIZATION` | Create new authorization | Tool to create a new authorization in Conveyor Exchange. Use this to grant access to a user by email address or by approving an existing authorization request. Provide either 'email' (to create a new authorization for that email) or 'request_id' (to approve an existing authorization request), but not both. |
| `CONVEYOR_POST_DOCUMENT` | Upload new document | Tool to upload a new document to Conveyor's Knowledge Library. Use when you need to add a file (<=100MB) for security compliance documentation. |
| `CONVEYOR_POST_FOLDER` | Create new folder | Tool to create a new folder in Conveyor Exchange. Use when you need to organize items into folders programmatically after obtaining an API key. |
| `CONVEYOR_POST_QUESTIONNAIRE` | Submit new questionnaire | Tool to submit a new questionnaire to Conveyor. Use when you need to create a security questionnaire or RFP submission with file uploads, portal links, or Salesforce integration. |
| `CONVEYOR_POST_QUESTIONNAIRE_REQUEST` | Create questionnaire request | Tool to create a new questionnaire request in Conveyor. Use when you need to submit a security questionnaire or compliance request for processing. Requires submitter_email and either external_id with raw_data OR case_ids from Salesforce. |
| `CONVEYOR_POST_REVIEW` | Create new review | Tool to create a review in Conveyor with optional references to external VM unique IDs. Use when you need to create a vendor review programmatically. |
| `CONVEYOR_POST_SINGLE_QUESTION` | Submit single question | Submit a single question to Conveyor's AI knowledge base and receive an immediate answer. Use this when responding to security questionnaires, compliance inquiries, or knowledge base queries. Returns the AI-generated answer along with confidence scoring when available. |

## Supported Triggers

None listed.

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

The Conveyor MCP server is an implementation of the Model Context Protocol that connects your AI agent to Conveyor. It provides structured and secure access so your agent can perform Conveyor 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:
- A Google API key for Gemini models
- A Composio account and API key
- Python 3.9 or later installed
- Basic familiarity with Python

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

Google API Key
- Go to [Google AI Studio](https://aistudio.google.com/app/apikey) and create an API key.
- Copy the key and keep it safe. You will put this in GOOGLE_API_KEY.
Composio API Key and User ID
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings → API Keys and copy your Composio API key. Use this for COMPOSIO_API_KEY.
- Decide on a stable user identifier to scope sessions, often your email or a user ID. Use this for COMPOSIO_USER_ID.

### 2. Install dependencies

Inside your virtual environment, install the required packages.
What's happening:
- google-adk is Google's Agents Development Kit
- composio connects your agent to Conveyor via MCP
- python-dotenv loads environment variables
```bash
pip install google-adk composio python-dotenv
```

### 3. Set up ADK project

Set up a new Google ADK project.
What's happening:
- This creates an agent folder with a root agent file and .env file
```bash
adk create my_agent
```

### 4. Set environment variables

Save all your credentials in the .env file.
What's happening:
- GOOGLE_API_KEY authenticates with Google's Gemini models
- COMPOSIO_API_KEY authenticates with Composio
- COMPOSIO_USER_ID identifies the user for session management
```bash
GOOGLE_API_KEY=your-google-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id-or-email
```

### 5. Import modules and validate environment

What's happening:
- os reads environment variables
- Composio is the main Composio SDK client
- GoogleProvider declares that you are using Google ADK as the agent runtime
- Agent is the Google ADK LLM agent class
- McpToolset lets the ADK agent call MCP tools over HTTP
```python
import os
import warnings

from composio import Composio
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()

warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")
```

### 6. Create Composio client and Tool Router session

What's happening:
- Authenticates to Composio with your API key
- Declares Google ADK as the provider
- Spins up a short-lived MCP endpoint for your user and selected toolkit
- Stores the MCP HTTP URL for the ADK MCP integration
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["conveyor"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url,
print(f"Composio MCP URL: {COMPOSIO_MCP_URL}")
```

### 7. Set up the McpToolset and create the Agent

What's happening:
- Connects the ADK agent to the Composio MCP endpoint through McpToolset
- Uses Gemini as the model powering the agent
- Lists exact tool names in instruction to reduce misnamed tool calls
```python
composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Conveyor operations."
    ),
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
```

### 8. Run the agent

Execute the agent from the project root. The web command opens a web portal where you can chat with the agent.
What's happening:
- adk run runs the agent in CLI mode
- adk web . opens a web UI for interactive testing
```bash
# Run in CLI mode
adk run my_agent

# Or run in web UI mode
adk web
```

## Complete Code

```python
import os
import warnings

from composio import Composio
from composio_google import GoogleProvider
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()
warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

composio_client = Composio(api_key=COMPOSIO_API_KEY, provider=GoogleProvider())

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["conveyor"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url


composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Conveyor operations."
    ),  
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
```

## Conclusion

You've successfully integrated Conveyor with the Google ADK through Composio's MCP Tool Router. Your agent can now interact with Conveyor using natural language commands.
Key takeaways:
- The Tool Router approach dynamically routes requests to the appropriate Conveyor tools
- Environment variables keep your credentials secure and separate from code
- Clear agent instructions reduce tool calling errors
- The ADK web UI provides an interactive interface for testing and development
You can extend this setup by adding more toolkits to the toolkits array in your session configuration.

## How to build Conveyor MCP Agent with another framework

- [Claude Code](https://composio.dev/toolkits/conveyor/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/conveyor/framework/claude-cowork)
- [OpenAI Agents SDK](https://composio.dev/toolkits/conveyor/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/conveyor/framework/claude-agents-sdk)
- [Codex](https://composio.dev/toolkits/conveyor/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/conveyor/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/conveyor/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/conveyor/framework/atomic-agent)
- [LangChain](https://composio.dev/toolkits/conveyor/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/conveyor/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/conveyor/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/conveyor/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/conveyor/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/conveyor/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/conveyor/framework/autogen)

## Related Toolkits

- [0CodeKit](https://composio.dev/toolkits/0codekit) - 0CodeKit is a utility API platform for AI, document, image, and data workflows. Use it to convert, validate, generate, store, and automate data without custom backend code.
- [Airtop](https://composio.dev/toolkits/airtop) - Airtop is a cloud browser platform for AI-powered web automation. Use it to navigate sites, extract data, and run reusable browser workflows.
- [Apilio](https://composio.dev/toolkits/apilio) - Apilio is a home automation platform that lets you connect and control smart devices from different brands. It helps you build flexible automations with complex conditions, schedules, and integrations.
- [Bika.ai](https://composio.dev/toolkits/bika) - Bika.ai is an AI automation database platform for managing spaces, teams, records, automations, and outgoing webhooks. It helps teams organize structured data and automate database-driven workflows in one place.
- [Botster](https://composio.dev/toolkits/botster) - Botster is a web automation service for running configurable data collection bots. Use it to collect structured web data without building and maintaining scrapers yourself.
- [Bouncer](https://composio.dev/toolkits/bouncer) - Bouncer is an email validation platform that verifies the authenticity of email addresses in real-time and batch. It helps boost deliverability and reduce bounce rates for your communications.
- [BrowserAct](https://composio.dev/toolkits/browseract) - BrowserAct is a hosted browser-automation service for running web workflows. Use it to execute repeatable browser tasks with templates, proxies, and APIs.
- [Celigo](https://composio.dev/toolkits/celigo) - Celigo is an integration platform as a service for connecting apps, data, and business workflows. It helps teams automate cross-system processes without building every integration from scratch.
- [CheckFlow](https://composio.dev/toolkits/checkflow) - CheckFlow is a workflow and checklist platform for repeatable processes, tasks, templates, teams, data sets, and automation. Use it to standardize operations, track process execution, and keep teams aligned.
- [CrewAI](https://composio.dev/toolkits/crew_ai) - CrewAI is a platform for running deployed automations and managing AMP control-plane resources. Use it to automate workflows and centrally control SaaS automation resources.
- [Cronfree Time Scheduler](https://composio.dev/toolkits/cronfree_time_scheduler) - Cronfree Time Scheduler is an API-based scheduler for recurring webhook calls. Use it to create and remove timezone-aware schedules without running cron.
- [Crowdin](https://composio.dev/toolkits/crowdin) - Crowdin is a localization management platform that streamlines translation workflows and collaboration. It helps teams centralize multilingual content, boost productivity, and automate translation processes.
- [Databox](https://composio.dev/toolkits/databox) - Databox is a business analytics platform that connects your data from any tool and device. It helps you track KPIs, build dashboards, and discover actionable insights.
- [Detrack](https://composio.dev/toolkits/detrack) - Detrack is a delivery management platform for real-time tracking and proof of delivery. It helps businesses automate notifications and keep customers updated every step of the way.
- [Dnsfilter](https://composio.dev/toolkits/dnsfilter) - Dnsfilter is a cloud-based DNS security and content filtering solution. It helps organizations block online threats and manage safe internet access with ease.
- [EnforcedFlow](https://composio.dev/toolkits/enforcedflow) - EnforcedFlow is a work routing platform for advanced round-robin groups, agent criteria, availability, and email assignments. It helps teams distribute work fairly and quickly using configurable assignment rules.
- [Faraday](https://composio.dev/toolkits/faraday) - Faraday lets you embed AI in workflows across your stack for smarter automation. It boosts your favorite tools with actionable intelligence and seamless integration.
- [Feathery](https://composio.dev/toolkits/feathery) - Feathery is an AI-powered platform for building dynamic data intake forms with advanced logic. It helps teams automate complex workflows and collect structured data with ease.
- [Fillout forms](https://composio.dev/toolkits/fillout_forms) - Fillout forms is an online platform for building and managing forms with a flexible API. It lets you create, distribute, and collect responses from forms with ease.
- [Formcrafts](https://composio.dev/toolkits/formcrafts) - Formcrafts is an online form builder for creating forms, collecting responses, and managing uploads. Use it to centralize form data and files across your organization.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Conveyor MCP?

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

### Can I use Tool Router MCP with Google ADK?

Yes, you can. Google ADK 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 Conveyor tools.

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

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

---
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