# How to integrate Docker hub MCP with Pydantic AI ```json { "title": "How to integrate Docker hub MCP with Pydantic AI", "toolkit": "Docker hub", "toolkit_slug": "docker_hub", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/docker_hub/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/docker_hub/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:09:03.978Z" } ``` ## Introduction This guide walks you through connecting Docker hub to Pydantic AI using the Composio tool router. By the end, you'll have a working Docker hub agent that can create a new docker hub repository, add a member to your docker organization, delete an old image from a repository through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Docker hub account through Composio's Docker hub MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Docker hub with - [OpenAI Agents SDK](https://composio.dev/toolkits/docker_hub/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/docker_hub/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/docker_hub/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/docker_hub/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/docker_hub/framework/codex) - [OpenClaw](https://composio.dev/toolkits/docker_hub/framework/openclaw) - [Hermes](https://composio.dev/toolkits/docker_hub/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/docker_hub/framework/cli) - [Google ADK](https://composio.dev/toolkits/docker_hub/framework/google-adk) - [LangChain](https://composio.dev/toolkits/docker_hub/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/docker_hub/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/docker_hub/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/docker_hub/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/docker_hub/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up your Composio API key and User ID - How to create a Composio Tool Router session for Docker hub - How to attach an MCP Server to a Pydantic AI agent - How to stream responses and maintain chat history - How to build a simple REPL-style chat interface to test your Docker hub workflows ## What is Pydantic AI? Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications. Key features include: - Type Safety: Built on Pydantic for automatic data validation - MCP Support: Native support for Model Context Protocol servers - Streaming: Built-in support for streaming responses - Async First: Designed for async/await patterns ## What is the Docker hub MCP server, and what's possible with it? The Docker hub MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Docker Hub account. It provides structured and secure access to your container repositories and organizations, so your agent can perform actions like creating repositories, managing organization members, deleting images, setting up webhooks, and cleaning up tags on your behalf. - Repository and image management: Let your agent create new Docker Hub repositories, delete existing ones, and remove specific images or tags as needed. - Organization and team automation: Easily add members to organizations, create new Docker Hub organizations, or delete organizations and teams directly from your workflows. - Webhook configuration: Set up or remove repository webhooks to automate external integrations and keep your CI/CD pipelines in sync. - Tag and resource cleanup: Direct your agent to delete outdated tags or unused resources, helping you maintain a tidy container registry. - Secure role management: Invite users with specific roles to your organizations, ensuring the right access for collaborators and teams. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `DOCKER_HUB_ADD_ORG_MEMBER` | Add Organization Member | Invite a user to join a Docker Hub organization. Sends an invitation email to the specified user (by Docker ID or email). The user must accept the invitation to become a member. Requires owner or admin privileges on the target organization. | | `DOCKER_HUB_CREATE_ORGANIZATION` | Create Docker Hub Organization | Create a new Docker Hub organization. Note: This endpoint requires JWT authentication obtained via /v2/users/login and may have restricted access. | | `DOCKER_HUB_CREATE_REPOSITORY` | Create Docker Hub Repository | Creates a new Docker Hub repository under the specified namespace. Use this to programmatically create public or private repositories for storing Docker images. Requires proper authentication with write permissions to the namespace. | | `DOCKER_HUB_CREATE_WEBHOOK` | Create Docker Hub Webhook | Create a webhook on a Docker Hub repository to receive notifications on image push events. This is a two-step process: 1. Create the webhook with a name 2. Add a hook URL to the webhook Requires admin permissions on the repository. | | `DOCKER_HUB_DELETE_IMAGE` | Delete Repository Images | Delete one or more images from your Docker Hub namespace using the bulk delete API. IMPORTANT REQUIREMENTS: - You must own the namespace (your username or an organization you admin) - You cannot delete images from 'library' (official Docker images) - Images are identified by SHA256 digest (get from LIST_IMAGES action) USAGE: 1. First use LIST_IMAGES to get image digests for your repository 2. Then call this action with the namespace, repository, and digest(s) Example: DELETE_IMAGE( namespace="myusername", manifests=[{"repository": "myapp", "digest": "sha256:abc123..."}] ). WARNING: Deletion is permanent and irreversible — obtain explicit user confirmation before calling this action. | | `DOCKER_HUB_DELETE_ORGANIZATION` | Delete Docker Hub Organization | Permanently deletes a Docker Hub organization. Requires owner permissions on the organization. This action is idempotent - deleting a non-existent organization returns success (404 treated as success). WARNING: Deletion is irreversible and removes all associated repositories, teams, and members. | | `DOCKER_HUB_DELETE_REPOSITORY` | Delete Docker Hub Repository | Permanently deletes a Docker Hub repository and all its images/tags. WARNING: This action is irreversible. All images, tags, and metadata will be permanently removed. This operation is idempotent - deleting a non-existent repository returns success. You must have admin/owner permissions on the repository to delete it. | | `DOCKER_HUB_DELETE_TAG` | Delete Repository Tag | Permanently delete a specific tag from a Docker Hub repository. Requirements: - Must have write/admin access to the repository - The namespace must be your username or an organization you belong to - This action is irreversible - the tag will be permanently removed Note: Cannot delete tags from official Docker Hub images (library namespace). | | `DOCKER_HUB_DELETE_TEAM` | Delete Docker Hub Team | Permanently deletes a team from a Docker Hub organization. This operation is idempotent - deleting a non-existent team will succeed silently. Requires organization admin permissions. Use DOCKER_HUB_LIST_TEAMS to find available teams before deletion. | | `DOCKER_HUB_DELETE_WEBHOOK` | Delete Docker Hub repository webhook | Deletes a specific webhook from a Docker Hub repository. Use this tool to remove webhook configurations from repositories you own or have admin access to. This is useful for cleaning up outdated, misconfigured, or no longer needed webhooks. Prerequisites: - You must have admin access to the repository - The repository and webhook must exist - Use the list webhooks action first to get the webhook ID Returns a success message if the webhook was deleted, or an error if the webhook doesn't exist or you lack permission to delete it. | | `DOCKER_HUB_GET_IMAGE` | Get Docker Hub Image | Retrieve details about a specific platform-specific image variant by its digest. This tool searches through repository tags to find and return metadata for an image matching the specified SHA256 digest. Returns architecture, OS, size, status, and timestamps. Use LIST_IMAGES first to discover available digests, then use this tool to get details about a specific image variant. Example: GET_IMAGE(namespace="library", repository="ubuntu", digest="sha256:a4453623f2f8319cfff65c43da9be80fe83b1a7ce689579b475867d69495b782") | | `DOCKER_HUB_GET_REPOSITORY` | Get Docker Hub Repository | Retrieves detailed information about a specific Docker Hub repository. Use this to get repository metadata including description, star/pull counts, permissions, and configuration. Works with both public and private repositories (authentication required for private repos). | | `DOCKER_HUB_GET_TAG` | Get Docker Hub Tag | Tool to retrieve details of a specific Docker Hub repository tag. Use after confirming the namespace, repository, and tag name. | | `DOCKER_HUB_GET_TEAM` | Get Docker Hub Team | Retrieve details of a specific team (group) within a Docker Hub organization. Returns the team's ID, name, and description. Requires organization membership with appropriate permissions to view team details. | | `DOCKER_HUB_GET_WEBHOOK` | Get Docker Hub Webhook | Retrieves details of a specific Docker Hub webhook by its ID. Use this tool when you need to inspect an existing webhook's configuration, including its target URL, configured events, and active status. You must have admin or write access to the repository to retrieve webhook details. Prerequisites: - You must have admin or write access to the repository - The webhook ID must exist (can be obtained from the list webhooks action) Returns the webhook's ID, name, target URL, events, active status, and timestamps. | | `DOCKER_HUB_LIST_ORG_ACCESS_TOKENS` | List Organization Access Tokens | Tool to list all organization access tokens for a Docker Hub organization. Use when you need to view or audit access tokens associated with an organization. Requires appropriate organization permissions to view tokens. | | `DOCKER_HUB_LIST_ORGANIZATIONS` | List Docker Hub Organizations | List Docker Hub organizations that the authenticated user belongs to. Returns a paginated list of organizations with details like name, company, and badge status; some metadata fields may be absent — use org name for follow-up detail calls when complete metadata is required. An empty result is valid and indicates the user belongs to no organizations. Use this to discover which organizations a user has access to before performing org-specific operations. | | `DOCKER_HUB_LIST_ORG_MEMBERS` | List Docker Hub Organization Members | Lists members of a Docker Hub organization with their roles and details. Use this tool to: - Audit organization membership - View member roles (owner, member) - Check team assignments for members - Export organization member lists Requirements: - You must have access to the organization (owner or member role) - Authentication via Personal Access Token (PAT) which is exchanged for JWT Note: This endpoint requires organization-level access and proper authentication. | | `DOCKER_HUB_LIST_REPOSITORIES` | List Docker Hub Repositories | Tool to list repositories under a namespace. Use when you need to enumerate repositories within a specific Docker Hub namespace, with optional filtering and pagination. | | `DOCKER_HUB_LIST_TEAM_MEMBERS` | List Team Members | List members of a Docker Hub team (group) within an organization. Returns a paginated list of team members with their user details. Requires organization membership with appropriate permissions to view team members. | | `DOCKER_HUB_LIST_TEAMS` | List Organization Teams | List all teams (groups) within a Docker Hub organization. Requires organization membership with appropriate permissions. Teams in Docker Hub are called 'groups' in the API. | | `DOCKER_HUB_LIST_WEBHOOKS` | List Docker Hub repository webhooks | Lists all webhooks configured for a Docker Hub repository. Use this tool to retrieve webhook configurations for repositories you own or have admin access to. Webhooks are triggered when specific events occur in the repository (e.g., image push). Prerequisites: - You must have admin or write access to the repository - The repository must exist under the specified namespace Returns a paginated list of webhooks with their IDs, names, target URLs, configured events, and status. | | `DOCKER_HUB_REMOVE_ORG_MEMBER` | Remove Organization Member | Remove a member from a Docker Hub organization. This action revokes the user's access to the organization and all its repositories. Requires organization admin privileges. The operation is idempotent - removing a non-member will not cause an error. | | `DOCKER_HUB_REMOVE_TEAM_MEMBER` | Remove Team Member | Remove a user from a Docker Hub organization team (group). Use this action to revoke a user's membership from a specific team. The operation is idempotent - removing a user who is not a member will succeed silently. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Docker hub MCP server is an implementation of the Model Context Protocol that connects your AI agent to Docker hub. It provides structured and secure access so your agent can perform Docker hub 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: - Python 3.9 or higher - A Composio account with an active API key - Basic familiarity with Python and async programming ### 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). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies Install the required libraries. What's happening: - composio connects your agent to external SaaS tools like Docker hub - pydantic-ai lets you create structured AI agents with tool support - python-dotenv loads your environment variables securely from a .env file ```bash pip install composio pydantic-ai python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your agent to Composio's API - USER_ID associates your session with your account for secure tool access - OPENAI_API_KEY to access OpenAI LLMs ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key ``` ### 4. Import dependencies What's happening: - We load environment variables and import required modules - Composio manages connections to Docker hub - MCPServerStreamableHTTP connects to the Docker hub MCP server endpoint - Agent from Pydantic AI lets you define and run the AI assistant ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() ``` ### 5. Create a Tool Router Session What's happening: - We're creating a Tool Router session that gives your agent access to Docker hub tools - The create method takes the user ID and specifies which toolkits should be available - The returned session.mcp.url is the MCP server URL that your agent will use ```python async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Docker hub composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["docker_hub"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") ``` ### 6. Initialize the Pydantic AI Agent What's happening: - The MCP client connects to the Docker hub endpoint - The agent uses GPT-5 to interpret user commands and perform Docker hub operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent docker_hub_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[docker_hub_mcp], instructions=( "You are a Docker hub assistant. Use Docker hub tools to help users " "with their requests. Ask clarifying questions when needed." ), ) ``` ### 7. Build the chat interface What's happening: - The agent reads input from the terminal and streams its response - Docker hub API calls happen automatically under the hood - The model keeps conversation history to maintain context across turns ```python # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Docker hub.\n") while True: user_input = input("You: ").strip() if user_input.lower() in {"exit", "quit", "bye"}: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() ``` ### 8. Run the application What's happening: - The asyncio loop launches the agent and keeps it running until you exit ```python if __name__ == "__main__": asyncio.run(main()) ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Docker hub composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["docker_hub"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") # Attach the MCP server to a Pydantic AI Agent docker_hub_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[docker_hub_mcp], instructions=( "You are a Docker hub assistant. Use Docker hub tools to help users " "with their requests. Ask clarifying questions when needed." ), ) # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Docker hub.\n") while True: user_input = input("You: ").strip() if user_input.lower() in {"exit", "quit", "bye"}: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You've built a Pydantic AI agent that can interact with Docker hub through Composio's Tool Router. With this setup, your agent can perform real Docker hub actions through natural language. You can extend this further by: - Adding other toolkits like Gmail, HubSpot, or Salesforce - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Docker hub for workflow automation) This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations. ## How to build Docker hub MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/docker_hub/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/docker_hub/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/docker_hub/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/docker_hub/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/docker_hub/framework/codex) - [OpenClaw](https://composio.dev/toolkits/docker_hub/framework/openclaw) - [Hermes](https://composio.dev/toolkits/docker_hub/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/docker_hub/framework/cli) - [Google ADK](https://composio.dev/toolkits/docker_hub/framework/google-adk) - [LangChain](https://composio.dev/toolkits/docker_hub/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/docker_hub/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/docker_hub/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/docker_hub/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/docker_hub/framework/crew-ai) ## Related Toolkits - [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure. - [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms. - [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. - [Algolia](https://composio.dev/toolkits/algolia) - Algolia is a hosted search API that powers lightning-fast, relevant search experiences for web and mobile apps. It helps developers deliver instant, typo-tolerant, and scalable search without complex infrastructure. - [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 Docker hub MCP? With a standalone Docker hub MCP server, the agents and LLMs can only access a fixed set of Docker hub tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Docker hub and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Pydantic AI? Yes, you can. Pydantic AI 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 Docker hub tools. ### Can I manage the permissions and scopes for Docker hub while using Tool Router? Yes, absolutely. You can configure which Docker hub 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 Docker hub data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)