# How to integrate Databox MCP with Google ADK ```json { "title": "How to integrate Databox MCP with Google ADK", "toolkit": "Databox", "toolkit_slug": "databox", "framework": "Google ADK", "framework_slug": "google-adk", "url": "https://composio.dev/toolkits/databox/framework/google-adk", "markdown_url": "https://composio.dev/toolkits/databox/framework/google-adk.md", "updated_at": "2026-03-29T06:29:38.850Z" } ``` ## Introduction This guide walks you through connecting Databox to Google ADK using the Composio tool router. By the end, you'll have a working Databox agent that can get the latest kpi values for q2, generate a weekly trend report for leads, list dashboards with declining performance metrics through natural language commands. This guide will help you understand how to give your Google ADK agent real control over a Databox account through Composio's Databox MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Databox with - [OpenAI Agents SDK](https://composio.dev/toolkits/databox/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/databox/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/databox/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/databox/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/databox/framework/codex) - [OpenClaw](https://composio.dev/toolkits/databox/framework/openclaw) - [Hermes](https://composio.dev/toolkits/databox/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/databox/framework/cli) - [LangChain](https://composio.dev/toolkits/databox/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/databox/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/databox/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/databox/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/databox/framework/crew-ai) ## TL;DR Here's what you'll learn: - Get a Databox account set up and connected to Composio - Install the Google ADK and Composio packages - Create a Composio Tool Router session for Databox - Build an agent that connects to Databox through MCP - Interact with Databox 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 Databox MCP server, and what's possible with it? The Databox MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Databox account. It provides structured and secure access so your agent can perform Databox operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `DATABOX_CREATE_DATASET` | Create Dataset | Tool to create a new dataset in Databox data source. Use when you need to initialize a dataset with a title, data source ID, and primary keys for unique record identification. | | `DATABOX_CREATE_DATA_SOURCE` | Create Data Source | Tool to create a new data source in Databox. Use when you need to create a logical container for datasets within a Databox account. Requires accountId, title, and timezone parameters. | | `DATABOX_DELETE_DATASET` | Delete Dataset | Tool to delete a dataset by ID in Databox. Use when you need to permanently remove a dataset. This operation is irreversible. | | `DATABOX_DELETE_DATA_SOURCE` | Delete Data Source | Tool to delete a data source by ID in Databox. Use when you need to permanently remove a data source. This operation is irreversible and will delete all associated datasets. | | `DATABOX_GET_DATASET_INGESTION_STATUS` | Get Dataset Ingestion Status | Tool to check the status of a specific data ingestion for a dataset. Use when you need to verify whether a data ingestion was successful by providing the dataset ID and ingestion ID returned from the initial POST request. | | `DATABOX_LIST_ACCOUNTS` | List Accounts | Tool to retrieve all Databox accounts accessible to the authenticated user. Use to identify account IDs required for subsequent API operations like data source creation. | | `DATABOX_PUSH_DATA_TO_DATASET_V1` | Push Data to Dataset (V1) | Tool to push data points to a Databox dataset using the v1 API. Use when you need to ingest data records into a specific dataset by providing the dataset ID and an array of records matching the dataset schema. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Databox MCP server is an implementation of the Model Context Protocol that connects your AI agent to Databox. It provides structured and secure access so your agent can perform Databox 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 Databox 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=["databox"], ) 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 Databox 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=["databox"], ) 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 Databox operations." ), tools=[composio_toolset], ) print("\nAgent setup complete. You can now run this agent directly ;)") ``` ## Conclusion You've successfully integrated Databox with the Google ADK through Composio's MCP Tool Router. Your agent can now interact with Databox using natural language commands. Key takeaways: - The Tool Router approach dynamically routes requests to the appropriate Databox 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 Databox MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/databox/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/databox/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/databox/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/databox/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/databox/framework/codex) - [OpenClaw](https://composio.dev/toolkits/databox/framework/openclaw) - [Hermes](https://composio.dev/toolkits/databox/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/databox/framework/cli) - [LangChain](https://composio.dev/toolkits/databox/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/databox/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/databox/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/databox/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/databox/framework/crew-ai) ## Related Toolkits - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [Firecrawl](https://composio.dev/toolkits/firecrawl) - Firecrawl automates large-scale web crawling and data extraction. It helps organizations efficiently gather, index, and analyze content from online sources. - [Tavily](https://composio.dev/toolkits/tavily) - Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [Exa](https://composio.dev/toolkits/exa) - Exa is a data extraction and search platform for gathering and analyzing information from websites, APIs, or databases. It helps teams quickly surface insights and automate data-driven workflows. - [Serpapi](https://composio.dev/toolkits/serpapi) - SerpApi is a real-time API for structured search engine results. It lets you automate SERP data collection, parsing, and analysis for SEO and research. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [Peopledatalabs](https://composio.dev/toolkits/peopledatalabs) - Peopledatalabs delivers B2B data enrichment and identity resolution APIs. Supercharge your apps with accurate, up-to-date business and contact data. - [Snowflake](https://composio.dev/toolkits/snowflake) - Snowflake is a cloud data warehouse built for elastic scaling, secure data sharing, and fast SQL analytics across major clouds. - [Posthog](https://composio.dev/toolkits/posthog) - PostHog is an open-source analytics platform for tracking user interactions and product metrics. It helps teams refine features, analyze funnels, and reduce churn with actionable insights. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place. - [Amplitude](https://composio.dev/toolkits/amplitude) - Amplitude is a digital analytics platform for product and behavioral data insights. It helps teams analyze user journeys and make data-driven decisions quickly. - [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. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Databox MCP? With a standalone Databox MCP server, the agents and LLMs can only access a fixed set of Databox tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Databox 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 Databox tools. ### Can I manage the permissions and scopes for Databox while using Tool Router? Yes, absolutely. You can configure which Databox 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 Databox data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)