How to integrate Bika.ai MCP with Google ADK

This guide walks you through connecting Bika.ai to Google ADK using the Composio tool router. By the end, you'll have a working Bika.ai agent that can list records from bika.ai database, create new team task record, check failed bika.ai automation runs through natural language commands. This guide will help you understand how to give your Google ADK agent real control over a Bika.ai account through Composio's Bika.ai MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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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.

8 Tools

Introduction

This guide walks you through connecting Bika.ai to Google ADK using the Composio tool router. By the end, you'll have a working Bika.ai agent that can list records from bika.ai database, create new team task record, check failed bika.ai automation runs through natural language commands.

This guide will help you understand how to give your Google ADK agent real control over a Bika.ai account through Composio's Bika.ai MCP server.

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

Also integrate Bika.ai with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLILangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get a Bika.ai account set up and connected to Composio
  • Install the Google ADK and Composio packages
  • Create a Composio Tool Router session for Bika.ai
  • Build an agent that connects to Bika.ai through MCP
  • Interact with Bika.ai 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 Bika.ai MCP server, and what's possible with it?

The Bika.ai MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Bika.ai account. It provides structured and secure access to your spaces, databases, schemas, and records, so your agent can discover resources, inspect database structures, retrieve records, create records, and update or delete records on your behalf.

  • Space and resource discovery: Have your agent list available spaces and find databases and automations by name, type, or location.
  • Database structure review: Let the agent inspect a database's fields, views, and metadata before working with its records.
  • Record search and retrieval: Instruct your agent to list records from a database, select relevant fields, or fetch a specific record.
  • Record creation and updates: Direct your agent to add new database records or update fields across several existing records at once.
  • Record cleanup: Have your agent permanently delete selected records that are outdated, duplicated, or no longer needed.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • A Google API key for Gemini models
  • A Composio account and API key
  • Python 3.9 or later installed
  • Basic familiarity with Python
2

Getting API Keys for Google and Composio

Google API Key
  • Go to Google AI Studio 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.
  • 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.
3

Install dependencies

bash
pip install google-adk composio python-dotenv

Inside your virtual environment, install the required packages.

What's happening:

  • google-adk is Google's Agents Development Kit
  • composio connects your agent to Bika.ai via MCP
  • python-dotenv loads environment variables
4

Set up ADK project

bash
adk create my_agent

Set up a new Google ADK project.

What's happening:

  • This creates an agent folder with a root agent file and .env file
5

Set environment variables

bash
GOOGLE_API_KEY=your-google-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id-or-email

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
6

Import modules and validate environment

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.")
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
7

Create Composio client and Tool Router session

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)

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

COMPOSIO_MCP_URL = composio_session.mcp.url,
print(f"Composio MCP URL: {COMPOSIO_MCP_URL}")
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
8

Set up the McpToolset and create the Agent

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 Bika.ai operations."
    ),
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
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
9

Run the agent

bash
# Run in CLI mode
adk run my_agent

# Or run in web UI mode
adk web

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

Complete Code

Here's the complete code to get you started with Bika.ai and Google ADK:

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=["bika"],
)

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 Bika.ai operations."
    ),  
    tools=[composio_toolset],
)

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

Conclusion

You've successfully integrated Bika.ai with the Google ADK through Composio's MCP Tool Router. Your agent can now interact with Bika.ai using natural language commands.

Key takeaways:

  • The Tool Router approach dynamically routes requests to the appropriate Bika.ai 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.

TOOLS

Supported Tools

Every Bika.ai action and event your agent gets out of the box.

Create Records

Create one to ten records in a Bika database in one request and return every created record ID and field value.

Delete Records

Permanently delete one to ten explicitly identified records from a Bika database and return a deletion result for each ID.

Get Database Schema

Get a Bika database's metadata, views, and field definitions, including the field IDs needed to read and write records by ID.

Get Record

Get one Bika record by ID, with field values keyed by field name or field ID.

List Nodes

List the nodes in a Bika space so an agent can discover database and automation resource IDs by name, type, and path.

List Records

Return one cursor-controlled page of records from a Bika database, optionally selecting specific fields by name or ID.

List Spaces

List spaces available to the connected Bika account and return the space IDs needed by database tools.

Update Records

Update fields on one to ten existing Bika records in one request and return the updated records.

FRAMEWORKS

How to build Bika.ai MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Bika.ai MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Bika.ai MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Bika.ai MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Bika.ai MCP with Claude Cowork

Codex logo

Codex

Use Bika.ai MCP with Codex

OpenClaw logo

OpenClaw

Use Bika.ai MCP with OpenClaw

Hermes logo

Hermes

Use Bika.ai MCP with Hermes

CLI logo

CLI

Use Bika.ai MCP with CLI

LangChain logo

LangChain

Use Bika.ai MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Bika.ai MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Bika.ai MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Bika.ai MCP with LlamaIndex

CrewAI logo

CrewAI

Use Bika.ai MCP with CrewAI

FAQ

Frequently asked questions

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

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 Bika.ai tools.

Yes, absolutely. You can configure which Bika.ai scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Bika.ai data and credentials are handled as safely as possible.

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