How to integrate Jigsawstack MCP with Google ADK

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Introduction

This guide walks you through connecting Jigsawstack to Google ADK using the Composio tool router. By the end, you'll have a working Jigsawstack agent that can generate a logo from this business idea, analyze customer review sentiment for this product, convert this sales script into an audio file through natural language commands.

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

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

Also integrate Jigsawstack with

TL;DR

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

The Jigsawstack MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Jigsawstack account. It provides structured and secure access to Jigsawstack's suite of custom AI models, so your agent can perform actions like generating images, analyzing sentiment, converting text to speech, and running smart web searches on your behalf.

  • AI-powered image generation: Instantly create custom images from any text prompt, perfect for visual content, ideation, or creative tasks.
  • Text sentiment analysis: Have your agent classify the emotional tone of written content, detecting positive, negative, or neutral sentiment for feedback, moderation, or analytics.
  • Natural text-to-speech synthesis: Convert any text into clear, natural-sounding audio files, enabling voice experiences or accessibility features in your workflows.
  • Enhanced web search with AI summaries: Perform smart, geo-aware web searches and get concise, AI-generated overviews for quick research and information gathering.

Supported Tools & Triggers

Tools
Check Image for NSFW ContentTool to detect NSFW content in images.
Check ProfanityTool to check text for profanity and inappropriate language.
Check SpamTool to perform spam check analysis on text.
Check SpellingTool to check and correct spelling errors in text.
Classify ContentTool to classify text and image datasets using custom labels.
Convert HTML to Image or PDFTool to convert HTML to images (PNG/JPEG/WEBP) or PDF, or capture website screenshots.
Create Embedding V2Tool to generate enhanced vector embeddings with speaker fingerprint support using the v2 model.
Create PredictionTool to forecast time series data using AI-powered prediction.
Create PromptTool to create a new prompt in the Prompt Engine for reusable LLM interactions.
Create Voice CloneTool to create a cloned voice for text-to-speech synthesis.
Detect Objects in ImageTool to recognize and identify objects within an image using computer vision AI.
Extract Data with Vision OCRTool to recognize, describe and retrieve data within images with great accuracy using Vision OCR.
Get Search SuggestionsTool to get real-time search suggestions for a given query.
Get SentimentTool to retrieve sentiment analysis via GET request.
Generate Image from PromptTool to generate images from text prompts.
List PromptsTool to list all prompts stored in the Prompt Engine.
Run Prompt By IDTool to execute a stored prompt using its prompt engine ID.
Scrape WebsiteTool to scrape any website and extract structured data using AI-powered element prompts or CSS selectors.
Sentiment AnalysisTool to analyze text sentiment.
Summarize TextTool to generate concise, intelligent summaries of text or documents with AI.
Text to SpeechTool to convert text to natural-sounding speech.
Translate TextTool to translate text from one language to another.
Web SearchTool to perform AI-powered web search with AI overview and geo-aware results.

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

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

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.

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 Jigsawstack via MCP
  • python-dotenv loads environment variables

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

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

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

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=["jigsawstack"],
)

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

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 Jigsawstack 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

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 Jigsawstack 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=["jigsawstack"],
)

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 Jigsawstack operations."
    ),  
    tools=[composio_toolset],
)

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

Conclusion

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

Key takeaways:

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

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FAQ

What are the differences in Tool Router MCP and Jigsawstack MCP?

With a standalone Jigsawstack MCP server, the agents and LLMs can only access a fixed set of Jigsawstack tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Jigsawstack 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 Jigsawstack tools.

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

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

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