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How to integrate Jigsawstack MCP with Pydantic AI

Connect Pydantic AI to Jigsawstack MCP. Generate a logo from this business idea, analyze customer review sentiment for this product, and more using natural language, with authentication handled for you.

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Jigsawstack is a platform providing custom small AI models on scalable infrastructure. It's built for developers who need rapid, efficient deployment of AI-powered features.

23 Tools

Introduction

This guide walks you through connecting Jigsawstack to Pydantic AI using the Composio tool router. By the end, you'll have a working Jigsawstack agent that can scrape websites, run web searches, extract text with vision OCR, translate and summarize text, and generate images from prompts through natural language commands.

This guide will help you understand how to give your Pydantic AI 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

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKCodexOpenClawHermesAtomic AgentGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAIAutoGen

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 Jigsawstack
  • 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 Jigsawstack 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 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.

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:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Jigsawstack
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

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
5

Import dependencies

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()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Jigsawstack
  • MCPServerStreamableHTTP connects to the Jigsawstack MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

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 Jigsawstack
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["jigsawstack"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Jigsawstack 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
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
jigsawstack_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[jigsawstack_mcp],
    instructions=(
        "You are a Jigsawstack assistant. Use Jigsawstack tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Jigsawstack endpoint
  • The agent uses GPT-5 to interpret user commands and perform Jigsawstack operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

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 Jigsawstack.\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()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Jigsawstack API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Jigsawstack and Pydantic AI:

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 Jigsawstack
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["jigsawstack"],
    )
    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
    jigsawstack_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[jigsawstack_mcp],
        instructions=(
            "You are a Jigsawstack assistant. Use Jigsawstack 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 Jigsawstack.\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 Jigsawstack through Composio's Tool Router. With this setup, your agent can perform real Jigsawstack 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 + Jigsawstack for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

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

Check Image for NSFW Content

Tool to detect NSFW content in images.

Check Profanity

Tool to check text for profanity and inappropriate language.

Check Spam

Tool to perform spam check analysis on text.

Check Spelling

Tool to check and correct spelling errors in text.

Classify Content

Tool to classify text and image datasets using custom labels.

Convert HTML to Image or PDF

Tool to convert HTML to images (PNG/JPEG/WEBP) or PDF, or capture website screenshots.

Create Embedding V2

Tool to generate enhanced vector embeddings with speaker fingerprint support using the v2 model.

Create Prediction

Tool to forecast time series data using AI-powered prediction.

Create Prompt

Tool to create a new prompt in the Prompt Engine for reusable LLM interactions.

Create Voice Clone

Tool to create a cloned voice for text-to-speech synthesis.

Detect Objects in Image

Tool to recognize and identify objects within an image using computer vision AI.

Extract Data with Vision OCR

Tool to recognize, describe and retrieve data within images with great accuracy using Vision OCR.

Get Search Suggestions

Tool to get real-time search suggestions for a given query.

Get Sentiment

Tool to retrieve sentiment analysis via GET request.

Generate Image from Prompt

Tool to generate images from text prompts.

List Prompts

List stored Prompt Engine prompts, with optional page and limit parameters.

Run Prompt By ID

Tool to execute a stored prompt using its prompt engine ID.

Scrape Website

Tool to scrape any website and extract structured data using AI-powered element prompts or CSS selectors.

Sentiment Analysis

Tool to analyze text sentiment.

Summarize Text

Tool to generate concise, intelligent summaries of text or documents with AI.

Text to Speech

Tool to convert text to natural-sounding speech.

Translate Text

Tool to translate text from one language to another.

Web Search

Tool to perform AI-powered web search with AI overview and geo-aware results.

FRAMEWORKS

How to build Jigsawstack MCP Agent with another framework

Claude Code logo

Claude Code

Use Jigsawstack MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Jigsawstack MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Jigsawstack MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Jigsawstack MCP with Claude Agent SDK

Codex logo

Codex

Use Jigsawstack MCP with Codex

OpenClaw logo

OpenClaw

Use Jigsawstack MCP with OpenClaw

Hermes logo

Hermes

Use Jigsawstack MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Jigsawstack MCP with Atomic Agent

Google ADK logo

Google ADK

Use Jigsawstack MCP with Google ADK

LangChain logo

LangChain

Use Jigsawstack MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Jigsawstack MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Jigsawstack MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Jigsawstack MCP with LlamaIndex

CrewAI logo

CrewAI

Use Jigsawstack MCP with CrewAI

AutoGen logo

AutoGen

Use Jigsawstack MCP with AutoGen

FAQ

Frequently asked questions

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.

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 Jigsawstack tools.

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.

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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