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How to integrate Ignisign MCP with Pydantic AI

Connect Pydantic AI to Ignisign MCP. Start a new signature request for a contract, add a new signer to this application, and more using natural language, with authentication handled for you.

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Ignisign is an electronic signature platform for secure online document signing and management. Streamline agreements and digital paperwork with advanced workflow tools.

32 Tools

Introduction

This guide walks you through connecting Ignisign to Pydantic AI using the Composio tool router. By the end, you'll have a working Ignisign agent that can create and publish signature requests, add signers, upload documents, download signed documents, and manage webhooks through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Ignisign account through Composio's Ignisign MCP server.

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

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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 Ignisign
  • 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 Ignisign 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 Ignisign MCP server, and what's possible with it?

The Ignisign MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Ignisign account. It provides structured and secure access to your electronic signature workflows, so your agent can perform actions like sending signature requests, managing documents, onboarding signers, and handling signature operations on your behalf.

  • Automated signature request management: Let your agent create, cancel, or delete signature requests, streamlining the entire e-signature process from start to finish.
  • Document initialization and deletion: Have the agent initialize new documents for signing or permanently delete documents when they're no longer needed.
  • Signer onboarding and removal: Effortlessly add new signers to your application environment or remove existing ones as your workflows change.
  • Webhook endpoint management: Allow your agent to create or delete webhook endpoints, enabling real-time notifications and integrations for signature events.
  • Application context retrieval: Fetch global application settings and environment configurations so your agent always works with up-to-date information.

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 Ignisign
  • 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 Ignisign
  • MCPServerStreamableHTTP connects to the Ignisign 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 Ignisign
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["ignisign"],
    )
    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 Ignisign 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
ignisign_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[ignisign_mcp],
    instructions=(
        "You are a Ignisign assistant. Use Ignisign tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Ignisign endpoint
  • The agent uses GPT-5 to interpret user commands and perform Ignisign 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 Ignisign.\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
  • Ignisign 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 Ignisign 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 Ignisign
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["ignisign"],
    )
    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
    ignisign_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[ignisign_mcp],
        instructions=(
            "You are a Ignisign assistant. Use Ignisign 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 Ignisign.\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 Ignisign through Composio's Tool Router. With this setup, your agent can perform real Ignisign 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 + Ignisign 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 Ignisign action and event your agent gets out of the box.

Ignisign API Authentication

Tool to authenticate an application over Ignisign API and retrieve a JWT.

Cancel Signature Request

Cancel (close) a signature request to terminate it.

Initialize Document

Tool to initialize a document for a signature request.

Create Signer

Tool to create a new signer.

Create Webhook Endpoint

Tool to create a new webhook endpoint for an application.

Delete Document

Tool to delete a specific document by its ID.

Delete Ignisign Signature Request

Permanently deletes a signature request from Ignisign by its ID.

Delete Signer

Tool to revoke/delete a signer from an Ignisign application environment.

Delete Webhook Endpoint

Deletes a webhook endpoint by ID.

Get application context

Tool to retrieve the global context of an application.

Get Document Information

Tool to retrieve document metadata by ID.

Get Missing Signer Inputs

Retrieve missing inputs for a signer and profile.

Get Signature Request Details

Tool to retrieve detailed information for a specific signature request.

Get Signature Request Document

Downloads a document's original file.

Get Signature Requests

Retrieves a paginated list of signature requests for a specific Ignisign application and environment.

Get Signed Document

Tool to download the signed document (signature proof) for a signature request.

Get Signer Input Constraints

Tool to get signer input constraints.

Get Signer Inputs

Retrieve available signer input values from a signature request's context.

Get Signer Profile

Retrieve detailed information about a specific signer profile by its ID.

Get Signer Profiles

Retrieve all signer profiles for a specific Ignisign application environment.

Get Webhooks

Retrieves all webhook endpoints configured for a specific Ignisign application environment.

Initialize Ignisign Signature Request

Initialize a new signature request in Ignisign.

List Documents

Tool to retrieve documents linked to a signature request.

Provide Document Content Data JSON

Provides JSON content to an existing document in Ignisign.

Provide Document Content File

Tool to provide file content for a document.

Provide Document Content Private File

Provides private document content by submitting its SHA-256 hash to IgniSign.

Publish Signature Request

Tool to publish a draft signature request.

Search Signers

Tool to search for signers within an application environment with pagination support.

Update Document Information

Tool to update document metadata.

Update Signature Request

Tool to partially update a signature request in DRAFT state.

Update Signer

Updates an existing signer's profile assignment.

Update Webhook Endpoint

Updates an existing webhook endpoint's destination URL and optionally its description.

FRAMEWORKS

How to build Ignisign MCP Agent with another framework

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Claude Code

Use Ignisign MCP with Claude Code

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Claude Cowork

Use Ignisign MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

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Claude Agent SDK logo

Claude Agent SDK

Use Ignisign MCP with Claude Agent SDK

Grok Bot logo

Grok Bot

Use Ignisign MCP with Grok Bot

Codex logo

Codex

Use Ignisign MCP with Codex

OpenClaw logo

OpenClaw

Use Ignisign MCP with OpenClaw

Hermes logo

Hermes

Use Ignisign MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Ignisign MCP with Atomic Agent

Google ADK logo

Google ADK

Use Ignisign MCP with Google ADK

LangChain logo

LangChain

Use Ignisign MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

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Mastra AI logo

Mastra AI

Use Ignisign MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Ignisign MCP with LlamaIndex

CrewAI logo

CrewAI

Use Ignisign MCP with CrewAI

AutoGen logo

AutoGen

Use Ignisign MCP with AutoGen

FAQ

Frequently asked questions

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

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

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