How to integrate Nusii proposals MCP with Pydantic AI

This guide walks you through connecting Nusii proposals to Pydantic AI using the Composio tool router. By the end, you'll have a working Nusii proposals agent that can create a new proposal for acme corp, send a follow-up email for pending proposal, list all proposals sent in the last month through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Nusii proposals account through Composio's Nusii proposals MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Nusii proposals is proposal software for creating, sending, and managing client proposals online. It streamlines the proposal process, saving you time and impressing clients.

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Introduction

This guide walks you through connecting Nusii proposals to Pydantic AI using the Composio tool router. By the end, you'll have a working Nusii proposals agent that can create a new proposal for acme corp, send a follow-up email for pending proposal, list all proposals sent in the last month through natural language commands.

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

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

Also integrate Nusii proposals with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

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

The Nusii proposals MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Nusii proposals account. It provides structured and secure access so your agent can perform Nusii proposals operations on your behalf.

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

Archive Proposal

Tool to archive a specific proposal in Nusii.

Create Client

Tool to create a new client in Nusii Proposals.

Create Line Item

Tool to create a line item within a proposal section.

Create Proposal

Tool to create a new proposal in Nusii.

Create Section

Tool to create a section for a proposal or template in Nusii Proposals.

Create Webhook Endpoint

Tool to create a webhook endpoint to subscribe to Nusii events.

Delete a client

Tool to delete a specific client from Nusii account.

Delete Line Item

Tool to delete a line item from Nusii.

Delete a proposal

Tool to delete a proposal from the system.

Delete a section

Tool to delete a specific section from Nusii.

Delete Webhook Endpoint

Tool to delete a specific webhook endpoint from the system.

Get Account Me

Tool to retrieve authenticated user's personal account information and settings.

Get Client

Tool to retrieve a single client from Nusii using their unique identifier.

Get Proposal

Tool to retrieve a single proposal with complete details and sections.

Get Section

Tool to retrieve a single section from a proposal or template in Nusii.

Get Webhook Endpoint

Tool to retrieve a single webhook endpoint configuration.

List Clients

Tool to retrieve all clients associated with the account.

List Line Items

Tool to retrieve all line items from Nusii Proposals with pagination support.

List Proposal Activities

Tool to retrieve all proposal activities with optional filtering by proposal or client ID.

List Proposals

Tool to retrieve all proposals from your Nusii account with pagination and filtering options.

List Section Line Items

Tool to retrieve all line items from a specific section.

List Sections

Tool to retrieve all sections with optional filtering for proposals or templates.

List Themes

Tool to retrieve all available themes for proposals in Nusii.

List Users

Tool to retrieve all users in paginated format.

List Webhook Endpoints

Tool to retrieve all webhook endpoints configured for your Nusii account.

Update Client

Tool to update an existing client's information in Nusii.

Update Line Item

Tool to update an existing line item in Nusii proposals.

Update Proposal

Tool to update an existing proposal in Nusii.

Update Section

Tool to update an existing section in a proposal or template.

FRAMEWORKS

How to build Nusii proposals MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Nusii proposals MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Nusii proposals MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Nusii proposals MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Nusii proposals MCP with Claude Cowork

Codex logo

Codex

Use Nusii proposals MCP with Codex

OpenClaw logo

OpenClaw

Use Nusii proposals MCP with OpenClaw

Hermes logo

Hermes

Use Nusii proposals MCP with Hermes

CLI logo

CLI

Use Nusii proposals MCP with CLI

Google ADK logo

Google ADK

Use Nusii proposals MCP with Google ADK

LangChain logo

LangChain

Use Nusii proposals MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Nusii proposals MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Nusii proposals MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Nusii proposals MCP with LlamaIndex

CrewAI logo

CrewAI

Use Nusii proposals MCP with CrewAI

FAQ

Frequently asked questions

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

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

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