# How to integrate Nusii proposals MCP with LangChain

```json
{
  "title": "How to integrate Nusii proposals MCP with LangChain",
  "toolkit": "Nusii proposals",
  "toolkit_slug": "nusii_proposals",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/nusii_proposals/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/nusii_proposals/framework/langchain.md",
  "updated_at": "2026-03-29T06:43:43.501Z"
}
```

## Introduction

This guide walks you through connecting Nusii proposals to LangChain 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 LangChain 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 SDK](https://composio.dev/toolkits/nusii_proposals/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/nusii_proposals/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/nusii_proposals/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/nusii_proposals/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/nusii_proposals/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/nusii_proposals/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/nusii_proposals/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/nusii_proposals/framework/cli)
- [Google ADK](https://composio.dev/toolkits/nusii_proposals/framework/google-adk)
- [Vercel AI SDK](https://composio.dev/toolkits/nusii_proposals/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/nusii_proposals/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/nusii_proposals/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/nusii_proposals/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Connect your Nusii proposals project to Composio
- Create a Tool Router MCP session for Nusii proposals
- Initialize an MCP client and retrieve Nusii proposals tools
- Build a LangChain agent that can interact with Nusii proposals
- Set up an interactive chat interface for testing

## What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.
Key features include:
- Agent Framework: Build agents that can use tools and make decisions
- MCP Integration: Connect to external services through Model Context Protocol adapters
- Memory Management: Maintain conversation history across interactions
- Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

## 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.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `NUSII_PROPOSALS_ARCHIVE_PROPOSAL` | Archive Proposal | Tool to archive a specific proposal in Nusii. Use when you need to archive a proposal that is no longer active. |
| `NUSII_PROPOSALS_CREATE_CLIENT` | Create Client | Tool to create a new client in Nusii Proposals. Use when you need to add a client with their contact and business details. Returns the created client's information including unique identifier. |
| `NUSII_PROPOSALS_CREATE_LINE_ITEM` | Create Line Item | Tool to create a line item within a proposal section. Use when you need to add a cost item to a specific section of a proposal. |
| `NUSII_PROPOSALS_CREATE_PROPOSAL` | Create Proposal | Tool to create a new proposal in Nusii. Use when you need to initialize a proposal with title, client information, and optional configuration settings. |
| `NUSII_PROPOSALS_CREATE_SECTION` | Create Section | Tool to create a section for a proposal or template in Nusii Proposals. Use when you need to add a new section to a proposal or template. |
| `NUSII_PROPOSALS_CREATE_WEBHOOK_ENDPOINT` | Create Webhook Endpoint | Tool to create a webhook endpoint to subscribe to Nusii events. Use when you need to register a new webhook for receiving event notifications. |
| `NUSII_PROPOSALS_DELETE_A_CLIENT` | Delete a client | Tool to delete a specific client from Nusii account. Use when you need to permanently remove a client record. |
| `NUSII_PROPOSALS_DELETE_LINE_ITEM` | Delete Line Item | Tool to delete a line item from Nusii. Use when you need to remove a specific line item by its ID. |
| `NUSII_PROPOSALS_DELETE_A_PROPOSAL` | Delete a proposal | Tool to delete a proposal from the system. Use when you need to permanently remove a proposal by its ID. |
| `NUSII_PROPOSALS_DELETE_A_SECTION` | Delete a section | Tool to delete a specific section from Nusii. Use when you need to remove a section from a proposal. Returns the deleted section data for confirmation purposes. |
| `NUSII_PROPOSALS_DELETE_WEBHOOK_ENDPOINT` | Delete Webhook Endpoint | Tool to delete a specific webhook endpoint from the system. Use when you need to remove a webhook endpoint. |
| `NUSII_PROPOSALS_GET_ACCOUNT_ME` | Get Account Me | Tool to retrieve authenticated user's personal account information and settings. Use to get current account details including company info, currency, locale, and contact information. |
| `NUSII_PROPOSALS_GET_CLIENT` | Get Client | Tool to retrieve a single client from Nusii using their unique identifier. Use when you need to fetch detailed information about a specific client including contact details, business information, and preferences. |
| `NUSII_PROPOSALS_GET_PROPOSAL` | Get Proposal | Tool to retrieve a single proposal with complete details and sections. Use when you need to fetch detailed information about a specific proposal. |
| `NUSII_PROPOSALS_GET_SECTION` | Get Section | Tool to retrieve a single section from a proposal or template in Nusii. Use when you need detailed information about a specific section including title, content, pricing, and metadata. |
| `NUSII_PROPOSALS_GET_WEBHOOK_ENDPOINT` | Get Webhook Endpoint | Tool to retrieve a single webhook endpoint configuration. Use when you need to get details about a specific webhook endpoint including its target URL and subscribed events. |
| `NUSII_PROPOSALS_LIST_CLIENTS` | List Clients | Tool to retrieve all clients associated with the account. Use when you need to list or browse clients with pagination support. |
| `NUSII_PROPOSALS_LIST_LINE_ITEMS` | List Line Items | Tool to retrieve all line items from Nusii Proposals with pagination support. Use when you need to list or browse line items in proposals. |
| `NUSII_PROPOSALS_LIST_PROPOSAL_ACTIVITIES` | List Proposal Activities | Tool to retrieve all proposal activities with optional filtering by proposal or client ID. Use when you need to track interactions with proposals such as views, sends, or acceptances. Supports pagination via page and per parameters. |
| `NUSII_PROPOSALS_LIST_PROPOSALS` | List Proposals | Tool to retrieve all proposals from your Nusii account with pagination and filtering options. Use when you need to browse proposals or filter by status. |
| `NUSII_PROPOSALS_LIST_SECTION_LINE_ITEMS` | List Section Line Items | Tool to retrieve all line items from a specific section. Use when you need to get details about line items including pricing, quantities, and cost types within a section. Note: This endpoint does not support pagination. |
| `NUSII_PROPOSALS_LIST_SECTIONS` | List Sections | Tool to retrieve all sections with optional filtering for proposals or templates. Use when you need to list sections or filter by proposal_id or template_id. |
| `NUSII_PROPOSALS_LIST_THEMES` | List Themes | Tool to retrieve all available themes for proposals in Nusii. Use when you need to browse available theme options or select a theme for a proposal. |
| `NUSII_PROPOSALS_LIST_USERS` | List Users | Tool to retrieve all users in paginated format. Use when you need to list users in the Nusii system. Supports pagination via page and per parameters. |
| `NUSII_PROPOSALS_LIST_WEBHOOK_ENDPOINTS` | List Webhook Endpoints | Tool to retrieve all webhook endpoints configured for your Nusii account. Use when you need to view all configured webhook subscriptions. Supports pagination via page and per parameters. |
| `NUSII_PROPOSALS_UPDATE_CLIENT` | Update Client | Tool to update an existing client's information in Nusii. Use when you need to modify client details such as contact information, business details, or preferences. |
| `NUSII_PROPOSALS_UPDATE_LINE_ITEM` | Update Line Item | Tool to update an existing line item in Nusii proposals. Use when modifying line item details such as name, amount, cost type, or position. All update parameters are optional - only include the fields you want to change. |
| `NUSII_PROPOSALS_UPDATE_PROPOSAL` | Update Proposal | Tool to update an existing proposal in Nusii. Use when you need to modify proposal details like title, client, expiration date, or display settings. |
| `NUSII_PROPOSALS_UPDATE_SECTION` | Update Section | Tool to update an existing section in a proposal or template. Use when you need to modify section content, settings, or display properties. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Nusii proposals MCP server is an implementation of the Model Context Protocol that connects your AI agent to Nusii proposals. It provides structured and secure access so your agent can perform Nusii proposals operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

No description provided.

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

```typescript
npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your requests to Composio's API
- COMPOSIO_USER_ID identifies the user for session management
- OPENAI_API_KEY enables access to OpenAI's language models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

No description provided.
```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
```

### 5. Initialize Composio client

What's happening:
- We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
- Creating a Composio instance that will manage our connection to Nusii proposals tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
```

```typescript
const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
```

### 6. Create a Tool Router session

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
- This approach allows the agent to dynamically load and use Nusii proposals tools as needed
```python
# Create Tool Router session for Nusii proposals
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['nusii_proposals']
)

url = session.mcp.url
```

```typescript
const session = await composio.create(
    userId as string,
    {
        toolkits: ['nusii_proposals']
    }
);

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "nusii_proposals-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
```

```typescript
const client = new MultiServerMCPClient({
    "nusii_proposals-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Nusii proposals related question or task to the agent.\n")

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ['exit', 'quit', 'bye']:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
```

```typescript
let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Nusii proposals related question or task to the agent.\n");

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
```

### 9. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
```

## Complete Code

```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['nusii_proposals']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "nusii_proposals-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Nusii proposals related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['nusii_proposals']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "nusii_proposals-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Nusii proposals related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
```

## Conclusion

You've successfully built a LangChain agent that can interact with Nusii proposals through Composio's Tool Router.
Key features of this implementation:
- Dynamic tool loading through Composio's Tool Router
- Conversation history maintenance for context-aware responses
- Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## How to build Nusii proposals MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/nusii_proposals/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/nusii_proposals/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/nusii_proposals/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/nusii_proposals/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/nusii_proposals/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/nusii_proposals/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/nusii_proposals/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/nusii_proposals/framework/cli)
- [Google ADK](https://composio.dev/toolkits/nusii_proposals/framework/google-adk)
- [Vercel AI SDK](https://composio.dev/toolkits/nusii_proposals/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/nusii_proposals/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/nusii_proposals/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/nusii_proposals/framework/crew-ai)

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- [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place.
- [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place.
- [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives.
- [Boxhero](https://composio.dev/toolkits/boxhero) - Boxhero is a cloud-based inventory management platform for SMBs, offering real-time updates, barcode scanning, and team collaboration. It helps businesses streamline stock tracking and analytics for smarter inventory decisions.
- [Breathe HR](https://composio.dev/toolkits/breathehr) - Breathe HR is cloud-based HR software for SMEs to manage employee data, absences, and performance. It simplifies HR admin, making it easy to keep employee records accurate and up to date.
- [Breeze](https://composio.dev/toolkits/breeze) - Breeze is a project management platform designed to help teams plan, track, and collaborate on projects. It streamlines workflows and keeps everyone on the same page.
- [Bugherd](https://composio.dev/toolkits/bugherd) - Bugherd is a visual feedback and bug tracking tool for websites. It helps teams and clients report website issues directly on live sites for faster fixes.
- [Canny](https://composio.dev/toolkits/canny) - Canny is a platform for managing customer feedback and feature requests. It helps teams prioritize product decisions based on real user insights.
- [Chmeetings](https://composio.dev/toolkits/chmeetings) - Chmeetings is a church management platform for events, members, donations, and volunteers. It streamlines church operations and improves community engagement.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Nusii proposals MCP?

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.

### Can I use Tool Router MCP with LangChain?

Yes, you can. LangChain 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.

### Can I manage the permissions and scopes for Nusii proposals while using Tool Router?

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.

### 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 Nusii proposals data and credentials are handled as safely as possible.

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