# How to integrate Nusii proposals MCP with LlamaIndex

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

## Introduction

This guide walks you through connecting Nusii proposals to LlamaIndex 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 LlamaIndex 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)
- [LangChain](https://composio.dev/toolkits/nusii_proposals/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/nusii_proposals/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/nusii_proposals/framework/mastra-ai)
- [CrewAI](https://composio.dev/toolkits/nusii_proposals/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Set your OpenAI and Composio API keys
- Install LlamaIndex and Composio packages
- Create a Composio Tool Router session for Nusii proposals
- Connect LlamaIndex to the Nusii proposals MCP server
- Build a Nusii proposals-powered agent using LlamaIndex
- Interact with Nusii proposals through natural language

## What is LlamaIndex?

LlamaIndex is a data framework for building LLM applications. It provides tools for connecting LLMs to external data sources and services through agents and tools.
Key features include:
- ReAct Agent: Reasoning and acting pattern for tool-using agents
- MCP Tools: Native support for Model Context Protocol
- Context Management: Maintain conversation context across interactions
- Async Support: Built 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.

## 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

Before you begin, make sure you have:
- Python 3.8/Node 16 or higher installed
- A Composio account with the API key
- An OpenAI API key
- A Nusii proposals account and project
- Basic familiarity with async Python/Typescript

### 1. Getting API Keys for OpenAI, Composio, and Nusii proposals

No description provided.

### 2. Installing dependencies

No description provided.
```python
pip install composio-llamaindex llama-index llama-index-llms-openai llama-index-tools-mcp python-dotenv
```

```typescript
npm install @composio/llamaindex @llamaindex/openai @llamaindex/tools @llamaindex/workflow dotenv
```

### 3. Set environment variables

Create a .env file in your project root:
These credentials will be used to:
- Authenticate with OpenAI's GPT-5 model
- Connect to Composio's Tool Router
- Identify your Composio user session for Nusii proposals access
```bash
OPENAI_API_KEY=your-openai-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id
```

### 4. Import modules

No description provided.
```python
import asyncio
import os
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()
```

```typescript
import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();
```

### 5. Load environment variables and initialize Composio

No description provided.
```python
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_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")
```

```typescript
const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!COMPOSIO_API_KEY) throw new Error("COMPOSIO_API_KEY is not set");
if (!COMPOSIO_USER_ID) throw new Error("COMPOSIO_USER_ID is not set");
```

### 6. Create a Tool Router session and build the agent function

What's happening here:
- We create a Composio client using your API key and configure it with the LlamaIndex provider
- We then create a tool router MCP session for your user, specifying the toolkits we want to use (in this case, nusii proposals)
- The session returns an MCP HTTP endpoint URL that acts as a gateway to all your configured tools
- LlamaIndex will connect to this endpoint to dynamically discover and use the available Nusii proposals tools.
- The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.
```python
async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["nusii_proposals"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")

    description = "An agent that uses Composio Tool Router MCP tools to perform Nusii proposals actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Nusii proposals actions.
    """
    return ReActAgent(tools=tools, llm=llm, description=description, system_prompt=system_prompt, verbose=True)
```

```typescript
async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["nusii_proposals"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
        description : "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Nusii proposals actions." ,
    llm,
    tools,
  });

  return agent;
}
```

### 7. Create an interactive chat loop

No description provided.
```python
async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")
```

```typescript
async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}
```

### 8. Define the main entry point

What's happening here:
- We're orchestrating the entire application flow
- The agent gets built with proper error handling
- Then we kick off the interactive chat loop so you can start talking to Nusii proposals
```python
async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")
```

```typescript
async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err) {
    console.error("Failed to start agent:", err);
    process.exit(1);
  }
}

main();
```

### 9. Run the agent

When prompted, authenticate and authorise your agent with Nusii proposals, then start asking questions.
```bash
python llamaindex_agent.py
```

```typescript
npx ts-node llamaindex-agent.ts
```

## Complete Code

```python
import asyncio
import os
import signal
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()

OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_API_KEY is not set")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")

async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["nusii_proposals"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")
    description = "An agent that uses Composio Tool Router MCP tools to perform Nusii proposals actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Nusii proposals actions.
    """
    return ReActAgent(
        tools=tools,
        llm=llm,
        description=description,
        system_prompt=system_prompt,
        verbose=True,
    );

async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")

async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")
```

```typescript
import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";
import { LlamaindexProvider } from "@composio/llamaindex";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) {
    throw new Error("OPENAI_API_KEY is not set in the environment");
  }
if (!COMPOSIO_API_KEY) {
    throw new Error("COMPOSIO_API_KEY is not set in the environment");
  }
if (!COMPOSIO_USER_ID) {
    throw new Error("COMPOSIO_USER_ID is not set in the environment");
  }

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["nusii_proposals"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
    description:
      "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Nusii proposals actions." ,
    llm,
    tools,
  });

  return agent;
}

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err: any) {
    console.error("Failed to start agent:", err?.message ?? err);
    process.exit(1);
  }
}

main();
```

## Conclusion

You've successfully connected Nusii proposals to LlamaIndex through Composio's Tool Router MCP layer.
Key takeaways:
- Tool Router dynamically exposes Nusii proposals tools through an MCP endpoint
- LlamaIndex's ReActAgent handles reasoning and orchestration; Composio handles integrations
- The agent becomes more capable without increasing prompt size
- Async Python provides clean, efficient execution of agent workflows
You can easily extend this to other toolkits like Gmail, Notion, Stripe, GitHub, and more by adding them to the toolkits parameter.

## 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)
- [LangChain](https://composio.dev/toolkits/nusii_proposals/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/nusii_proposals/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/nusii_proposals/framework/mastra-ai)
- [CrewAI](https://composio.dev/toolkits/nusii_proposals/framework/crew-ai)

## Related Toolkits

- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.
- [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.
- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [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 LlamaIndex?

Yes, you can. LlamaIndex 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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