# How to integrate Better proposals MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Better proposals MCP with OpenAI Agents SDK",
  "toolkit": "Better proposals",
  "toolkit_slug": "better_proposals",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/better_proposals/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/better_proposals/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:02:53.728Z"
}
```

## Introduction

This guide walks you through connecting Better proposals to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Better proposals agent that can list all proposals sent this month, create a new company profile, show available proposal templates for selection through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Better proposals account through Composio's Better proposals MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Better proposals with

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Better proposals
- Configure an AI agent that can use Better proposals as a tool
- Run a live chat session where you can ask the agent to perform Better proposals operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## What is the Better proposals MCP server, and what's possible with it?

The Better 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 Better Proposals account. It provides structured and secure access to your proposals workspace, so your agent can perform actions like creating companies, generating proposals, listing templates, and managing document types on your behalf.
- Automated proposal creation: Instruct your agent to generate new proposal covers or assemble entire proposals using customizable templates and dynamic content.
- Company and client management: Let your agent create new companies, retrieve lists of existing clients, and keep your contacts organized for faster proposal delivery.
- Template and document type selection: Ask your agent to fetch available templates and document types, helping you choose the right style and format every time.
- Quote and currency handling: Have your agent list all available quotes and supported currencies, streamlining the pricing and invoicing process for your proposals.
- Bulk data retrieval and reporting: Direct the agent to gather lists of all proposals, document types, or companies for easy review, reporting, or dashboarding.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BETTER_PROPOSALS_CREATE_COMPANY` | Create Company | Tool to create a new company. Use after confirming the company does not already exist. |
| `BETTER_PROPOSALS_CREATE_DOCUMENT_TYPE` | Create Document Type | Tool to create a new document type. Use after confirming the desired type name does not already exist. |
| `BETTER_PROPOSALS_CREATE_PROPOSAL_COVER` | Create Proposal Cover | Tool to create a new proposal cover design. Use when you need a custom cover design before sending out a proposal. Use after finalizing cover settings. |
| `BETTER_PROPOSALS_GET_ALL_COMPANIES` | Get All Companies | Tool to retrieve a paginated list of all companies. Use when listing available companies for display or selection. |
| `BETTER_PROPOSALS_GET_ALL_CURRENCIES` | Get All Currencies | Tool to retrieve a paginated list of all currencies. Use when listing available currency options before selection. |
| `BETTER_PROPOSALS_BETTER_PROPOSALS_GET_ALL_DOCUMENT_TYPES` | Get All Document Types | Tool to retrieve a paginated list of all document types. Use when you need to display or select a document type ID. |
| `BETTER_PROPOSALS_GET_ALL_PROPOSALS` | Get All Proposals | Tool to retrieve a paginated list of all proposals. Use when you need to fetch proposals list after validating credentials. |
| `BETTER_PROPOSALS_GET_ALL_QUOTES` | Get All Quotes | Tool to retrieve a paginated list of all quotes. Use after setting pagination parameters. |
| `BETTER_PROPOSALS_GET_ALL_TEMPLATES` | Get All Templates | Tool to retrieve a paginated list of all templates. Use when you need to list available templates for selection. |
| `BETTER_PROPOSALS_GET_BRAND_SETTINGS` | Get Brand Settings | Tool to retrieve settings for the default brand. Use when you need default-brand configuration (colors, tax, name, etc.) before creating or customizing documents. |
| `BETTER_PROPOSALS_GET_COMPANY` | Get Company | Tool to retrieve details of a specific company. Use when you need company metadata by ID. |
| `BETTER_PROPOSALS_GET_CURRENCY` | Get Currency | Tool to retrieve details of a specific currency. Use when you need currency metadata by ID. |
| `BETTER_PROPOSALS_GET_NEW_PROPOSALS` | Get New Proposals | Tool to retrieve all new proposals. Use after validating credentials when you need only newly created proposals. |
| `BETTER_PROPOSALS_GET_OPENED_PROPOSALS` | Get Opened Proposals | Tool to retrieve all opened proposals. Use when you need proposals that recipients have opened. |
| `BETTER_PROPOSALS_GET_PAID_PROPOSALS` | Get Paid Proposals | Tool to retrieve all paid proposals. Use when you need to list proposals that have been paid. |
| `BETTER_PROPOSALS_GET_PROPOSAL` | Get Proposal | Tool to retrieve details of a specific proposal by ID. Use when you need complete proposal metadata and content. |
| `BETTER_PROPOSALS_GET_PROPOSAL_COUNT` | Get Proposal Count | Tool to retrieve the total count of proposals. Use when you need to know how many proposals exist. |
| `BETTER_PROPOSALS_GET_QUOTE` | Get Quote | Tool to retrieve details of a specific quote. Use when you need full quote data by ID. |
| `BETTER_PROPOSALS_GET_SENT_PROPOSALS` | Get Sent Proposals | Tool to retrieve all sent proposals. Use after dispatching proposals to clients to list them. |
| `BETTER_PROPOSALS_GET_SETTINGS` | Get Settings | Tool to retrieve current account settings. Use when you need default currency, tax, and timezone configuration before creating proposals. |
| `BETTER_PROPOSALS_GET_SIGNED_PROPOSALS` | Get Signed Proposals | Tool to retrieve all signed proposals. Use when you need to list proposals clients have signed after confirming credentials. |
| `BETTER_PROPOSALS_GET_TEMPLATE` | Get Template Details | Tool to retrieve details of a specific template. Use after selecting the template ID to fetch metadata. |
| `BETTER_PROPOSALS_LIST_MERGE_TAGS` | List Merge Tags | Tool to retrieve custom merge tags with pagination support. Use when you need to list available merge tags for templates. |

## Supported Triggers

None listed.

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

The Better proposals MCP server is an implementation of the Model Context Protocol that connects your AI agent to Better proposals. It provides structured and secure access so your agent can perform Better 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 starting, make sure you have:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Better proposals project
- Some knowledge of Python or Typescript

### 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).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Better proposals.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

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

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only better_proposals.
- The router checks the user's Better proposals connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Better proposals.
- This approach keeps things lightweight and lets the agent request Better proposals tools only when needed during the conversation.
```python
# Create a Better proposals Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["better_proposals"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Better proposals
const session = await composio.create(userId as string, {
  toolkits: ['better_proposals'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Better proposals. "
        "Help users perform Better proposals operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Better proposals. Help users perform Better proposals operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

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

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

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

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

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

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

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

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["better_proposals"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Better proposals. "
        "Help users perform Better proposals operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

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

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['better_proposals'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Better proposals. Help users perform Better proposals operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

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

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

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

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

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

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\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

This was a starter code for integrating Better proposals MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Better proposals.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

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

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

## Related Toolkits

- [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools.
- [Autobound](https://composio.dev/toolkits/autobound) - Autobound is an AI-powered sales engagement platform that crafts hyper-personalized outreach and insights. It helps sales teams boost response rates and close more deals through tailored content and recommendations.
- [Bidsketch](https://composio.dev/toolkits/bidsketch) - Bidsketch is a proposal software that helps businesses create professional proposals quickly and efficiently. It streamlines the proposal process, saving time while boosting client win rates.
- [Bolna](https://composio.dev/toolkits/bolna) - Bolna is an AI platform for building conversational voice agents. It helps businesses automate support and streamline interactions through natural, voice-powered conversations.
- [Botsonic](https://composio.dev/toolkits/botsonic) - Botsonic is a no-code AI chatbot builder for easily creating and deploying chatbots to your website. It empowers businesses to offer conversational experiences without writing code.
- [Botstar](https://composio.dev/toolkits/botstar) - BotStar is a comprehensive chatbot platform for designing, developing, and training chatbots visually on Messenger and websites. It helps businesses automate conversations and customer interactions without coding.
- [Callerapi](https://composio.dev/toolkits/callerapi) - CallerAPI is a white-label caller identification platform for branded caller ID and fraud prevention. It helps businesses boost customer trust while stopping spam, fraud, and robocalls.
- [Callingly](https://composio.dev/toolkits/callingly) - Callingly is a lead response management platform that automates immediate call and text follow-ups with new leads. It helps sales teams boost response speed and close more deals by connecting seamlessly with CRMs and lead sources.
- [Callpage](https://composio.dev/toolkits/callpage) - Callpage is a lead capture platform that lets businesses instantly connect with website visitors via callback. It boosts lead generation and increases your sales conversion rates.
- [Clearout](https://composio.dev/toolkits/clearout) - Clearout is an AI-powered service for verifying, finding, and enriching email addresses. It boosts deliverability and helps you discover high-quality leads effortlessly.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Convolo ai](https://composio.dev/toolkits/convolo_ai) - Convolo ai is an AI-powered communications platform for sales teams. It accelerates lead response and improves conversion rates by automating calls and integrating workflows.
- [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment.
- [Docsbot ai](https://composio.dev/toolkits/docsbot_ai) - Docsbot ai is a platform that lets you build custom AI chatbots trained on your documentation. It automates customer support and content generation, saving time and improving response quality.
- [Emelia](https://composio.dev/toolkits/emelia) - Emelia is an all-in-one B2B prospecting platform for cold-email, LinkedIn outreach, and prospect research. It streamlines outbound campaigns so you can find, engage, and warm up leads faster.
- [Findymail](https://composio.dev/toolkits/findymail) - Findymail is a B2B data provider offering verified email and phone contacts for sales prospecting. Enhance outreach with automated exports, email verification, and CRM enrichment.
- [Freshdesk](https://composio.dev/toolkits/freshdesk) - Freshdesk is customer support software with ticketing and automation tools. It helps teams streamline helpdesk operations for faster, better customer support.
- [Fullenrich](https://composio.dev/toolkits/fullenrich) - FullEnrich is a B2B contact enrichment platform that aggregates emails and phone numbers from 15+ data vendors. Instantly find and verify lead contact data to boost your outreach.
- [Gatherup](https://composio.dev/toolkits/gatherup) - GatherUp is a customer feedback and online review management platform. It helps businesses boost their reputation by streamlining how they collect and manage customer feedback.
- [Getprospect](https://composio.dev/toolkits/getprospect) - Getprospect is a business email discovery tool with LinkedIn integration. Use it to quickly find and verify professional email addresses.

## Frequently Asked Questions

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

With a standalone Better proposals MCP server, the agents and LLMs can only access a fixed set of Better proposals tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Better proposals and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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 Better proposals tools.

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

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

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[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
