# How to integrate Dailybot MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Dailybot MCP with OpenAI Agents SDK",
  "toolkit": "Dailybot",
  "toolkit_slug": "dailybot",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/dailybot/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/dailybot/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:08:15.632Z"
}
```

## Introduction

This guide walks you through connecting Dailybot to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Dailybot agent that can send a standup reminder to your team, give kudos to top performers this week, list all active dailybot workflows through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Dailybot account through Composio's Dailybot MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Dailybot with

- [Claude Agent SDK](https://composio.dev/toolkits/dailybot/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/dailybot/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/dailybot/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/dailybot/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/dailybot/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/dailybot/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/dailybot/framework/cli)
- [Google ADK](https://composio.dev/toolkits/dailybot/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/dailybot/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/dailybot/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/dailybot/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/dailybot/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/dailybot/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 Dailybot
- Configure an AI agent that can use Dailybot as a tool
- Run a live chat session where you can ask the agent to perform Dailybot 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 Dailybot MCP server, and what's possible with it?

The Dailybot MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Dailybot account. It provides structured and secure access to your team’s Dailybot workspace, so your agent can perform actions like sending messages, running workflows, managing users, and automating recognition on your behalf.
- Automated team messaging and notifications: Let your agent instantly send updates, reminders, or announcements to specific users or channels via Dailybot, complete with markdown formatting.
- Workflow discovery and automation: Effortlessly find, list, or retrieve details about team workflows, enabling your agent to help coordinate or trigger automated routines across your organization.
- User management and lookup: Quickly fetch information about any user in your Dailybot workspace, including status, profile details, and organizational context, for personalized communication and reporting.
- Kudos and team recognition: Enable your agent to give kudos to one or multiple teammates, supporting a culture of appreciation and motivation directly from your chat platforms.
- Comprehensive organization insights: Retrieve and analyze lists of all users or workflows, helping your agent surface insights, generate reports, or keep your team directory up to date automatically.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `DAILYBOT_CREATE_CHECKIN` | Create Check-in | Tool to create a check-in based on a template in DailyBot. Use when you need to set up a new recurring check-in (like daily standups, weekly syncs) for a team. The check-in can be scheduled with custom triggers, reminders, and reporting channels. |
| `DAILYBOT_FIND_USER` | Find User by UUID | This tool allows you to find and retrieve information about a specific user in DailyBot. It uses the provided user_uuid to lookup the user and returns detailed information including the user's uuid, full name, image, username, occupation, birth date, chat platform data, and organization details. |
| `DAILYBOT_FIND_WORKFLOW` | Find Workflow by Name | Fetches one page of workflows from DailyBot, optionally filtered by name. DailyBot exposes HATEOAS pagination on `/v1/workflows/`: each response carries a `next` field that is the full URL of the next page. ONE DailyBot API call is made per invocation; pagination is caller-driven via the `cursor` parameter (pass the previous response's `next_cursor`) and the `next_cursor` / `has_next_page` fields in the response. When `workflow_name` is supplied, the current page is filtered locally (case-insensitive) and only the matching workflow is returned; if the name is not found on this page, callers should re-invoke with `cursor=next_cursor` to continue searching. |
| `DAILYBOT_GET_USERS` | Get All Users | Retrieves a paginated list of all users within the authenticated organization from DailyBot. This action requires no input parameters and returns comprehensive user information including: - User identification (UUID, full name, username) - Status information (is_active, bot_enabled) - Work details (role, timezone, occupation, work_days, work hours) - Time off information (timeoff_start, timeoff_end) - Chat platform integration data (user_external_id, external_grid_id) - Organization details The response includes pagination fields (count, next, previous) for navigating large user lists. All users in the organization are returned regardless of their active status or role. |
| `DAILYBOT_GIVE_KUDOS` | Give Kudos to Users | This tool allows giving kudos to one or multiple users in DailyBot. Kudos can be given either on behalf of DailyBot or the API key owner. |
| `DAILYBOT_SEND_MESSAGE` | Send Message | This tool allows sending a message through DailyBot to either specific users or channels/rooms. The message can include markdown formatting. |

## Supported Triggers

None listed.

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

The Dailybot MCP server is an implementation of the Model Context Protocol that connects your AI agent to Dailybot. It provides structured and secure access so your agent can perform Dailybot 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 Dailybot 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 Dailybot.
```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 dailybot.
- The router checks the user's Dailybot connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Dailybot.
- This approach keeps things lightweight and lets the agent request Dailybot tools only when needed during the conversation.
```python
# Create a Dailybot Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["dailybot"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Dailybot
const session = await composio.create(userId as string, {
  toolkits: ['dailybot'],
});
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 Dailybot. "
        "Help users perform Dailybot 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 Dailybot. Help users perform Dailybot 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=["dailybot"]
)
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 Dailybot. "
        "Help users perform Dailybot 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: ['dailybot'],
  });
  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 Dailybot. Help users perform Dailybot 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 Dailybot MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Dailybot.
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 Dailybot MCP Agent with another framework

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

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- [Microsoft teams](https://composio.dev/toolkits/microsoft_teams) - Microsoft Teams is a collaboration platform that combines chat, meetings, and file sharing within Microsoft 365. It keeps distributed teams connected and productive through seamless virtual communication.
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- [Dialpad](https://composio.dev/toolkits/dialpad) - Dialpad is a cloud-based business phone and contact center system for teams. It unifies voice, video, messaging, and meetings across your devices.
- [Discord](https://composio.dev/toolkits/discord) - Discord is a real-time messaging and VoIP platform for communities and teams. It lets users chat, share media, and collaborate across public and private channels.
- [Discordbot](https://composio.dev/toolkits/discordbot) - Discordbot is an automation tool for Discord servers that handles moderation, messaging, and user engagement. It helps communities run smoothly by automating routine and complex tasks.
- [Echtpost](https://composio.dev/toolkits/echtpost) - Echtpost is a secure digital communication platform for encrypted document and message exchange. It ensures confidential data stays private and protected during transmission.
- [Egnyte](https://composio.dev/toolkits/egnyte) - Egnyte is a cloud-based platform for secure file sharing, storage, and governance. It helps teams collaborate efficiently while maintaining data compliance and security.
- [Google Meet](https://composio.dev/toolkits/googlemeet) - Google Meet is a secure video conferencing platform for virtual meetings, chat, and screen sharing. It helps teams connect, collaborate, and communicate seamlessly from anywhere.
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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Dailybot MCP?

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

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

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

---
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