# How to integrate Everhour MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Everhour MCP with OpenAI Agents SDK",
  "toolkit": "Everhour",
  "toolkit_slug": "everhour",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/everhour/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/everhour/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-06T08:10:56.750Z"
}
```

## Introduction

This guide walks you through connecting Everhour to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Everhour agent that can list all clients for this workspace, retrieve expense categories for new report, get your everhour user profile details through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Everhour account through Composio's Everhour MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Everhour with

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

The Everhour MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Everhour account. It provides structured and secure access to your time tracking, client, and expense data, so your agent can perform actions like listing clients, retrieving expenses, managing projects, and fetching user profiles on your behalf.
- Comprehensive client management: Ask your agent to list, create, or delete clients to keep your workspace organized and up-to-date.
- Expense tracking and review: Effortlessly retrieve all expenses or list available expense categories to monitor spending and streamline expense management.
- Project and section insights: Have your agent fetch detailed information about specific projects or sections using their IDs for better resource planning.
- Personalized user profile access: Enable your agent to fetch the authenticated user's profile for quick access to account details and preferences.
- Webhook configuration overview: List all configured webhooks to monitor integrations and automate notifications within your Everhour environment.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `EVERHOUR_CLIENT_CREATE` | Create Client | Tool to create a new client in everhour. use when you need to add a client before tracking time or assigning it to projects. |
| `EVERHOUR_CLIENT_DELETE` | Delete a client | Tool to delete a client. use when you need to permanently remove a client from everhour after confirming the client id. |
| `EVERHOUR_CLIENT_LIST` | List Clients | Tool to list all clients. use when you need an overview of workspace clients. |
| `EVERHOUR_EXPENSES_LIST` | List Expenses | Tool to retrieve all expenses. use when you need to review expense records across your workspace. |
| `EVERHOUR_GET_CLIENT` | Get Client by ID | Tool to retrieve a specific client by id. use when you need detailed client information after obtaining the client's id. |
| `EVERHOUR_GET_PROJECT` | Get Project | Tool to retrieve a specific project. use after you have the project id if you need its details. |
| `EVERHOUR_GET_SECTION` | Get Section | Tool to retrieve a specific section. use when you need detailed section data by its id. |
| `EVERHOUR_GET_USER_PROFILE` | Get Authenticated User Profile | Tool to retrieve profile information of the authenticated user. use after providing api key to fetch current user's profile details. |
| `EVERHOUR_LIST_EXPENSE_CATEGORIES` | List Expense Categories | Tool to list all expense categories. use when you need to retrieve every category available for categorizing expenses after authenticating with your api key. |
| `EVERHOUR_LIST_HOOKS` | List Webhooks | Tool to list all webhooks. use when you need to retrieve every configured webhook for the account after authenticating with your api key. |
| `EVERHOUR_LIST_INVOICES` | List Invoices | Tool to list all invoices. use when you need to retrieve every invoice in your everhour workspace after authenticating with your api key. |
| `EVERHOUR_LIST_PROJECTS` | List all projects | Tool to list all projects. use when you need to retrieve every project accessible by your authenticated api key. |
| `EVERHOUR_LIST_SECTIONS` | List Sections | Tool to list sections within a project. use when you need to retrieve all sections for a specified project after authenticating with your api key. |
| `EVERHOUR_LIST_TAGS` | List Tags | Tool to list all tags. use when you need to retrieve every tag in your everhour workspace after authenticating with your api key. |
| `EVERHOUR_LIST_TEAM_MEMBERS` | List Team Members | Tool to list all team members. use when you need to retrieve your everhour team's current roster after authenticating with your api key. |
| `EVERHOUR_LIST_TEAMS` | List Teams | Tool to list all teams. use to retrieve available teams for your api key. |
| `EVERHOUR_PROJECT_CREATE` | Create Project | Tool to create a new project in everhour. use after gathering project details to persist a new project. |
| `EVERHOUR_PROJECT_DELETE` | Delete a project | Tool to delete a project. use when you need to permanently remove a project from everhour after confirming the project id. |
| `EVERHOUR_SECTION_CREATE` | Create Section | Tool to create a new section in a project. use when you need to organize tasks under an existing project after confirming the project id. |
| `EVERHOUR_SECTION_DELETE` | Delete a section | Tool to delete a section. use when you need to permanently remove a section from everhour after confirming the section id. |
| `EVERHOUR_TASK_CREATE` | Create Task | Tool to create a new task in a project. use when you need to quickly add a task under a specific project id. example: "create a task named 'write tests' in project proj 123456". |
| `EVERHOUR_TIMER_START` | Start Timer | Tool to start a new timer for a task. use when you need to begin tracking time on a specific task. |
| `EVERHOUR_UPDATE_CLIENT` | Update Client | Tool to update an existing client. use when you need to modify client details such as name, hourly rate, or archived status after confirming the client id. |
| `EVERHOUR_UPDATE_PROJECT` | Update an existing project | Tool to update an existing project. use after confirming the project id when modifying project details. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

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

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

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

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