# How to integrate Webex MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Webex MCP with OpenAI Agents SDK",
  "toolkit": "Webex",
  "toolkit_slug": "webex",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/webex/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/webex/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:30:09.836Z"
}
```

## Introduction

This guide walks you through connecting Webex to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Webex agent that can create a new project discussion room, list all teams i am part of, send a meeting summary to your team through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Webex account through Composio's Webex MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Webex with

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

The Webex MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Webex account. It provides structured and secure access to your meetings, teams, rooms, and messaging, so your agent can perform actions like managing teams, creating rooms, posting messages, and handling memberships on your behalf.
- Automated team and room management: Quickly create new teams or rooms, group conversations by topic, and keep collaboration spaces organized through your agent.
- Seamless messaging and announcements: Direct your agent to post messages, send important files, or share updates with individuals or entire rooms instantly.
- Membership and access control: Effortlessly add or remove members from teams and spaces, ensuring the right people have access at the right time.
- Webhook and event integrations: List and manage Webex webhooks so your agent can react to events or changes as they happen in your workspace.
- Content and message cleanup: Ask your agent to delete outdated or mistaken messages and memberships, keeping your workspace tidy and relevant.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `WEBEX_CREATE_TEAM` | Create Team | Creates a new Webex team and automatically adds the authenticated user as a member. Teams are used to organize and group multiple rooms (spaces) under a common umbrella. Use this when you need to create a collaborative workspace for a project, department, or any group that needs multiple related discussion spaces. Note: The creator is automatically added as a team member and can manage team memberships. Use the Team Memberships API to add additional members after creation. |
| `WEBEX_GET_TEAM_DETAILS` | Get Team Details | Tool to retrieve details for a specific team by teamId. Use when you need full metadata of a team before performing team-related operations. |
| `WEBEX_LIST_TEAMS` | List Teams | Lists all teams the authenticated user belongs to. Teams are groups of people with shared rooms visible to all members. Use this when you need to find available teams, get team IDs for other operations, or discover which teams a user has access to. Results are ordered by creation date (newest first) and can be paginated using the max parameter. |
| `WEBEX_LIST_WEBHOOKS` | List Webhooks | Lists all webhooks registered for the authenticated user or organization. Supports optional filtering by maximum results and ownership type (creator vs org-wide). |
| `WEBEX_MESSAGING_CREATE_MESSAGE` | Create Message | Tool to post a message to a Webex room or person. Use when you have a target roomId or private recipient and want to send text, markdown, files, or card attachments. |
| `WEBEX_CREATE_ROOM` | Create Room | Creates a new Webex room for team collaboration. The authenticated user is automatically added as a member. Use this to create group rooms for team discussions or associate rooms with existing teams. To create a 1:1 room, use the Create Message action with toPersonId/toPersonEmail instead. Note: Team rooms cannot be moved after creation. Bots cannot simultaneously create and classify rooms. |
| `WEBEX_MESSAGING_CREATE_TEAM_MEMBERSHIP` | Create Team Membership | Tool to add a person to a Webex team by personId or personEmail. Use when granting a user access to a team; requires teamId and one of personId or personEmail. |
| `WEBEX_MESSAGING_DELETE_MEMBERSHIP` | Delete Membership | Tool to delete a Webex membership by its unique identifier. Use when you need to remove a member from a space after confirming the membership exists. Example: "Delete the membership with ID Y2lzY29zcGFjMDczNzA2Njg0ZDliY2YxNDE4NDQyYzQ5NDQzOTExYTk4". |
| `WEBEX_MESSAGING_DELETE_MESSAGE` | Delete Message | Tool to delete a Webex message by its unique identifier. Use after confirming the messageId to remove unintended or obsolete messages. Example: "Delete the message with ID Y2lzY29zcGFyazovL21lc3NhZ2UvYWJjMTIzNDU2Nzg5". |
| `WEBEX_MESSAGING_DELETE_ROOM` | Delete Room | Deletes a Webex room by its ID. Deleted rooms cannot be recovered. Note: Non-moderators will be removed from the room instead of deleting it (as a safety measure). Rooms that are part of a team will be archived instead of deleted. Use this when you need to permanently remove a room or leave a room. |
| `WEBEX_MESSAGING_GET_MEMBERSHIP_DETAILS` | Get Membership Details | Tool to retrieve details for a specific membership. Use when you need metadata for a membership by its ID. |
| `WEBEX_MESSAGING_GET_MESSAGE_DETAILS` | Get Message Details | Tool to retrieve details for a specific message. Use when you need full content and metadata by message ID. |
| `WEBEX_MESSAGING_GET_TEAM_MEMBERSHIP_DETAILS` | Get Team Membership Details | Tool to retrieve details for a specific team membership. Use when you need metadata for a team membership by its ID. |
| `WEBEX_MESSAGING_LIST_MEMBERSHIPS` | List Memberships | List memberships in Webex rooms. When called without parameters, returns memberships for all rooms the authenticated user belongs to. Use roomId to list all members of a specific room. Use personId or personEmail with roomId to check if a specific person is a member of a room. Supports filtering by teamId and limiting results with max parameter. |
| `WEBEX_MESSAGING_LIST_MESSAGES` | List Messages | Tool to list messages in a room. Use when you need to retrieve chat history filtered by room, time window, or mentions. |
| `WEBEX_MESSAGING_LIST_ROOMS` | List Rooms | Tool to list rooms the authenticated user belongs to. Use after authentication when needing to retrieve spaces filtered by team, type, or sorted. Example: "List my group rooms sorted by last activity." |
| `WEBEX_MESSAGING_LIST_TEAM_MEMBERSHIPS` | List Team Memberships | Tool to list all memberships for a specific team. Use when you need to retrieve all members of a team, including their roles (moderator status). Requires a valid teamId. |
| `WEBEX_PEOPLE_GET_PERSON` | Get Person Details | Retrieves detailed profile information for a specific person by their ID. Returns comprehensive user details including contact information, organizational data, presence status, and Webex Calling information. Use when you need full profile details for a known person ID. To find person IDs, use the List People action first. |
| `WEBEX_PEOPLE_LIST_PEOPLE` | List People | Tool to list people in your organization. Use when you need to retrieve people filtered by email, display name, IDs, roles, or location. |
| `WEBEX_ROOMS_GET_ROOM_DETAILS` | Get Room Details | Tool to retrieve details for a specific room. Use when you need full metadata of a room before posting messages or updating settings. |
| `WEBEX_UPDATE_MEMBERSHIP` | Update Membership | Updates a Webex room membership by ID to change moderator or monitor status. Use this to grant or revoke moderator privileges, or to enable/disable room monitoring for a member. Note: Assigning moderator status requires special account permissions; operations may fail with 403 Forbidden if the authenticated user lacks the necessary entitlements. |
| `WEBEX_UPDATE_ROOM` | Update Room | Update a room's title, lock status, or team association. The title parameter is always required by the Webex API - if you're only updating isLocked or teamId, you must still provide the current room title. |
| `WEBEX_UPDATE_TEAM` | Update Team | Tool to update a team's name by teamId. Use when you need to rename a Webex team. Example: "Change team 12345 name to 'Project X Team'". |
| `WEBEX_WEBHOOKS_CREATE_WEBHOOK` | Create Webhook | Creates a Webex webhook to receive real-time event notifications via HTTP POST requests to your specified URL. Use this tool to register for automated notifications when resources (messages, rooms, memberships, meetings, etc.) are created, updated, deleted, or undergo other state changes. Webhooks enable event-driven integrations without polling. Important: The webhook will be automatically disabled if your target URL fails to respond with HTTP 2xx status codes 100 times within five minutes. Requires 'read' scope for the monitored resource type. |
| `WEBEX_WEBHOOKS_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a specific webhook. Use when you need to remove an existing webhook by its ID after confirming the identifier. |
| `WEBEX_WEBHOOKS_GET_WEBHOOK` | Get Webhook Details | Retrieves detailed information about a specific Webex webhook by its ID. Use this action to: - Inspect a webhook's configuration (target URL, resource, event type, filters) - Verify webhook status (active/inactive) - Check webhook ownership and security settings (secret, ownedBy) - Get webhook metadata (creation date, creator, organization) The webhook must exist and be accessible with your current credentials. Returns 404 error if the webhook ID is invalid or you don't have permission to view it. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

## Related Toolkits

- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.
- [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management.
- [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools in one place.
- [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action.
- [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.
- [Slackbot](https://composio.dev/toolkits/slackbot) - Slackbot is a conversational automation tool for Slack that handles reminders, notifications, and automated responses. It boosts team productivity by streamlining onboarding, answering FAQs, and managing timely alerts—all right inside Slack.
- [2chat](https://composio.dev/toolkits/_2chat) - 2chat is an API platform for WhatsApp and multichannel text messaging. It streamlines chat automation, group management, and real-time messaging for developers.
- [Agent mail](https://composio.dev/toolkits/agent_mail) - Agent mail provides AI agents with dedicated email inboxes for sending, receiving, and managing emails. It empowers agents to communicate autonomously with people, services, and other agents—no human intervention needed.
- [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.
- [Chatwork](https://composio.dev/toolkits/chatwork) - Chatwork is a team communication platform with group chats, file sharing, and task management. It helps businesses boost collaboration and streamline productivity.
- [Clickmeeting](https://composio.dev/toolkits/clickmeeting) - ClickMeeting is a cloud-based platform for running online meetings and webinars. It helps businesses and individuals host, manage, and engage virtual audiences with ease.
- [Confluence](https://composio.dev/toolkits/confluence) - Confluence is Atlassian's team collaboration and knowledge management platform. It helps your team organize, share, and update documents and project content in one secure workspace.
- [Dailybot](https://composio.dev/toolkits/dailybot) - DailyBot streamlines team collaboration with chat-based standups, reminders, and polls. It keeps work flowing smoothly in your favorite messaging platforms.
- [Dialmycalls](https://composio.dev/toolkits/dialmycalls) - Dialmycalls is a mass notification service for sending voice and text messages to contacts. It helps teams and organizations quickly broadcast urgent alerts and updates.
- [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.

## Frequently Asked Questions

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

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

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

Yes, absolutely. You can configure which Webex 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 Webex 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)