# How to integrate Ably MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Ably MCP with OpenAI Agents SDK",
  "toolkit": "Ably",
  "toolkit_slug": "ably",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/ably/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/ably/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T09:59:50.981Z"
}
```

## Introduction

This guide walks you through connecting Ably to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Ably agent that can list all active channels and their details, get message history from 'support-chat' channel, show presence history for 'live-event' channel through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Ably account through Composio's Ably MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Ably with

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

The Ably MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Ably account. It provides structured and secure access to your real-time messaging infrastructure, so your agent can manage channels, monitor presence, analyze usage, and handle messaging workflows for your applications.
- Channel management and creation: Seamlessly create, initialize, or retrieve real-time messaging channels so your agent can orchestrate chat, data sync, and collaboration features on demand.
- Presence tracking and analytics: Ask your agent to query current presence states or review historical presence data across multiple channels, gaining insights into user activity and engagement patterns.
- Message history and audit: Retrieve detailed message histories from any channel, enabling your agent to audit communication, recover missed messages, or analyze message flows for debugging and compliance.
- Push notification subscription management: Let your agent list, manage, or unsubscribe devices from push notification channels, ensuring targeted and controlled delivery of real-time alerts to clients.
- Application statistics and monitoring: Have your agent fetch in-depth usage metrics—like message counts, channel activity, and API request stats—so you can monitor health, optimize performance, and manage resources with confidence.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ABLY_BATCH_PRESENCE` | Query Batch Presence | This tool enables querying the presence states of multiple channels in a single API request. The API retrieves the member presence details of the specified channels in parallel. |
| `ABLY_BATCH_PRESENCE_HISTORY` | Query Batch Presence History | This tool enables querying presence history for multiple channels in a single API request. It uses the GET endpoint at https://rest.ably.io/presence to retrieve the member presence history details of the specified channels in parallel. |
| `ABLY_DELETE_CHANNEL_SUBSCRIPTION` | Delete Channel Subscription | This tool allows you to unsubscribe devices or clients from push notifications for specific channels. The operation is asynchronous, so immediate requests after deletion may briefly still return the subscription. |
| `ABLY_GET_CHANNEL_DETAILS` | Get Channel Details | This tool retrieves metadata and details for a specific channel in Ably. It returns a ChannelDetails object containing information about the channel's status, occupancy, and other metadata. The endpoint provides visibility into channel activity, including metrics such as connections, presence, publishers, and subscribers, and requires appropriate permissions. |
| `ABLY_GET_CHANNEL_HISTORY` | Get Channel History | This tool retrieves the message history for a specified Ably channel. It uses the GET /channels/{channelId}/messages endpoint to return a paginated list of messages in chronological order, subject to parameters such as 'channelId', 'limit', 'direction', 'start', and 'end'. The tool is useful for auditing, recovering missed messages, analyzing channel activity, and debugging message flows. Authentication is required via basic or token authentication. |
| `ABLY_GET_CHANNEL_PRESENCE` | Get Channel Presence | Tool to obtain the set of members currently present for a channel. Use when you need to check which clients are currently connected and active on a specific Ably channel. |
| `ABLY_GET_MESSAGE_VERSIONS` | Get Message Versions | Tool to retrieve all historical versions of a specific message from an Ably channel. Use when you need to track message history, including the original message and all subsequent updates or delete operations. Each version includes metadata such as timestamp, action type, and client ID. |
| `ABLY_GET_PRESENCE_HISTORY` | Get Channel Presence History | This tool retrieves the history of presence messages for a specified channel in Ably. It allows you to query presence events on a channel within a given time period. |
| `ABLY_GET_PUSH_DEVICE` | Get Push Device Registration | Tool to get the full details of a device registration for push notifications. Use when you need to retrieve information about a specific device registered for push notifications, including its platform, state, recipient details, and metadata. Requires the device ID. |
| `ABLY_GET_SERVICE_TIME` | Get Ably Service Time | This tool retrieves the current server time from Ably's service in milliseconds since the epoch. It is particularly useful for time synchronization and generating valid TokenRequest timestamps to prevent replay attacks. The endpoint supports multiple content types, handles HTTP errors, network issues, and is a fundamental tool for ensuring accurate timing in Ably applications. |
| `ABLY_GET_STATS` | Get Application Stats | This tool retrieves your application's usage statistics from Ably. The stats endpoint returns a paginated list of your application's usage statistics by minute, hour, day, or month. It supports optional parameters such as start, end, direction, limit, and unit to filter and format the returned data. The stats include metrics for: - Message counts and data transferred - Connection counts - Channel usage - API request counts - Push notification metrics - Token request counts |
| `ABLY_LIST_CHANNELS` | List Channels | Tool to enumerate all active channels in the Ably application. Use when you need to discover available channels or monitor channel activity. Returns paginated results and is heavily rate-limited. Can return either channel names only or full channel details with occupancy data. |
| `ABLY_LIST_PUSH_CHANNELS` | List Push Channels | Tool to list all channels with at least one subscribed device. Use when you need to discover which channels have active push notification subscriptions in your Ably application. |
| `ABLY_LIST_PUSH_CHANNEL_SUBSCRIPTIONS` | List Push Channel Subscriptions | This tool retrieves a list of all push notification channel subscriptions. It allows you to view all active push notification subscriptions for channels in your Ably application. Allows filtering by channel, deviceId, and clientId, supports pagination with limit parameter, and returns detailed push notification subscription information including channel, deviceId, and clientId. |
| `ABLY_LIST_REGISTERED_PUSH_DEVICES` | List Registered Push Devices | Tool to list all devices registered for receiving push notifications in your Ably application. Use when you need to view, filter, or audit push notification device registrations. Supports filtering by deviceId and clientId, with pagination via limit parameter. |
| `ABLY_PATCH_PUSH_DEVICE_REGISTRATION` | Patch Push Device Registration | Tool to partially update specific attributes of an existing device registration in Ably's push notification system. Use when you need to modify device properties like formFactor, clientId, platform, or push recipient details without replacing the entire registration. |
| `ABLY_PUBLISH_BATCH_MESSAGES` | Batch Publish Messages | Tool to batch publish messages to multiple channels in parallel. Use when you need to send the same set of messages to multiple channels simultaneously for efficient broadcasting. |
| `ABLY_PUBLISH_MESSAGE_TO_CHANNEL` | Publish Message to Channel | This tool will allow users to publish a message to a specified Ably channel using a POST request. It covers the essentials like channel name, message data, optional event name/type, and additional metadata for push notifications. It is an independent and fundamental operation within Ably's real-time messaging platform. |
| `ABLY_PUBLISH_PUSH_NOTIFICATION` | Publish Push Notification | Tool to publish a push notification directly to device(s) via Ably's Push Notifications API. Use when you need to send push notifications to specific devices identified by device ID, client ID, or platform-specific tokens. The API returns HTTP 204 on success with no response body. |
| `ABLY_PUBLISH_PUSH_NOTIFICATIONS_BATCH` | Batch Publish Push Notifications | Tool to batch publish push notifications directly to specific recipients. Use when you need to send multiple push notifications efficiently in a single request. Supports up to 10,000 notifications per batch. |
| `ABLY_REGISTER_PUSH_DEVICE` | Register Push Device | Tool to register a device for receiving push notifications in Ably. Use when you need to enable push notifications for a specific device across various platforms including iOS (APNs), Android (FCM/GCM), and web browsers (Web Push). The device must be registered before it can receive push notifications through Ably's push notification system. |
| `ABLY_REQUEST_ACCESS_TOKEN` | Request Access Token | Request an access token for Ably authentication. Use this when you need to generate a token with specific capabilities and client identifiers for secure authentication. The token can be used to authenticate clients with limited permissions and time-bound access. |
| `ABLY_UNREGISTER_ALL_PUSH_DEVICES` | Unregister All Push Devices | Tool to unregister matching devices for push notifications. Use when you need to remove device registrations from Ably's push notification system. You can filter by deviceId or clientId, but not both simultaneously. |
| `ABLY_UNREGISTER_PUSH_DEVICE` | Unregister Push Device | Tool to unregister a single device from push notifications in Ably. Use when you need to remove a device's push notification registration. This permanently removes the device from receiving push notifications until it is registered again. |
| `ABLY_UPDATE_PUSH_DEVICE` | Update Push Device Registration | Tool to update (upsert) a device registration for push notifications in Ably. Use when registering a new device or updating an existing device's push notification configuration. This is an upsert operation - if the device doesn't exist, it will be created; if it exists, it will be updated. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

## Related Toolkits

- [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure.
- [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms.
- [GitHub](https://composio.dev/toolkits/github) - GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place.
- [Abuselpdb](https://composio.dev/toolkits/abuselpdb) - Abuselpdb is a central database for reporting and checking IPs linked to malicious online activity. Use it to quickly identify and report suspicious or abusive IP addresses.
- [Alchemy](https://composio.dev/toolkits/alchemy) - Alchemy is a blockchain development platform offering APIs and tools for Ethereum apps. It simplifies building and scaling Web3 projects with robust infrastructure.
- [Algolia](https://composio.dev/toolkits/algolia) - Algolia is a hosted search API that powers lightning-fast, relevant search experiences for web and mobile apps. It helps developers deliver instant, typo-tolerant, and scalable search without complex infrastructure.
- [Anchor browser](https://composio.dev/toolkits/anchor_browser) - Anchor browser is a developer platform for AI-powered web automation. It transforms complex browser actions into easy API endpoints for streamlined web interaction.
- [Apiflash](https://composio.dev/toolkits/apiflash) - Apiflash is a website screenshot API for programmatically capturing web pages. It delivers high-quality screenshots on demand for automation, monitoring, or reporting.
- [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache.
- [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence.
- [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. It accelerates development and iteration by combining hosting, database management, and low-code features in one place.
- [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines.
- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.
- [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows.
- [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights.
- [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews.
- [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease.
- [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data.
- [Bolt iot](https://composio.dev/toolkits/bolt_iot) - Bolt IoT is a platform for building and managing IoT projects with cloud-based device control and monitoring. It makes connecting sensors and actuators to the internet seamless for automation and data insights.

## Frequently Asked Questions

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

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

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

Yes, absolutely. You can configure which Ably 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 Ably 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)