# How to integrate Reddit MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Reddit MCP with OpenAI Agents SDK",
  "toolkit": "Reddit",
  "toolkit_slug": "reddit",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/reddit/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/reddit/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:23:35.659Z"
}
```

## Introduction

This guide walks you through connecting Reddit to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Reddit agent that can post a weekly update to r/marketing, search for trending posts about ai startups, retrieve comments from your latest reddit post through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Reddit account through Composio's Reddit MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Reddit with

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

The Reddit MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Reddit account. It provides structured and secure access to your Reddit activity, so your agent can perform actions like posting to subreddits, searching for content, retrieving comments, and participating in discussions on your behalf.
- Automated subreddit posting: Instruct your agent to create new text or link posts in any subreddit you choose, complete with flair options when available.
- Intelligent Reddit search: Let your agent search across subreddits for posts, comments, or topics matching any keywords, helping you discover relevant discussions instantly.
- Discussion and comment management: Have your agent post replies, fetch all comments for a specific thread, or even edit and delete your own comments and posts as needed.
- Subreddit content retrieval: Quickly pull the hottest posts from any public subreddit, making it easy to keep tabs on trending topics without lifting a finger.
- Flair and metadata handling: Allow your agent to fetch available link flairs for subreddits or retrieve detailed info on specific posts and comments for deeper engagement and organization.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `REDDIT_CREATE_REDDIT_POST` | Create a Reddit post | Creates a new text or link post on a specified, existing Reddit subreddit, optionally applying a flair. Immediately publishes publicly visible content — confirm subreddit, title, and body with the user before executing. Posts may be silently removed post-submission by automoderator or subreddit rules (errors: SUBMIT_VALIDATION_BODY_BLACKLISTED_STRING, POST_GUIDANCE_VALIDATION_FAILED); verify visibility via the returned permalink. Rapid consecutive calls trigger RATELIMIT errors with cooldown hints. |
| `REDDIT_DELETE_REDDIT_COMMENT` | Delete Reddit comment | Deletes a Reddit comment, identified by its fullname ID, if it was authored by the authenticated user. Deletion is permanent and irreversible. |
| `REDDIT_DELETE_REDDIT_POST` | Delete a Reddit post | Permanently and irreversibly deletes a Reddit post by its ID. Confirm with the user before calling. Only works on posts authored by the authenticated account; attempting to delete another user's post will fail. |
| `REDDIT_EDIT_REDDIT_COMMENT_OR_POST` | Edit comment or post | Edits the body text of the authenticated user's own existing comment or self-post on Reddit; cannot edit link posts or titles. |
| `REDDIT_GET` | Get Reddit listing by sort | Tool to retrieve a listing of Reddit posts sorted by the specified criteria (hot, new, top, etc.). Use when you need to get posts from the Reddit front page or all of Reddit with a specific sort order. Supports pagination and time filtering for top/controversial sorts. |
| `REDDIT_GET_CONTROVERSIAL_POSTS` | Get controversial posts from all subreddits | Tool to retrieve controversial posts from all subreddits with time filters. Use when you need to find the most controversial posts across Reddit from a specific time period (hour, day, week, month, year, or all-time). Returns a paginated listing of posts ranked by controversy within the specified time frame. |
| `REDDIT_GET_ME_PREFS` | Get user preferences | Tool to retrieve preference settings of the logged in user. Use when you need to check user preferences or settings. |
| `REDDIT_GET_RANDOM` | Get random Reddit post | Tool to retrieve a random public Reddit post from any subreddit. Use when you want to discover serendipitous content or need a random post for testing or entertainment purposes. |
| `REDDIT_GET_REDDIT_USER_ABOUT` | Get user information | Retrieves information about a specified Reddit user account, including karma scores and gold status. Use when you need to get profile information for any public Reddit user. |
| `REDDIT_GET_R_TOP` | Get top posts from subreddit | Tool to retrieve top-rated posts from a subreddit with time filters. Use when you need to find the most popular posts from a specific time period (hour, day, week, month, year, or all-time). Returns a paginated listing of posts ranked by score within the specified time frame. |
| `REDDIT_GET_SCOPES` | Get OAuth scopes | Tool to retrieve all available OAuth scopes supported by the Reddit API. Use when you need to understand what permissions are available or check scope definitions. |
| `REDDIT_GET_SUBREDDIT_RULES` | Get subreddit rules | Fetch the explicit posting rules for a subreddit to ensure compliance before posting or commenting. Use when you need to verify content meets community guidelines or explain subreddit requirements to users. |
| `REDDIT_GET_SUBREDDITS_SEARCH` | Search subreddits | Tool to search subreddits by title and description. Use when you need to find subreddits matching a specific topic or keyword. Returns a paginated listing of subreddits with their details including subscribers, descriptions, and other metadata. |
| `REDDIT_GET_USER_FLAIR` | Get user flair | Fetches the list of user flair assignments for a given subreddit. Returns paginated results with user flair details. Returned flair_id values are scoped to the specific subreddit and must not be reused across different subreddits. |
| `REDDIT_GET_USERNAME_AVAILABLE` | Check username availability | Tool to check whether a username is available for registration on Reddit. Use when you need to verify if a username can be used to create a new account. |
| `REDDIT_LIST_SUBREDDIT_POST_FLAIRS` | List subreddit post flairs | List available link/post flairs for a subreddit (including flair_template_id) so posts can satisfy flair-required validation. Use when you need to discover valid flair IDs before creating a post in a subreddit that requires flair. Note: Reddit may return empty or deny access if the authenticated user cannot set link flair and is not a moderator. |
| `REDDIT_POST_REDDIT_COMMENT` | Post a comment | Posts a comment on Reddit, replying to an existing submission (post) or another comment. Fails if the target thread is locked, archived, or restricted — verify thread state beforehand. Rapid successive calls trigger Reddit RATELIMIT errors with explicit cooldown hints (e.g., 'take a break for 9 minutes'); honor the specified wait before retrying. A successful API response does not guarantee public visibility — automod or spam filters may silently remove the comment. Publishes immediately and publicly; confirm target and text before executing. |
| `REDDIT_RETRIEVE_POST_COMMENTS` | Retrieve Comments for a Post | Retrieves all comments for a Reddit post given its base-36 article ID. Response is a two-element listings array: post metadata in `listings[0]`; comments in `listings[1].data.children` with text at each `[].data.body` and nested replies under each comment's `replies` field. Replies require recursive traversal to capture full discussion. Large, locked, or archived threads may return truncated trees or `more` placeholders rather than full results. Filter out comments where `body` is `[deleted]` or `[removed]`; use `parent_id` to reconstruct conversation flow. No time-filter parameter — compare `created_utc` against a UTC cutoff to filter by date. |
| `REDDIT_RETRIEVE_REDDIT_POST` | Retrieve posts from subreddit | Retrieves posts from a specified, publicly accessible subreddit. Responses nest post data under `data.children[].data`; inspect the structure before parsing. Pagination uses a `data.after` cursor; deduplicate across pages by post `id`. No built-in date filtering; compare `created_utc` (Unix seconds, UTC) client-side. Rate limit: ~1–2 requests/second; back off on HTTP 429. |
| `REDDIT_RETRIEVE_SPECIFIC_COMMENT` | Retrieve specific comment or post | Retrieves detailed information for a single Reddit comment or post using its fullname. Returns only the specified item, not surrounding thread context; use REDDIT_RETRIEVE_POST_COMMENTS for full discussion retrieval. Deleted, removed, or quarantined items may return empty or partial payloads. |
| `REDDIT_SEARCH_ACROSS_SUBREDDITS` | Search across subreddits | Searches Reddit for posts/comments using a query. Results nested under `data.children[i].data` (kind `t3` for posts); a `posts` array may also appear — inspect actual response path. No native time-range filter; compare `created_utc` (Unix epoch, UTC) client-side for recency filtering. Empty `children` is a valid no-results outcome. Key post fields: `score`, `num_comments`, `created_utc`, `permalink`. Rate limit: ~1–2 requests/sec; HTTP 429 indicates throttling. |
| `REDDIT_TOGGLE_INBOX_REPLIES` | Enable or disable inbox replies | Enable or disable inbox replies for a submission or comment. Use when you want to control whether you receive inbox notifications for replies to your own posts or comments. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

## Related Toolkits

- [Facebook](https://composio.dev/toolkits/facebook) - Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages.
- [Linkedin](https://composio.dev/toolkits/linkedin) - LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections.
- [Active campaign](https://composio.dev/toolkits/active_campaign) - ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach.
- [ActiveTrail](https://composio.dev/toolkits/active_trail) - ActiveTrail is a user-friendly email marketing and automation platform. It helps you reach subscribers and automate campaigns with ease.
- [Ahrefs](https://composio.dev/toolkits/ahrefs) - Ahrefs is an SEO and marketing platform for site audits, keyword research, and competitor insights. It helps you improve search rankings and drive organic traffic.
- [Amcards](https://composio.dev/toolkits/amcards) - AMCards lets you create and mail personalized greeting cards online. Build stronger customer relationships with easy, automated card campaigns.
- [Beamer](https://composio.dev/toolkits/beamer) - Beamer is a news and changelog platform for in-app announcements and feature updates. It helps companies boost user engagement by sharing news where users are most active.
- [Benchmark email](https://composio.dev/toolkits/benchmark_email) - Benchmark Email is a platform for creating, sending, and tracking email campaigns. It's built to help you engage audiences and analyze results—all in one place.
- [Bigmailer](https://composio.dev/toolkits/bigmailer) - BigMailer is an email marketing platform for managing multiple brands with white-labeling and automation. It helps teams streamline campaigns and simplify integration with Amazon SES.
- [Brandfetch](https://composio.dev/toolkits/brandfetch) - Brandfetch is an API that delivers company logos, colors, and visual branding assets. It helps marketers and developers keep brand visuals consistent everywhere.
- [Brevo](https://composio.dev/toolkits/brevo) - Brevo is an all-in-one email and SMS marketing platform for transactional messaging, automation, and CRM. It helps businesses engage customers and streamline communications through powerful campaign tools.
- [Campayn](https://composio.dev/toolkits/campayn) - Campayn is an email marketing platform for creating, sending, and managing campaigns. It helps businesses engage contacts and grow audiences with easy-to-use tools.
- [Cardly](https://composio.dev/toolkits/cardly) - Cardly is a platform for creating and sending personalized direct mail to customers. It helps businesses break through the digital clutter by getting real engagement via physical mailboxes.
- [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management.
- [Crustdata](https://composio.dev/toolkits/crustdata) - CrustData is an AI-powered data intelligence platform for real-time company and people data. It helps B2B sales teams, AI SDRs, and investors react to live business signals.
- [Curated](https://composio.dev/toolkits/curated) - Curated is a platform for collecting, curating, and publishing newsletters. It streamlines content aggregation and distribution for creators and teams.
- [Customerio](https://composio.dev/toolkits/customerio) - Customer.io is a customer engagement platform for targeted messaging across email, SMS, and push. Easily automate, segment, and track communications with your audience.
- [Cutt ly](https://composio.dev/toolkits/cutt_ly) - Cutt.ly is a URL shortening service for managing and analyzing links. Streamline your workflows with quick, trackable, and branded short URLs.
- [Demio](https://composio.dev/toolkits/demio) - Demio is webinar software built for marketers, offering both live and automated sessions with interactive features. It helps teams engage audiences and optimize lead generation through detailed analytics.
- [Doppler marketing automation](https://composio.dev/toolkits/doppler_marketing_automation) - Doppler marketing automation is a platform for creating, sending, and tracking email campaigns. It helps you automate marketing workflows and manage subscriber lists for better engagement.

## Frequently Asked Questions

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

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

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

Yes, absolutely. You can configure which Reddit 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 Reddit 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)