# How to integrate Reddit MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Reddit MCP with Vercel AI SDK v6", "toolkit": "Reddit", "toolkit_slug": "reddit", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/reddit/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/reddit/framework/ai-sdk.md", "updated_at": "2026-05-12T10:23:35.659Z" } ``` ## Introduction This guide walks you through connecting Reddit to Vercel AI SDK v6 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 Vercel AI 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) - [OpenAI Agents SDK](https://composio.dev/toolkits/reddit/framework/open-ai-agents-sdk) - [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) - [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: - How to set up and configure a Vercel AI SDK agent with Reddit integration - Using Composio's Tool Router to dynamically load and access Reddit tools - Creating an MCP client connection using HTTP transport - Building an interactive CLI chat interface with conversation history management - Handling tool calls and results within the Vercel AI SDK framework ## What is Vercel AI SDK? The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state. Key features include: - streamText: Core function for streaming responses with real-time tool support - MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp - Step Counting: Control multi-step tool execution with stopWhen: stepCountIs() - OpenAI Provider: Native integration with OpenAI models ## 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 you begin, make sure you have: - Node.js and npm installed - A Composio account with API key - An OpenAI API key ### 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). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install required dependencies First, install the necessary packages for your project. What you're installing: - @ai-sdk/openai: Vercel AI SDK's OpenAI provider - @ai-sdk/mcp: MCP client for Vercel AI SDK - @composio/core: Composio SDK for tool integration - ai: Core Vercel AI SDK - dotenv: Environment variable management ```bash npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's needed: - OPENAI_API_KEY: Your OpenAI API key for GPT model access - COMPOSIO_API_KEY: Your Composio API key for tool access - COMPOSIO_USER_ID: A unique identifier for the user session ```bash OPENAI_API_KEY=your_openai_api_key_here COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_user_id_here ``` ### 4. Import required modules and validate environment What's happening: - We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio - The dotenv/config import automatically loads environment variables - The MCP client import enables connection to Composio's tool server ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey, }); ``` ### 5. Create Tool Router session and initialize MCP client What's happening: - We're creating a Tool Router session that gives your agent access to Reddit tools - The create method takes the user ID and specifies which toolkits should be available - The returned mcp object contains the URL and authentication headers needed to connect to the MCP server - This session provides access to all Reddit-related tools through the MCP protocol ```typescript async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["reddit"], }); const mcpUrl = session.mcp.url; ``` ### 6. Connect to MCP server and retrieve tools What's happening: - We're creating an MCP client that connects to our Composio Tool Router session via HTTP - The mcp.url provides the endpoint, and mcp.headers contains authentication credentials - The type: "http" is important - Composio requires HTTP transport - tools() retrieves all available Reddit tools that the agent can use ```typescript const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); ``` ### 7. Initialize conversation and CLI interface What's happening: - We initialize an empty messages array to maintain conversation history - A readline interface is created to accept user input from the command line - Instructions are displayed to guide the user on how to interact with the agent ```typescript let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to reddit, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); ``` ### 8. Handle user input and stream responses with real-time tool feedback What's happening: - We use streamText instead of generateText to stream responses in real-time - toolChoice: "auto" allows the model to decide when to use Reddit tools - stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations - onStepFinish callback displays which tools are being used in real-time - We iterate through the text stream to create a typewriter effect as the agent responds - The complete response is added to conversation history to maintain context - Errors are caught and displayed with helpful retry suggestions ```typescript rl.on("line", async (userInput: string) => { const trimmedInput = userInput.trim(); if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } messages.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Complete Code ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey, }); async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["reddit"], }); const mcpUrl = session.mcp.url; const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to reddit, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); rl.on("line", async (userInput: string) => { const trimmedInput = userInput.trim(); if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } messages.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Conclusion You've successfully built a Reddit agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback. Key features of this implementation: - Real-time streaming responses for a better user experience with typewriter effect - Live tool execution feedback showing which tools are being used as the agent works - Dynamic tool loading through Composio's Tool Router with secure authentication - Multi-step tool execution with configurable step limits (up to 10 steps) - Comprehensive error handling for robust agent execution - Conversation history maintenance for context-aware responses You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows. ## How to build Reddit MCP Agent with another framework - [ChatGPT](https://composio.dev/toolkits/reddit/framework/chatgpt) - [OpenAI Agents SDK](https://composio.dev/toolkits/reddit/framework/open-ai-agents-sdk) - [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) - [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 Vercel AI SDK v6? Yes, you can. Vercel AI SDK v6 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. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)