How to integrate WoopSocial MCP with Mastra AI

This guide walks you through connecting WoopSocial to Mastra AI using the Composio tool router. By the end, you'll have a working WoopSocial agent that can create draft posts, view posts, list your projects, browse media, and manage your social accounts through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a WoopSocial account through Composio's WoopSocial MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

WoopSocial logoWoopSocial
Api Key

WoopSocial is a social media management API for publishing, scheduling, media, projects, accounts, and webhooks. It helps teams manage social workflows from one programmable platform.

20 Tools

Introduction

This guide walks you through connecting WoopSocial to Mastra AI using the Composio tool router. By the end, you'll have a working WoopSocial agent that can create draft posts, view posts, list your projects, browse media, and manage your social accounts through natural language commands.

This guide will help you understand how to give your Mastra AI agent real control over a WoopSocial account through Composio's WoopSocial MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate WoopSocial with

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes WoopSocial tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch WoopSocial tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your WoopSocial agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

What is the WoopSocial MCP server, and what's possible with it?

The WoopSocial MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your WoopSocial account. It provides structured and secure access to your social posts, media, projects, connected accounts, and webhooks, so your agent can draft, validate, publish, schedule, and track social content on your behalf.

  • Post drafting and validation: Have your agent create draft posts and validate proposed content before it reaches your audience.
  • Publishing and scheduling: Direct your agent to publish social posts immediately or schedule them for a future date and time.
  • Content and delivery tracking: Let the agent retrieve posts and review delivery records by project, connected account, platform, or status.
  • Media, project, and account management: Instruct your agent to upload or remove media, create or delete projects, and review or remove connected social accounts.
  • Publishing event notifications: Have your agent register, review, or remove webhooks for successful and failed publishing events.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach WoopSocial through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) 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 as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for WoopSocial

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["woop_social"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("WoopSocial MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "woop_social" for WoopSocial access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the WoopSocial toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "woop_social-mastra-agent",
    instructions: "You are an AI agent with WoopSocial tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\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({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        woop_social: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and WoopSocial toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with WoopSocial and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) 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 as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["woop_social"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      woop_social: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "woop_social-mastra-agent",
    instructions: "You are an AI agent with WoopSocial tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { woop_social: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with WoopSocial through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows
TOOLS

Supported Tools

Every WoopSocial action and event your agent gets out of the box.

Create Draft Post

Save a post as a WoopSocial draft without publishing it externally.

Create Project

Create a WoopSocial project in the API key's organization.

Delete Media

Permanently delete one WoopSocial media-library item by its exact, explicitly supplied media ID.

Delete Post

Permanently delete a parent post by its exact ID.

Delete Project

Permanently delete a WoopSocial project by an exact, explicitly supplied project ID.

Delete Social Account

Permanently remove a connected social account from WoopSocial using its exact ID.

Delete Social Account Post

Permanently delete one social-account-specific post delivery using its exact delivery ID.

Delete Webhook

Permanently delete one WoopSocial webhook endpoint using its exact, explicitly supplied webhook ID.

Get Post

Get a parent post and its per-social-account delivery records by post ID.

Get Social Account Platform Inputs

Get dynamic Pinterest board choices or TikTok posting-policy options for a connected social account before constructing a post target.

List Media

List one page of WoopSocial media-library items, optionally filtered by project or exact media IDs.

List Projects

List all projects accessible to the connected WoopSocial API key.

List Social Account Posts

List one page of per-account post deliveries, optionally filtered by projects, social accounts, parent posts, platforms, or delivery statuses.

List Social Accounts

List connected social accounts available for publishing, optionally within one project.

List Webhooks

List registered WoopSocial webhook endpoints and their subscribed events.

Publish Post Now

Publish a post to external social platforms now; external publication is an irreversible action.

Register Webhook

Register a public HTTPS endpoint for WoopSocial publishing-success and/or publishing-failure events.

Schedule Post

Schedule automatic future publication to external social platforms; that future publication is irreversible.

Upload Media

Upload one image or video of at most 100 MB into a WoopSocial project using the atomic multipart endpoint.

Validate Post

Validate a proposed WoopSocial post without creating it.

FAQ

Frequently asked questions

With a standalone WoopSocial MCP server, the agents and LLMs can only access a fixed set of WoopSocial tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from WoopSocial and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Mastra AI 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 WoopSocial tools.

Yes, absolutely. You can configure which WoopSocial 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.

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 WoopSocial data and credentials are handled as safely as possible.

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