How to integrate ContentStudio MCP with LlamaIndex

This guide walks you through connecting ContentStudio to LlamaIndex using the Composio tool router. By the end, you'll have a working ContentStudio agent that can create social posts, manage your inbox, add comments and notes, build campaigns, and create workspaces through natural language commands. This guide will help you understand how to give your LlamaIndex agent real control over a ContentStudio account through Composio's ContentStudio MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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ContentStudio is a social media management platform for publishing, collaboration, analytics, and social inbox workflows. It helps teams plan, manage, and measure social content from one shared workspace.

72 Tools

Introduction

This guide walks you through connecting ContentStudio to LlamaIndex using the Composio tool router. By the end, you'll have a working ContentStudio agent that can create social posts, manage your inbox, add comments and notes, build campaigns, and create workspaces through natural language commands.

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

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

Also integrate ContentStudio with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AICrewAI

TL;DR

Here's what you'll learn:
  • Set your OpenAI and Composio API keys
  • Install LlamaIndex and Composio packages
  • Create a Composio Tool Router session for ContentStudio
  • Connect LlamaIndex to the ContentStudio MCP server
  • Build a ContentStudio-powered agent using LlamaIndex
  • Interact with ContentStudio through natural language

What is LlamaIndex?

LlamaIndex is a data framework for building LLM applications. It provides tools for connecting LLMs to external data sources and services through agents and tools.

Key features include:

  • ReAct Agent: Reasoning and acting pattern for tool-using agents
  • MCP Tools: Native support for Model Context Protocol
  • Context Management: Maintain conversation context across interactions
  • Async Support: Built for async/await patterns

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

The ContentStudio MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your ContentStudio account. It provides structured and secure access to social publishing, workspace collaboration, analytics, and Social Inbox workflows, so your agent can create and schedule posts, organize campaigns, analyze performance, manage inbox activity, and coordinate team workflows on your behalf.

  • Social post publishing: Have your agent create drafts, queue or schedule posts, add media and first comments, and apply campaigns, labels, approval options, and platform-specific settings.
  • Campaign and content organization: Let the agent create, find, and remove campaigns or labels, and review content categories available in your workspace.
  • Social performance analytics: Direct your agent to review account summaries, audience growth, demographics, engagement, publishing patterns, media performance, and insights across supported social platforms.
  • Social Inbox management: Instruct your agent to review conversations and comments, add internal notes, apply tags, mark items done or pending, archive activity, and remove supported messages or replies.
  • Workspace collaboration: Have your agent create workspaces, invite team or client members, review approval workflows, and add comments or notes to posts for clearer collaboration.

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 step10 STEPS
1

Prerequisites

Before you begin, make sure you have:
  • Python 3.8/Node 16 or higher installed
  • A Composio account with the API key
  • An OpenAI API key
  • A ContentStudio account and project
  • Basic familiarity with async Python/Typescript
2

Getting API Keys for OpenAI, Composio, and ContentStudio

OpenAI API key (OPENAI_API_KEY)
  • Go to the OpenAI dashboard
  • Create an API key if you don't have one
  • Assign it to OPENAI_API_KEY in .env
Composio API key and user ID
  • Log into the Composio dashboard
  • Copy your API key from Settings
    • Use this as COMPOSIO_API_KEY
  • Pick a stable user identifier (email or ID)
    • Use this as COMPOSIO_USER_ID
3

Installing dependencies

npm install @composio/llamaindex @llamaindex/openai @llamaindex/tools @llamaindex/workflow dotenv

Create a new Typescript project and install the necessary dependencies:

  • @composio/llamaindex: Composio's LlamaIndex integration
  • @llamaindex/openai: OpenAI LLM integration
  • @llamaindex/tools: MCP client for LlamaIndex
  • @llamaindex/workflow: Workflow framework for LlamaIndex
  • dotenv: Environment variable management
4

Set environment variables

bash
OPENAI_API_KEY=your-openai-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id

Create a .env file in your project root:

These credentials will be used to:

  • Authenticate with OpenAI's GPT-5 model
  • Connect to Composio's Tool Router
  • Identify your Composio user session for ContentStudio access
5

Import modules

import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

Create a new file called contentstudio_llamaindex_agent.ts and import the required modules:

Key imports:

  • dotenv.config loads .env at runtime
  • readline gives us a simple CLI chat loop
  • Composio is the main Composio SDK client
  • mcp connects to an MCP endpoint
  • createAgent builds a LlamaIndex agent
  • openai configures the LLM backend
6

Load environment variables and initialize Composio

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!COMPOSIO_API_KEY) throw new Error("COMPOSIO_API_KEY is not set");
if (!COMPOSIO_USER_ID) throw new Error("COMPOSIO_USER_ID is not set");

What's happening:

This ensures missing credentials cause early, clear errors before the agent attempts to initialise.

7

Create a Tool Router session and build the agent function

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["content_studio"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
        description : "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform ContentStudio actions." ,
    llm,
    tools,
  });

  return agent;
}

What's happening here:

  • We create a Composio client using your API key and configure it with the LlamaIndex provider
  • We then create a tool router MCP session for your user, specifying the toolkits we want to use (in this case, contentstudio)
  • The session returns an MCP HTTP endpoint URL that acts as a gateway to all your configured tools
  • LlamaIndex will connect to this endpoint to dynamically discover and use the available ContentStudio tools.
  • The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.
8

Create an interactive chat loop

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

What's happening:

  • We're creating a direct terminal interface to chat with ContentStudio
  • The LLM's responses are streamed to the CLI for faster interaction.
  • The agent uses context to maintain conversation history
  • The agent processes the request, selects appropriate ContentStudio tools, and returns a result
  • We extract the answer from the result data structure and display it to the user
  • You can type 'quit' or 'exit' to stop the chat loop gracefully
  • Agent responses and any errors are streamed in a clear, readable format
9

Define the main entry point

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err) {
    console.error("Failed to start agent:", err);
    process.exit(1);
  }
}

main();

What's happening here:

  • We're orchestrating the entire application flow
  • The agent gets built with proper error handling
  • Then we kick off the interactive chat loop so you can start talking to ContentStudio
10

Run the agent

npx ts-node llamaindex-agent.ts

When prompted, authenticate and authorise your agent with ContentStudio, then start asking questions.

Complete Code

Here's the complete code to get you started with ContentStudio and LlamaIndex:

import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";
import { LlamaindexProvider } from "@composio/llamaindex";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) {
    throw new Error("OPENAI_API_KEY is not set in the environment");
  }
if (!COMPOSIO_API_KEY) {
    throw new Error("COMPOSIO_API_KEY is not set in the environment");
  }
if (!COMPOSIO_USER_ID) {
    throw new Error("COMPOSIO_USER_ID is not set in the environment");
  }

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["content_studio"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
    description:
      "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform ContentStudio actions." ,
    llm,
    tools,
  });

  return agent;
}

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err: any) {
    console.error("Failed to start agent:", err?.message ?? err);
    process.exit(1);
  }
}

main();

Conclusion

You've successfully connected ContentStudio to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:
  • Tool Router dynamically exposes ContentStudio tools through an MCP endpoint
  • LlamaIndex's ReActAgent handles reasoning and orchestration; Composio handles integrations
  • The agent becomes more capable without increasing prompt size
  • Async Python provides clean, efficient execution of agent workflows
You can easily extend this to other toolkits like Gmail, Notion, Stripe, GitHub, and more by adding them to the toolkits parameter.
TOOLS

Supported Tools

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

Add Facebook Group Account

Add a Facebook Group to a ContentStudio workspace through the manual connection flow.

Add Inbox Note

Create an internal note on a ContentStudio Social Inbox conversation, optionally mentioning workspace users.

Add Post Comment

Add a collaboration comment to a ContentStudio post, optionally mentioning workspace users.

Add Post Note

Add an internal note to a ContentStudio post.

Bulk Set Inbox Elements Archived

Archive or unarchive 1-100 ContentStudio Social Inbox elements in one provider batch.

Bulk Set Inbox Elements Status

Set the workflow status of 1-100 ContentStudio Social Inbox elements to done or pending in one provider batch.

Connect Bluesky Account

Connect a Bluesky profile directly to a ContentStudio workspace using its handle and a Bluesky app password.

Create Campaign

Create a named, color-coded campaign in a ContentStudio workspace.

Create Inbox Tag

Create a named, color-coded Social Inbox tag in a ContentStudio workspace.

Create Label

Create a named, color-coded label in a ContentStudio workspace.

Create Post

Create a draft, queued, content-category, or scheduled ContentStudio post with complete media, platform publishing, first-comment, label, campaign, and approval options.

Create Workspace

Create a ContentStudio workspace with its required name, logo URL, and timezone.

Delete Campaign

Permanently delete a campaign from a ContentStudio workspace.

Delete Inbox Comment

Permanently delete one public ContentStudio Social Inbox comment from its connected social platform.

Delete Inbox Message

Soft-delete one ContentStudio Social Inbox message from its connected platform account.

Delete Inbox Review Reply

Permanently delete the business reply from one ContentStudio Social Inbox review.

Delete Inbox Tags

Permanently delete one or more ContentStudio Social Inbox tags by ID.

Delete Label

Permanently delete a label from a ContentStudio workspace.

Delete Post

Permanently delete a ContentStudio post and optionally attempt deletion from selected or all social accounts where it was published.

Delete Workspace

Permanently delete a workspace and its workspace-scoped state.

Get AI Insights

Generate AI analytics insights for one connected Facebook, GMB, Instagram, LinkedIn, Pinterest, TikTok, or YouTube account using one of seven fixed ContentStudio routes.

Get Analytics Summary

Return current-versus-previous summary KPIs for one connected Facebook, GMB, Instagram, LinkedIn, Pinterest, TikTok, Twitter, or YouTube account.

Get Audience Demographics

Return a supported Facebook, Instagram, LinkedIn, or YouTube audience demographics report through one of eight fixed ContentStudio routes.

Get Audience Growth Analytics

Return audience, follower, or subscriber growth for one connected social account through an explicit platform, report, and granularity combination.

Get Content Analytics

Get analytics for one platform-native Facebook, GMB, Instagram, LinkedIn, Pinterest, TikTok, Twitter, or YouTube content item.

Get Current User

Return the active ContentStudio user associated with the connected API key.

Get Engagement Analytics

Return active-user, impression, engagement, action, page-view, view, or watch-time analytics from one of 21 fixed ContentStudio routes.

Get GMB Activity Analytics

Return Google Business Profile search-keyword, review, or media-activity analytics from one of exactly three documented routes.

Get Inbox Contact

Get the contact profile associated with a ContentStudio Social Inbox element.

Get Media Performance Analytics

Return Facebook reel/video, Instagram hashtag/story/reel, or LinkedIn hashtag performance through one of six fixed ContentStudio routes.

Get Publishing Analytics

Return publishing behavior, posting cadence, pin rollups, YouTube discovery or sharing, or performance-schedule analytics from one of 12 documented routes.

Get Twitter Credits Used

Return Twitter/X API credits consumed by one connected account over a date range.

Invite Team Member

Invite a team or client member to a ContentStudio workspace with a role and the provider's exact structured permission map.

List Approval Workflows

List published approval workflows available in a ContentStudio workspace.

List Campaigns

List or search campaigns in a ContentStudio workspace and return campaign IDs for post assignment.

List Connection Platforms

List every social platform supported by ContentStudio account connection and identify whether each uses OAuth, credentials, or a manual flow.

List Content Categories

List or search content categories in a ContentStudio workspace and return category IDs usable when targeting posts.

List Facebook Text Backgrounds

List every Facebook colored-text background preset ID usable in facebook_options on plain-text posts.

List Inbox Conversation Content

List messages, internal notes, or bookmarked messages for one ContentStudio Social Inbox conversation.

List Inbox Post Comments

List public Social Inbox comment threads for a platform post reference.

List Inbox Tags

List all Social Inbox tags in a ContentStudio workspace.

List Labels

List or search labels in a ContentStudio workspace.

List Media

List and filter media-library assets in a ContentStudio workspace.

List Post Comments

List collaboration comments and internal notes on a ContentStudio post.

List Posts

List ContentStudio workspace posts using status, date, approval, label, campaign, content-category, creator, and comment-state filters.

List Ranked Content Analytics

List one offset-paginated page of top, least-performing, sorted, or pin-performance content analytics for one connected account.

List Social Accounts

List connected social accounts in a ContentStudio workspace.

List Team Members

List or search team members in a ContentStudio workspace and return user and membership IDs, roles, memberships, and available permissions.

List Workspaces

List workspaces accessible to the connected account and return workspace IDs for workspace-scoped tools.

Mark Inbox Element Read

Mark one ContentStudio Social Inbox element as read.

Merge Inbox Tags

Irreversibly replace at least two ContentStudio Social Inbox source tags with one tag using the requested name and color.

Remove Social Account

Disconnect a social account from a ContentStudio workspace.

Remove Team Member

Permanently remove a member from a ContentStudio workspace.

Reply To Inbox Review

Publish a public business reply to a ContentStudio Social Inbox review, replacing its existing reply when one exists.

Review Post Approval

Approve or reject a ContentStudio post that is under review, optionally recording a review comment.

Search Inbox Elements

Search one page of ContentStudio Social Inbox conversations, posts, and reviews using status, text, tag, channel, and targeted-element filters.

Send Inbox Comment

Publish a public comment or reply on a ContentStudio Social Inbox post.

Send Inbox Message

Send a Facebook or Instagram direct message through ContentStudio Social Inbox, optionally with one image or video attachment.

Send Inbox Private Reply

Send a Facebook private reply from a ContentStudio Social Inbox post as a private message, optionally with an attachment.

Set Inbox Comment Hidden

Hide or unhide one ContentStudio Social Inbox comment.

Set Inbox Comment Liked

Like or unlike one ContentStudio Social Inbox comment.

Set Inbox Message Bookmarked

Bookmark or unbookmark one ContentStudio Social Inbox message.

Summarize Inbox Elements

Count ContentStudio Social Inbox conversations, posts, and reviews by all, unassigned, mine, assigned, marked-done, and archived states, optionally filtering by element type and social channel.

Update Campaign

Update a campaign's name or color.

Update Inbox Contact

Partially update the name, email, phone, or company of the contact associated with a ContentStudio Social Inbox element.

Update Inbox Element Tags

Add one or more tags to a ContentStudio Inbox element or remove one tag from it.

Update Inbox Tag

Update a ContentStudio Social Inbox tag's name or color.

Update Label

Update a label's name or color.

Update Post

Fully replace an unpublished post's content, accounts, scheduling, platform options, labels, campaign, and approval configuration.

Update Team Member

Replace a workspace member's role and complete permission map, and optionally replace their team or client membership class.

Update Workspace

Update selected settings of an existing workspace.

Upload Media

Upload one media file or import one public media URL into a ContentStudio workspace media library.

FRAMEWORKS

How to build ContentStudio MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use ContentStudio MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use ContentStudio MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use ContentStudio MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use ContentStudio MCP with Claude Cowork

Codex logo

Codex

Use ContentStudio MCP with Codex

OpenClaw logo

OpenClaw

Use ContentStudio MCP with OpenClaw

Hermes logo

Hermes

Use ContentStudio MCP with Hermes

CLI logo

CLI

Use ContentStudio MCP with CLI

Google ADK logo

Google ADK

Use ContentStudio MCP with Google ADK

LangChain logo

LangChain

Use ContentStudio MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use ContentStudio MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use ContentStudio MCP with Mastra AI

CrewAI logo

CrewAI

Use ContentStudio MCP with CrewAI

FAQ

Frequently asked questions

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

Yes, you can. LlamaIndex 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 ContentStudio tools.

Yes, absolutely. You can configure which ContentStudio 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 ContentStudio data and credentials are handled as safely as possible.

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