# How to integrate Instagram MCP with CrewAI ```json { "title": "How to integrate Instagram MCP with CrewAI", "toolkit": "Instagram", "toolkit_slug": "instagram", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/instagram/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/instagram/framework/crew-ai.md", "updated_at": "2026-05-06T08:16:38.800Z" } ``` ## Introduction This guide walks you through connecting Instagram to CrewAI using the Composio tool router. By the end, you'll have a working Instagram agent that can get analytics for last week's posts, list your most recent instagram photos, fetch comments on your latest post through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Instagram account through Composio's Instagram MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Instagram with - [ChatGPT](https://composio.dev/toolkits/instagram/framework/chatgpt) - [OpenAI Agents SDK](https://composio.dev/toolkits/instagram/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/instagram/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/instagram/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/instagram/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/instagram/framework/codex) - [Cursor](https://composio.dev/toolkits/instagram/framework/cursor) - [VS Code](https://composio.dev/toolkits/instagram/framework/vscode) - [OpenCode](https://composio.dev/toolkits/instagram/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/instagram/framework/openclaw) - [Hermes](https://composio.dev/toolkits/instagram/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/instagram/framework/cli) - [Google ADK](https://composio.dev/toolkits/instagram/framework/google-adk) - [LangChain](https://composio.dev/toolkits/instagram/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/instagram/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/instagram/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/instagram/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Instagram connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Instagram - Build a conversational loop where your agent can execute Instagram operations ## What is CrewAI? CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews. Key features include: - Agent Roles: Define specialized agents with specific goals and backstories - Task Management: Create tasks with clear descriptions and expected outputs - Crew Orchestration: Combine agents and tasks into collaborative workflows - MCP Integration: Connect to external tools through Model Context Protocol ## What is the Instagram MCP server, and what's possible with it? The Instagram MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Instagram Business or Creator account. It provides structured and secure access to your Instagram content and analytics, so your agent can publish posts, analyze insights, fetch comments, manage conversations, and more—all on your behalf. - Automated post and carousel publishing: Let your agent draft and publish single-photo, video, or multi-image carousel posts to your feed with ease. - Real-time comments retrieval: Ask your agent to fetch and organize comments from any of your Instagram posts, making it simple to engage with your audience. - Insightful analytics and reporting: Request detailed insights on individual posts or your entire account, including impressions, reach, and engagement metrics. - Direct message conversation management: Retrieve details about your Instagram DM conversations, including participants and recent messages, to help you stay connected. - Profile and media access: Instantly fetch your profile details, statistics, and all media you've posted—photos, videos, and reels—so your agent can reference or repurpose your content. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `INSTAGRAM_CREATE_CAROUSEL_CONTAINER` | Create Carousel Container | Create a draft carousel post with multiple images/videos before publishing. | | `INSTAGRAM_CREATE_MEDIA_CONTAINER` | Create Media Container | Create a draft media container for photos/videos/reels before publishing. | | `INSTAGRAM_CREATE_POST` | Create Post | Publish a draft media container to instagram (final publishing step). | | `INSTAGRAM_GET_CONVERSATION` | Get Conversation | Get details about a specific instagram dm conversation (participants, etc). | | `INSTAGRAM_GET_POST_COMMENTS` | Get Post Comments | Get comments on an instagram post. | | `INSTAGRAM_GET_POST_INSIGHTS` | Get Post Insights | Get instagram post insights/analytics (impressions, reach, engagement, etc.). | | `INSTAGRAM_GET_POST_STATUS` | Get Post Status | Check the processing status of a draft post container. | | `INSTAGRAM_GET_USER_INFO` | Get User Info | Get instagram user info including profile details and statistics. | | `INSTAGRAM_GET_USER_INSIGHTS` | Get User Insights | Get instagram account-level insights/analytics (profile views, reach, impressions, etc.). | | `INSTAGRAM_GET_USER_MEDIA` | Get User Media | Get instagram user's media (posts, photos, videos). | | `INSTAGRAM_LIST_ALL_CONVERSATIONS` | List All Conversations | List all instagram dm conversations for the authenticated user. | | `INSTAGRAM_LIST_ALL_MESSAGES` | List All Messages | List all messages from a specific instagram dm conversation. | | `INSTAGRAM_MARK_SEEN` | Mark Seen | Mark instagram dm messages as read/seen for a specific user. | | `INSTAGRAM_REPLY_TO_COMMENT` | Reply To Comment | Reply to a comment on instagram media. | | `INSTAGRAM_SEND_IMAGE` | Send Image | Send an image via instagram dm to a specific user. | | `INSTAGRAM_SEND_TEXT_MESSAGE` | Send Text Message | Send a text message to an instagram user via dm. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Instagram MCP server is an implementation of the Model Context Protocol that connects your AI agent to Instagram. It provides structured and secure access so your agent can perform Instagram 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: - Python 3.9 or higher - A Composio account and API key - A Instagram connection authorized in Composio - An OpenAI API key for the CrewAI LLM - Basic familiarity with Python ### 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 dependencies **What's happening:** - composio connects your agent to Instagram via MCP - crewai provides Agent, Task, Crew, and LLM primitives - crewai-tools[mcp] includes MCP helpers - python-dotenv loads environment variables from .env ```bash pip install composio crewai crewai-tools[mcp] python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates with Composio - USER_ID scopes the session to your account - OPENAI_API_KEY lets CrewAI use your chosen OpenAI model ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies **What's happening:** - CrewAI classes define agents and tasks, and run the workflow - MCPServerHTTP connects the agent to an MCP endpoint - Composio will give you a short lived Instagram MCP URL ```python import os from composio import Composio from crewai import Agent, Task, Crew from crewai_tools import MCPServerAdapter import dotenv dotenv.load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set") ``` ### 5. Create a Composio Tool Router session for Instagram **What's happening:** - You create a Instagram only session through Composio - Composio returns an MCP HTTP URL that exposes Instagram tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["instagram"]) url = session.mcp.url ``` ### 6. Initialize the MCP Server **What's Happening:** - Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication. - MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format. - Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools. - Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops. - Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries. ```python server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users search the internet effectively", backstory="You are a helpful assistant with access to search tools.", tools=tools, verbose=False, max_iter=10, ) ``` ### 7. Create a CLI Chatloop and define the Crew **What's Happening:** - Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable. - Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean. - Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses. - Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context. - Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response. - Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity. ```python print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Complete Code ```python from crewai import Agent, Task, Crew, LLM from crewai_tools import MCPServerAdapter from composio import Composio from dotenv import load_dotenv import os load_dotenv() GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY") COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not GOOGLE_API_KEY: raise ValueError("GOOGLE_API_KEY is not set in the environment.") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set in the environment.") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set in the environment.") # Initialize Composio and create a session composio = Composio(api_key=COMPOSIO_API_KEY) session = composio.create( user_id=COMPOSIO_USER_ID, toolkits=["instagram"], ) url = session.mcp.url # Configure LLM llm = LLM( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY"), ) server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users with internet searches", backstory="You are an expert assistant with access to Composio Search tools.", tools=tools, llm=llm, verbose=False, max_iter=10, ) print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Conclusion You now have a CrewAI agent connected to Instagram through Composio's Tool Router. The agent can perform Instagram operations through natural language commands. Next steps: - Add role-specific instructions to customize agent behavior - Plug in more toolkits for multi-app workflows - Chain tasks for complex multi-step operations ## How to build Instagram MCP Agent with another framework - [ChatGPT](https://composio.dev/toolkits/instagram/framework/chatgpt) - [OpenAI Agents SDK](https://composio.dev/toolkits/instagram/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/instagram/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/instagram/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/instagram/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/instagram/framework/codex) - [Cursor](https://composio.dev/toolkits/instagram/framework/cursor) - [VS Code](https://composio.dev/toolkits/instagram/framework/vscode) - [OpenCode](https://composio.dev/toolkits/instagram/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/instagram/framework/openclaw) - [Hermes](https://composio.dev/toolkits/instagram/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/instagram/framework/cli) - [Google ADK](https://composio.dev/toolkits/instagram/framework/google-adk) - [LangChain](https://composio.dev/toolkits/instagram/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/instagram/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/instagram/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/instagram/framework/llama-index) ## Related Toolkits - [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide. - [Ayrshare](https://composio.dev/toolkits/ayrshare) - Ayrshare is a Social Media API for managing, automating, and analyzing posts across multiple platforms. It helps you streamline social media workflows and centralize analytics. - [Dotsimple](https://composio.dev/toolkits/dotsimple) - Dotsimple is a social media management platform for planning, creating, and publishing content. It helps teams boost their reach with AI-powered content generation and actionable analytics. - [Strava](https://composio.dev/toolkits/strava) - Strava is a social fitness network and app for cyclists and runners. It's perfect for tracking workouts, sharing progress, and joining active communities. - [Tiktok](https://composio.dev/toolkits/tiktok) - Tiktok is a short-form video platform for creating, sharing, and discovering viral content. It helps creators and brands reach massive audiences with creative tools and global social features. - [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable. - [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options. - [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices. - [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management. - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure. - [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Google Docs](https://composio.dev/toolkits/googledocs) - Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze. - [Google Super](https://composio.dev/toolkits/googlesuper) - Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization. - [Hubspot](https://composio.dev/toolkits/hubspot) - HubSpot is an all-in-one marketing, sales, and customer service platform. It lets teams nurture leads, automate outreach, and track every customer interaction in one place. - [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms. - [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Instagram MCP? With a standalone Instagram MCP server, the agents and LLMs can only access a fixed set of Instagram tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Instagram and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with CrewAI? Yes, you can. CrewAI 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 Instagram tools. ### Can I manage the permissions and scopes for Instagram while using Tool Router? Yes, absolutely. You can configure which Instagram 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 Instagram data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)