# How to integrate Instagram MCP with Pydantic AI ```json { "title": "How to integrate Instagram MCP with Pydantic AI", "toolkit": "Instagram", "toolkit_slug": "instagram", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/instagram/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/instagram/framework/pydantic-ai.md", "updated_at": "2026-05-06T08:16:38.800Z" } ``` ## Introduction This guide walks you through connecting Instagram to Pydantic AI 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 Pydantic AI 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) - [CrewAI](https://composio.dev/toolkits/instagram/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up your Composio API key and User ID - How to create a Composio Tool Router session for Instagram - How to attach an MCP Server to a Pydantic AI agent - How to stream responses and maintain chat history - How to build a simple REPL-style chat interface to test your Instagram workflows ## What is Pydantic AI? Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications. Key features include: - Type Safety: Built on Pydantic for automatic data validation - MCP Support: Native support for Model Context Protocol servers - Streaming: Built-in support for streaming responses - Async First: Designed for async/await patterns ## 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 with an active API key - Basic familiarity with Python and async programming ### 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 Install the required libraries. What's happening: - composio connects your agent to external SaaS tools like Instagram - pydantic-ai lets you create structured AI agents with tool support - python-dotenv loads your environment variables securely from a .env file ```bash pip install composio pydantic-ai python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your agent to Composio's API - USER_ID associates your session with your account for secure tool access - OPENAI_API_KEY to access OpenAI LLMs ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key ``` ### 4. Import dependencies What's happening: - We load environment variables and import required modules - Composio manages connections to Instagram - MCPServerStreamableHTTP connects to the Instagram MCP server endpoint - Agent from Pydantic AI lets you define and run the AI assistant ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() ``` ### 5. Create a Tool Router Session What's happening: - We're creating a Tool Router session that gives your agent access to Instagram tools - The create method takes the user ID and specifies which toolkits should be available - The returned session.mcp.url is the MCP server URL that your agent will use ```python async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Instagram composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["instagram"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") ``` ### 6. Initialize the Pydantic AI Agent What's happening: - The MCP client connects to the Instagram endpoint - The agent uses GPT-5 to interpret user commands and perform Instagram operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent instagram_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[instagram_mcp], instructions=( "You are a Instagram assistant. Use Instagram tools to help users " "with their requests. Ask clarifying questions when needed." ), ) ``` ### 7. Build the chat interface What's happening: - The agent reads input from the terminal and streams its response - Instagram API calls happen automatically under the hood - The model keeps conversation history to maintain context across turns ```python # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Instagram.\n") while True: user_input = input("You: ").strip() if user_input.lower() in {"exit", "quit", "bye"}: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() ``` ### 8. Run the application What's happening: - The asyncio loop launches the agent and keeps it running until you exit ```python if __name__ == "__main__": asyncio.run(main()) ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Instagram composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["instagram"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") # Attach the MCP server to a Pydantic AI Agent instagram_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[instagram_mcp], instructions=( "You are a Instagram assistant. Use Instagram tools to help users " "with their requests. Ask clarifying questions when needed." ), ) # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Instagram.\n") while True: user_input = input("You: ").strip() if user_input.lower() in {"exit", "quit", "bye"}: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You've built a Pydantic AI agent that can interact with Instagram through Composio's Tool Router. With this setup, your agent can perform real Instagram actions through natural language. You can extend this further by: - Adding other toolkits like Gmail, HubSpot, or Salesforce - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Instagram for workflow automation) This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations. ## 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) - [CrewAI](https://composio.dev/toolkits/instagram/framework/crew-ai) ## 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 Pydantic AI? Yes, you can. Pydantic 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 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)