# How to integrate Mural MCP with Pydantic AI ```json { "title": "How to integrate Mural MCP with Pydantic AI", "toolkit": "Mural", "toolkit_slug": "mural", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/mural/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/mural/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:19:37.878Z" } ``` ## Introduction This guide walks you through connecting Mural to Pydantic AI using the Composio tool router. By the end, you'll have a working Mural agent that can add sticky notes summarizing team feedback, list all image files on project mural, show all widgets in today's brainstorming board through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Mural account through Composio's Mural MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Mural with - [OpenAI Agents SDK](https://composio.dev/toolkits/mural/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/mural/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/mural/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/mural/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/mural/framework/codex) - [OpenClaw](https://composio.dev/toolkits/mural/framework/openclaw) - [Hermes](https://composio.dev/toolkits/mural/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/mural/framework/cli) - [Google ADK](https://composio.dev/toolkits/mural/framework/google-adk) - [LangChain](https://composio.dev/toolkits/mural/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/mural/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/mural/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/mural/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/mural/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 Mural - 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 Mural 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 Mural MCP server, and what's possible with it? The Mural MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Mural account. It provides structured and secure access to your digital whiteboards, so your agent can perform actions like creating sticky notes, retrieving board widgets, managing files, and accessing user info on your behalf. - Automated sticky note creation: Instantly add one or more sticky notes to any mural for fast brainstorming, idea capture, or task tracking via your agent. - Widget and content retrieval: Have your agent fetch all widgets within a specific mural, making it easy to analyze, summarize, or organize the board's contents programmatically. - File management on murals: Let your agent list all file attachments within a mural, so you can monitor, catalog, or process embedded documents and images effortlessly. - User information access: Retrieve details about the current authenticated user, enabling personalized actions and tailored workflows across your Mural workspace. - Seamless OAuth authorization: Easily initiate secure, managed authentication flows so your agent can access and act on your behalf without manual credential handling. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `MURAL_AUTHORIZATION_REQUEST` | MURAL Authorization Request | Tool to initiate the OAuth 2.0 authorization process. Use when you need to redirect a user to Mural to obtain an authorization code. | | `MURAL_CREATE_STICKY_NOTE` | Create sticky note | Create one or more sticky note widgets on a mural. Each sticky note must be a properly structured object with required x and y coordinates. Pass the 'stickies' parameter as a direct array of objects - NOT strings, NOT nested objects. Example usage: { "muralId": "mural-id-here", "stickies": [ {"x": 100, "y": 200, "text": "First note"}, {"x": 300, "y": 400, "text": "Second note", "shape": "circle"} ] } | | `MURAL_GET_CURRENT_USER` | Get current user | Tool to retrieve information about the currently authenticated user. Use when you need current user details after authentication. | | `MURAL_GET_FILES_FOR_MURAL` | Get files for a mural | Tool to retrieve a list of file widgets in a mural. Use after confirming the mural ID when listing file attachments. | | `MURAL_GET_MURAL_WIDGETS` | Get Mural Widgets | Tool to retrieve all widgets within a specified mural. Widgets include sticky notes, text boxes, shapes, images, areas, arrows, icons, files, and comments. Use this after obtaining a valid mural ID from workspace murals or other mural-related actions. Supports filtering by widget type, parent container, and pagination for large result sets. | | `MURAL_GET_ROOM` | Get room by ID | Tool to retrieve information about a specific room by its ID. Use when you need details about a particular room that the authenticated user has read access to. | | `MURAL_GET_WORKSPACE` | Get workspace by ID | Tool to retrieve information about a specific workspace by its ID. Use when you need details about a particular workspace that the authenticated user has read access to. | | `MURAL_GET_WORKSPACES` | Get workspaces | Tool to retrieve all workspaces the authenticated user is a member of. Use to list available workspaces before accessing rooms or murals. | | `MURAL_LIST_FOLDERS` | List folders in room | Tool to list all folders within a room that the authenticated user has access to. Use after MURAL_LIST_ROOMS to navigate folders within a specific room. | | `MURAL_LIST_OPEN_ROOMS` | List open rooms in workspace | Tool to list all discoverable open rooms within a workspace. Use when you need to access publicly available rooms in a workspace that don't require specific membership. | | `MURAL_LIST_RECENT_MURALS` | List recent murals in workspace | Tool to list recently opened active murals for the authenticated user in a workspace. Use after MURAL_LIST_WORKSPACES to view recent murals before opening or editing them. | | `MURAL_LIST_RECENT_TEMPLATES` | List recent templates | Tool to retrieve recent templates used by a user for a workspace. Use when you need to access recently used templates for creating new murals. | | `MURAL_LIST_ROOM_MURALS` | List murals in room | Tool to list all murals for a room that the authenticated user has read access to. Use after getting a room ID to retrieve murals within that room. | | `MURAL_LIST_ROOMS` | List rooms in workspace | Tool to list all rooms within a workspace. Use after MURAL_LIST_WORKSPACES to navigate rooms and before MURAL_CREATE_MURAL, since murals are created within rooms. | | `MURAL_LIST_ROOM_USERS` | List users in room | Tool to list all members and guests for a room. Returns users that the authenticated user has access to view. Use after LIST_ROOMS to get room membership details. | | `MURAL_LIST_TAGS` | List tags in a mural | Tool to retrieve all tags in a mural. Use when you need to list or view tags associated with a specific mural. | | `MURAL_LIST_TEMPLATES` | List default templates | Tool to retrieve all default templates available in Mural. Use when you need to browse or select from standard Mural templates. | | `MURAL_LIST_WORKSPACE_MURALS` | List workspace murals | Tool to list all murals in a workspace that the authenticated user owns or is a member of. Use after getting a workspace ID to browse available murals. | | `MURAL_LIST_WORKSPACE_TEMPLATES` | List workspace templates | Tool to get default and custom templates for a workspace. Use when you need to list available templates after authentication. | | `MURAL_SEARCH_MURALS` | Search murals in workspace | Tool to search for murals within a workspace. Returns all murals that the authenticated user owns or is a member of for the specified workspace. Use when searching for specific murals by query text. | | `MURAL_SEARCH_ROOMS` | Search rooms in workspace | Tool to search for rooms within a workspace by name or description. Returns all rooms that the authenticated user owns or is a member of matching the query. Use when you need to find specific rooms by search text. | | `MURAL_SEARCH_TEMPLATES` | Search templates in workspace | Tool to search templates within a workspace that the authenticated user owns or has access to. Use when you need to find specific templates by name or keyword. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Mural MCP server is an implementation of the Model Context Protocol that connects your AI agent to Mural. It provides structured and secure access so your agent can perform Mural 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 Mural - 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 Mural - MCPServerStreamableHTTP connects to the Mural 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 Mural 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 Mural composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["mural"], ) 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 Mural endpoint - The agent uses GPT-5 to interpret user commands and perform Mural operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent mural_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[mural_mcp], instructions=( "You are a Mural assistant. Use Mural 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 - Mural 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 Mural.\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 Mural composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["mural"], ) 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 mural_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[mural_mcp], instructions=( "You are a Mural assistant. Use Mural 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 Mural.\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 Mural through Composio's Tool Router. With this setup, your agent can perform real Mural 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 + Mural 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 Mural MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/mural/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/mural/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/mural/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/mural/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/mural/framework/codex) - [OpenClaw](https://composio.dev/toolkits/mural/framework/openclaw) - [Hermes](https://composio.dev/toolkits/mural/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/mural/framework/cli) - [Google ADK](https://composio.dev/toolkits/mural/framework/google-adk) - [LangChain](https://composio.dev/toolkits/mural/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/mural/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/mural/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/mural/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/mural/framework/crew-ai) ## Related Toolkits - [Figma](https://composio.dev/toolkits/figma) - Figma is a collaborative interface design tool for teams and individuals. It streamlines design workflows with real-time collaboration and easy sharing. - [Abyssale](https://composio.dev/toolkits/abyssale) - Abyssale is a creative automation platform for generating images, videos, GIFs, PDFs, and HTML5 content programmatically. It streamlines and scales visual content production for marketing, design, and operations teams. - [Alttext ai](https://composio.dev/toolkits/alttext_ai) - AltText.ai is a service that generates alt text for images automatically. It helps boost accessibility and SEO for your visual content. - [Bannerbear](https://composio.dev/toolkits/bannerbear) - Bannerbear is an API-driven platform for generating images and videos automatically at scale. It helps businesses create custom graphics, social visuals, and marketing assets using powerful templates. - [Canva](https://composio.dev/toolkits/canva) - Canva is a drag-and-drop design suite for creating professional graphics, presentations, and marketing materials. It makes it easy for anyone to design with beautiful templates and a vast library of elements. - [Claid ai](https://composio.dev/toolkits/claid_ai) - Claid.ai delivers AI-driven image editing APIs for tasks like background removal, upscaling, and color correction. It helps automate and enhance image workflows with powerful, developer-friendly tools. - [Cloudinary](https://composio.dev/toolkits/cloudinary) - Cloudinary is a cloud-based platform for managing, uploading, and transforming images and videos. It streamlines media workflows and delivers optimized assets globally. - [Cults](https://composio.dev/toolkits/cults) - Cults is a digital marketplace for 3D printing models, connecting designers and makers. It lets creators share, sell, and discover a huge variety of printable designs easily. - [DeepImage](https://composio.dev/toolkits/deepimage) - DeepImage is an AI-powered image enhancer and upscaler. Get higher-quality images with just a few clicks. - [Dreamstudio](https://composio.dev/toolkits/dreamstudio) - DreamStudio is Stability AI’s platform for generating and editing images with AI. It lets you easily turn ideas into stunning visuals, fast. - [Dynapictures](https://composio.dev/toolkits/dynapictures) - Dynapictures is a cloud-based platform for generating personalized images at scale. Instantly create hundreds of custom visuals using your data sources, like Google Sheets. - [Fal.ai](https://composio.dev/toolkits/fal_ai) - Fal.ai is a generative media platform offering 600+ AI models for images, video, voice, and audio. Developers use Fal.ai for fast, scalable access to cutting-edge generative AI tools. - [Gamma](https://composio.dev/toolkits/gamma) - Gamma is an AI-powered platform for making beautiful, interactive presentations and documents. It lets anyone create and share engaging decks with minimal effort. - [Html to image](https://composio.dev/toolkits/html_to_image) - Html to image converts HTML and CSS into images or captures web page screenshots. Instantly generate visuals from code or web content—no manual screenshots needed. - [Imagior](https://composio.dev/toolkits/imagior) - Imagior is an AI-powered image generation platform that lets you create and customize images using dynamic templates and APIs. Perfect for businesses and creators needing fast, scalable visuals without design hassle. - [Imejis io](https://composio.dev/toolkits/imejis_io) - Imejis io is an API-based image generation platform with powerful customization and template support. It lets you create and modify images in seconds, no manual design work required. - [Imgix](https://composio.dev/toolkits/imgix) - Imgix is a real-time image processing and delivery service for developers. It helps you optimize, transform, and deliver images efficiently at any scale. - [Kraken io](https://composio.dev/toolkits/kraken_io) - Kraken.io is an image optimization and compression platform. It helps you shrink image file sizes while keeping visual quality intact. - [Logo dev](https://composio.dev/toolkits/logo_dev) - Logo.dev is an API and database for high-resolution company logos and brand metadata. Instantly fetch official logos from any domain without scraping or manual searching. - [Miro](https://composio.dev/toolkits/miro) - Miro is a collaborative online whiteboard platform for teams to brainstorm, design, and manage projects visually. It streamlines teamwork by enabling real-time idea sharing, diagramming, and workflow planning in a single space. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Mural MCP? With a standalone Mural MCP server, the agents and LLMs can only access a fixed set of Mural tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Mural 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 Mural tools. ### Can I manage the permissions and scopes for Mural while using Tool Router? Yes, absolutely. You can configure which Mural 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 Mural data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)