# How to integrate Dotsimple MCP with Pydantic AI ```json { "title": "How to integrate Dotsimple MCP with Pydantic AI", "toolkit": "Dotsimple", "toolkit_slug": "dotsimple", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/dotsimple/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/dotsimple/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:09:37.108Z" } ``` ## Introduction This guide walks you through connecting Dotsimple to Pydantic AI using the Composio tool router. By the end, you'll have a working Dotsimple agent that can list all scheduled posts for this week, delete unused media files from workspace, create a tag named 'campaign2024' with color #ff5733 through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Dotsimple account through Composio's Dotsimple MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Dotsimple with - [OpenAI Agents SDK](https://composio.dev/toolkits/dotsimple/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/dotsimple/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/dotsimple/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/dotsimple/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/dotsimple/framework/codex) - [OpenClaw](https://composio.dev/toolkits/dotsimple/framework/openclaw) - [Hermes](https://composio.dev/toolkits/dotsimple/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/dotsimple/framework/cli) - [Google ADK](https://composio.dev/toolkits/dotsimple/framework/google-adk) - [LangChain](https://composio.dev/toolkits/dotsimple/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/dotsimple/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/dotsimple/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/dotsimple/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/dotsimple/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 Dotsimple - 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 Dotsimple 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 Dotsimple MCP server, and what's possible with it? The Dotsimple MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Dotsimple account. It provides structured and secure access to your social media management tools, so your agent can create, organize, and schedule content, fetch analytics, and manage media with ease. - Seamless content planning and publishing: Instruct your agent to list posts, schedule content, and manage publishing workflows across all your connected social media accounts. - Media library management: Effortlessly browse, retrieve, and delete media files, making content curation and cleanup simple and automated. - Custom tag creation and organization: Have your agent create new tags, fetch tag details, or remove unwanted tags to keep your content organized and searchable. - Performance analytics and reporting: Quickly fetch account-level reports and metrics, enabling your agent to deliver insights and optimize your social media strategy. - Autoresponder management: Let your agent list and review all autoresponders, so you can easily keep tabs on automated engagement tools. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `DOTSIMPLE_CREATE_TAG` | Create Tag | Create a new tag in DotSimple workspace for categorizing and organizing social media content. Tags are used to label and filter posts, drafts, and media files in DotSimple. Each tag has a unique name and color for easy visual identification in the dashboard. Use this tool when you need to: - Create a new category for content organization - Set up tags before scheduling posts - Organize content by topics, campaigns, or priorities Example: Create a tag named "news" with sky blue color "#38bdf8" for news-related posts. Note: Requires workspace_id in authentication configuration. Get your workspace_id from the DotSimple dashboard URL: https://app.dotsimple.io/app/YOUR-WORKSPACE-ID/ | | `DOTSIMPLE_DELETE_MEDIA_FILES` | Delete Media Files | Deletes one or more media files (images/videos) from your DotSimple workspace. Use this tool when you need to remove media files that are no longer needed. You must provide the media file IDs as strings. Use the list_media_files tool first to get the IDs of files you want to delete. Returns a success indicator when deletion completes. | | `DOTSIMPLE_DELETE_TAG` | Delete Tag | Delete a tag by its UUID from your DotSimple workspace. Use this tool when you need to remove a specific tag. Ensure the UUID is correct before invoking. The tag will be permanently deleted from your workspace. Note: Requires workspace_id in authentication configuration. Get your workspace_id from the DotSimple dashboard URL: https://app.dotsimple.io/app/YOUR-WORKSPACE-ID/ | | `DOTSIMPLE_GET_MEDIA_FILE` | Get Media File | Tool to retrieve details of a specific media file. Use when you have the mediaFileId and need its metadata. | | `DOTSIMPLE_GET_TAG` | Get Tag by UUID | Tool to retrieve details for a specific tag by UUID. Use when you need full tag information after obtaining its identifier. | | `DOTSIMPLE_LIST_ACCOUNTS` | List Accounts | List all connected social media accounts in the DotSimple workspace. Returns details about each connected account including ID, name, type (e.g., Google, Microsoft), connection status, and credentials. Use this to discover available accounts before posting or scheduling content to social platforms. Note: Requires workspace_id to be configured in auth settings or provided as a parameter. | | `DOTSIMPLE_LIST_AUTORESPONDERS` | List Autoresponders | List all autoresponders in the DotSimple workspace with optional pagination. Returns details about each autoresponder including ID, name, and status. Use this to browse through your autoresponder setup and check their current state. Note: Requires workspace_id to be configured in auth settings or provided as a parameter. | | `DOTSIMPLE_LIST_MEDIA_FILES` | List Media Files | List all media files in a DotSimple workspace with optional pagination. This tool retrieves media files from a specific workspace. The workspace_id is required and can be found in the DotSimple dashboard URL. Use when you need to: - Browse all uploaded media files - Retrieve media file metadata (name, type, URL, thumbnail) - Paginate through media library | | `DOTSIMPLE_LIST_POSTS` | List Posts | List all posts in a DotSimple workspace with optional pagination. This tool retrieves posts from a specific workspace. The workspace_id is required and can be found in your DotSimple dashboard URL (e.g., https://app.dotsimple.io/app/YOUR-WORKSPACE-UUID/...). Use this when you need to: - View all posts in a workspace - Paginate through large sets of posts - Check post status (published/draft) - Access post metadata (author, timestamps, content) Pagination is supported via optional page and page_size parameters. | | `DOTSIMPLE_LIST_REPORTS` | List Reports | List all account-level email marketing reports from the DotSimple workspace. Returns paginated report entries with aggregated metrics for each date, including emails sent, delivered, opens, clicks, unsubscribes, bounces, and complaints. Use this to fetch account-level performance metrics chronologically after authentication. Note: Requires workspace_id to be configured in auth settings or provided as a parameter. | | `DOTSIMPLE_LIST_TAGS` | List Tags | List all tags available in a DotSimple workspace for content organization and categorization. Tags in DotSimple are used to label and categorize social media posts, drafts, and media files. Each tag has a unique name and hex color for visual identification. Use this tool when you need to: - View all available tags in the workspace - Get tag IDs for assigning to posts - Retrieve tag colors and metadata - Check existing tags before creating new ones **Required:** workspace_id (UUID format) - obtain from DotSimple dashboard URL or connection config | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Dotsimple MCP server is an implementation of the Model Context Protocol that connects your AI agent to Dotsimple. It provides structured and secure access so your agent can perform Dotsimple 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 Dotsimple - 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 Dotsimple - MCPServerStreamableHTTP connects to the Dotsimple 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 Dotsimple 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 Dotsimple composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["dotsimple"], ) 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 Dotsimple endpoint - The agent uses GPT-5 to interpret user commands and perform Dotsimple operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent dotsimple_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[dotsimple_mcp], instructions=( "You are a Dotsimple assistant. Use Dotsimple 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 - Dotsimple 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 Dotsimple.\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 Dotsimple composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["dotsimple"], ) 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 dotsimple_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[dotsimple_mcp], instructions=( "You are a Dotsimple assistant. Use Dotsimple 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 Dotsimple.\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 Dotsimple through Composio's Tool Router. With this setup, your agent can perform real Dotsimple 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 + Dotsimple 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 Dotsimple MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/dotsimple/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/dotsimple/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/dotsimple/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/dotsimple/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/dotsimple/framework/codex) - [OpenClaw](https://composio.dev/toolkits/dotsimple/framework/openclaw) - [Hermes](https://composio.dev/toolkits/dotsimple/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/dotsimple/framework/cli) - [Google ADK](https://composio.dev/toolkits/dotsimple/framework/google-adk) - [LangChain](https://composio.dev/toolkits/dotsimple/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/dotsimple/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/dotsimple/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/dotsimple/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/dotsimple/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. - [Instagram](https://composio.dev/toolkits/instagram) - Instagram is a social platform for sharing photos, videos, and stories with your audience. It helps brands and creators engage, grow, and analyze their online presence. - [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. - [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 Dotsimple MCP? With a standalone Dotsimple MCP server, the agents and LLMs can only access a fixed set of Dotsimple tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Dotsimple 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 Dotsimple tools. ### Can I manage the permissions and scopes for Dotsimple while using Tool Router? Yes, absolutely. You can configure which Dotsimple 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 Dotsimple data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)