# How to integrate Endorsal MCP with Pydantic AI ```json { "title": "How to integrate Endorsal MCP with Pydantic AI", "toolkit": "Endorsal", "toolkit_slug": "endorsal", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/endorsal/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/endorsal/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:10:22.740Z" } ``` ## Introduction This guide walks you through connecting Endorsal to Pydantic AI using the Composio tool router. By the end, you'll have a working Endorsal agent that can add new customer testimonial from recent feedback, list all active autorequest campaigns, show all testimonials submitted by this contact through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Endorsal account through Composio's Endorsal MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Endorsal with - [OpenAI Agents SDK](https://composio.dev/toolkits/endorsal/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/endorsal/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/endorsal/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/endorsal/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/endorsal/framework/codex) - [OpenClaw](https://composio.dev/toolkits/endorsal/framework/openclaw) - [Hermes](https://composio.dev/toolkits/endorsal/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/endorsal/framework/cli) - [Google ADK](https://composio.dev/toolkits/endorsal/framework/google-adk) - [LangChain](https://composio.dev/toolkits/endorsal/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/endorsal/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/endorsal/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/endorsal/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/endorsal/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 Endorsal - 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 Endorsal 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 Endorsal MCP server, and what's possible with it? The Endorsal MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Endorsal account. It provides structured and secure access to your testimonials, contacts, and campaign data, so your agent can perform actions like collecting new testimonials, managing contacts, organizing campaigns, and displaying review widgets on your behalf. - Automated testimonial collection and submission: Enable your agent to create and submit new customer testimonials directly into your Endorsal account, streamlining the feedback process. - Campaign management and insights: Let your agent retrieve and list all AutoRequest campaigns, check campaign details, and monitor their status to keep your outreach efforts on track. - Contact and testimonial organization: Easily fetch, list, and manage all contacts, as well as pull up all testimonials associated with a specific contact for better relationship tracking. - Widget and property access: Allow your agent to fetch details of specific display widgets and properties, helping you control how testimonials are showcased on your website. - Tag and metadata retrieval: Retrieve tag details and full testimonial metadata, so your agent can help organize, group, or analyze your customer feedback efficiently. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `ENDORSAL_ARCHIVE_CONTACT` | Archive Contact | Tool to archive a contact using its unique identifier. Use when you need to remove a contact from active use without permanently deleting it. | | `ENDORSAL_CREATE_CONTACT` | Create Contact | Tool to create a new contact in your Endorsal account. Use when you need to add a new contact with their email, name, and company details. Optionally add the contact to an AutoRequest campaign by providing the campaign ID. | | `ENDORSAL_CREATE_TAG` | Create Tag | Tool to create a new tag in Endorsal. Tags can be used to categorize testimonials or represent products. Use when you need to add a new organizational category or product tag. | | `ENDORSAL_CREATE_TESTIMONIAL` | Create Testimonial | Tool to submit a new testimonial. Use when adding customer feedback to your Endorsal account after gathering input. | | `ENDORSAL_DELETE_TAG` | Delete Tag | Tool to delete a tag using its unique identifier. Use when you need to remove a tag from the system permanently. | | `ENDORSAL_DELETE_TESTIMONIAL` | Delete Testimonial | Tool to permanently delete a testimonial by its ID. Use when you need to remove a testimonial from your Endorsal account. This action cannot be undone. | | `ENDORSAL_GET_AUTO_REQUEST_CAMPAIGN` | Get AutoRequest Campaign | Tool to retrieve a specific AutoRequest campaign by its unique identifier. Use when you need to fetch details of an existing AutoRequest campaign. | | `ENDORSAL_GET_CONTACT` | Get Contact | Tool to retrieve details of a specific contact by its unique identifier. Use when you have the contact ID and need to fetch complete contact details. | | `ENDORSAL_GET_TAG` | Get Tag | Tool to retrieve details of a specific tag by its unique identifier. Use when you have a tag ID and need full tag metadata. | | `ENDORSAL_GET_TESTIMONIAL` | Get Testimonial | Retrieves complete details of a specific testimonial by its ID. Returns the testimonial content, author information (name, email, company, job, location), rating, approval status, and timestamps. Use this after obtaining a testimonial ID from listing endpoints or creation operations. | | `ENDORSAL_GET_WALL_OF_LOVE` | Get Wall of Love | Retrieves the Wall of Love for a property, returning testimonials that match its configuration options. Optionally returns a fully rendered HTML widget. Use render=false (default) to get testimonial data as JSON for custom display, or render=true to get a complete HTML/CSS/JS bundle ready to embed on your website. | | `ENDORSAL_GET_WIDGET` | Get Widget | Tool to retrieve details of a specific widget by its unique identifier. Use when you need full widget details before editing or analysis. | | `ENDORSAL_LIST_ALL_TAGS` | List All Tags | Tool to retrieve a list of all Tag Objects across all properties in your Endorsal account. Use when you need to view all available tags regardless of property association. | | `ENDORSAL_LIST_AUTOREQUEST_CAMPAIGNS` | List AutoRequest Campaigns | Tool to retrieve a list of all AutoRequest campaigns. Use when you need to view both active and inactive campaigns. | | `ENDORSAL_LIST_CONTACTS` | List Contacts | Retrieves a paginated list of all contacts for a specific property in your Endorsal account. Contacts are created when testimonials are submitted or when you manually add contacts to your property. Use this action to browse your contact list, view contact details, and manage your customer database. Requires a valid property_id which can be obtained from the List Properties action. | | `ENDORSAL_LIST_CONTACT_TESTIMONIALS` | List Contact Testimonials | Retrieves all testimonials associated with a specific contact in Endorsal. A contact in Endorsal is a person or entity that has been added to your contact list, typically through manual import, API creation, or auto-request campaigns. This action returns testimonials that have been explicitly linked to the specified contact. Note: This is different from testimonials created with an email address - those are standalone testimonials. Use List Contacts to find valid contact IDs first. Use this action when you need to view all testimonials for a particular contact, such as when displaying a contact's feedback history or generating reports. | | `ENDORSAL_LIST_PROPERTIES` | List Properties | Tool to retrieve all properties for the authenticated account. Use after obtaining a valid API key and login. | | `ENDORSAL_LIST_TAGS` | List Tags | Retrieves all tags associated with a specific property in Endorsal. Tags are used to categorize and organize testimonials. Use this action when you need to view available tags for a property before assigning them to testimonials, or to get a complete list of tags for filtering purposes. | | `ENDORSAL_LIST_TAG_TESTIMONIALS` | List Tag Testimonials | Tool to retrieve all testimonials for a given tag. Use when you need to list testimonials filtered by tag ID for pagination and display. | | `ENDORSAL_LIST_TESTIMONIALS` | List Testimonials | Retrieves a paginated list of all testimonials in your Endorsal account. Use when you need to browse testimonials, generate reports, or manage customer feedback. | | `ENDORSAL_LIST_WIDGETS` | List Widgets | Retrieves all testimonial display widgets associated with your Endorsal account. Widgets are used to display collected testimonials on your website. This action returns basic information about each widget including its ID, name, status, and timestamps. No parameters required - retrieves all widgets for the authenticated account. Use this when you need to: - Enumerate available widgets for management or selection - Get widget IDs for use with other widget operations - Check widget statuses across your account | | `ENDORSAL_SEARCH_CONTACTS` | Search Contacts | Tool to search contacts using query Match Objects. Returns matching Contact Objects based on field, operator, and value criteria. Use when you need to find specific contacts by email, name, company, or other fields with flexible matching operators. | | `ENDORSAL_SEARCH_TESTIMONIALS` | Search Testimonials | Tool to search testimonials using query Match Objects. Returns matching Testimonial Objects. Use when you need to filter testimonials by specific criteria like rating, approval status, property ID, or any other testimonial field. | | `ENDORSAL_TAG_TESTIMONIAL` | Tag Testimonial | Tool to add tag(s) to a testimonial. Use when you need to categorize or associate tags with a testimonial. Supports both existing tags (by _id) and creating new tags inline. | | `ENDORSAL_UPDATE_CONTACT` | Update Contact | Tool to update a contact's information. Pass in fields you'd like to update using a 'fields' object. Use when you need to modify existing contact details. | | `ENDORSAL_UPDATE_TESTIMONIAL` | Update Testimonial | Tool to update an existing testimonial. Pass in only the fields you want to update using the 'fields' object. Use this when modifying testimonial content, author information, rating, or approval status. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Endorsal MCP server is an implementation of the Model Context Protocol that connects your AI agent to Endorsal. It provides structured and secure access so your agent can perform Endorsal 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 Endorsal - 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 Endorsal - MCPServerStreamableHTTP connects to the Endorsal 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 Endorsal 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 Endorsal composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["endorsal"], ) 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 Endorsal endpoint - The agent uses GPT-5 to interpret user commands and perform Endorsal operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent endorsal_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[endorsal_mcp], instructions=( "You are a Endorsal assistant. Use Endorsal 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 - Endorsal 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 Endorsal.\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 Endorsal composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["endorsal"], ) 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 endorsal_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[endorsal_mcp], instructions=( "You are a Endorsal assistant. Use Endorsal 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 Endorsal.\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 Endorsal through Composio's Tool Router. With this setup, your agent can perform real Endorsal 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 + Endorsal 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 Endorsal MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/endorsal/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/endorsal/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/endorsal/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/endorsal/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/endorsal/framework/codex) - [OpenClaw](https://composio.dev/toolkits/endorsal/framework/openclaw) - [Hermes](https://composio.dev/toolkits/endorsal/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/endorsal/framework/cli) - [Google ADK](https://composio.dev/toolkits/endorsal/framework/google-adk) - [LangChain](https://composio.dev/toolkits/endorsal/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/endorsal/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/endorsal/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/endorsal/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/endorsal/framework/crew-ai) ## Related Toolkits - [Reddit](https://composio.dev/toolkits/reddit) - Reddit is a social news platform with thriving user-driven communities (subreddits). It's the go-to place for discussion, content sharing, and viral marketing. - [Facebook](https://composio.dev/toolkits/facebook) - Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages. - [Linkedin](https://composio.dev/toolkits/linkedin) - LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections. - [Active campaign](https://composio.dev/toolkits/active_campaign) - ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach. - [ActiveTrail](https://composio.dev/toolkits/active_trail) - ActiveTrail is a user-friendly email marketing and automation platform. It helps you reach subscribers and automate campaigns with ease. - [Ahrefs](https://composio.dev/toolkits/ahrefs) - Ahrefs is an SEO and marketing platform for site audits, keyword research, and competitor insights. It helps you improve search rankings and drive organic traffic. - [Amcards](https://composio.dev/toolkits/amcards) - AMCards lets you create and mail personalized greeting cards online. Build stronger customer relationships with easy, automated card campaigns. - [Beamer](https://composio.dev/toolkits/beamer) - Beamer is a news and changelog platform for in-app announcements and feature updates. It helps companies boost user engagement by sharing news where users are most active. - [Benchmark email](https://composio.dev/toolkits/benchmark_email) - Benchmark Email is a platform for creating, sending, and tracking email campaigns. It's built to help you engage audiences and analyze results—all in one place. - [Bigmailer](https://composio.dev/toolkits/bigmailer) - BigMailer is an email marketing platform for managing multiple brands with white-labeling and automation. It helps teams streamline campaigns and simplify integration with Amazon SES. - [Brandfetch](https://composio.dev/toolkits/brandfetch) - Brandfetch is an API that delivers company logos, colors, and visual branding assets. It helps marketers and developers keep brand visuals consistent everywhere. - [Brevo](https://composio.dev/toolkits/brevo) - Brevo is an all-in-one email and SMS marketing platform for transactional messaging, automation, and CRM. It helps businesses engage customers and streamline communications through powerful campaign tools. - [Campayn](https://composio.dev/toolkits/campayn) - Campayn is an email marketing platform for creating, sending, and managing campaigns. It helps businesses engage contacts and grow audiences with easy-to-use tools. - [Cardly](https://composio.dev/toolkits/cardly) - Cardly is a platform for creating and sending personalized direct mail to customers. It helps businesses break through the digital clutter by getting real engagement via physical mailboxes. - [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management. - [Crustdata](https://composio.dev/toolkits/crustdata) - CrustData is an AI-powered data intelligence platform for real-time company and people data. It helps B2B sales teams, AI SDRs, and investors react to live business signals. - [Curated](https://composio.dev/toolkits/curated) - Curated is a platform for collecting, curating, and publishing newsletters. It streamlines content aggregation and distribution for creators and teams. - [Customerio](https://composio.dev/toolkits/customerio) - Customer.io is a customer engagement platform for targeted messaging across email, SMS, and push. Easily automate, segment, and track communications with your audience. - [Cutt ly](https://composio.dev/toolkits/cutt_ly) - Cutt.ly is a URL shortening service for managing and analyzing links. Streamline your workflows with quick, trackable, and branded short URLs. - [Demio](https://composio.dev/toolkits/demio) - Demio is webinar software built for marketers, offering both live and automated sessions with interactive features. It helps teams engage audiences and optimize lead generation through detailed analytics. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Endorsal MCP? With a standalone Endorsal MCP server, the agents and LLMs can only access a fixed set of Endorsal tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Endorsal 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 Endorsal tools. ### Can I manage the permissions and scopes for Endorsal while using Tool Router? Yes, absolutely. You can configure which Endorsal 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 Endorsal data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)