How to integrate Sanity MCP with Pydantic AI

This guide walks you through connecting Sanity to Pydantic AI using the Composio tool router. By the end, you'll have a working Sanity agent that can list recent sanity posts needing review, create draft product page in sanity, update author bio across sanity articles through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Sanity account through Composio's Sanity MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Introduction

This guide walks you through connecting Sanity to Pydantic AI using the Composio tool router. By the end, you'll have a working Sanity agent that can list recent sanity posts needing review, create draft product page in sanity, update author bio across sanity articles through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Sanity account through Composio's Sanity MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Sanity with

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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 Sanity
  • 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 Sanity 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 Sanity MCP server, and what's possible with it?

The Sanity MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Sanity account. It provides structured and secure access to your content, project details, resource users, and credential status, so your agent can query documents, delete content, inspect projects, review user roles, and validate credentials on your behalf.

  • Structured content queries: Instruct your agent to find and retrieve documents from your Sanity datasets using precise content criteria.
  • Content deletion: Have your agent remove specific documents or batches of matching content you no longer need.
  • Project details: Let the agent retrieve full information about a Sanity project whenever you need configuration or account context.
  • User and role review: Direct your agent to list people who can access a resource and review their assigned roles.
  • Credential validation: Have your agent confirm that your Sanity credentials work and identify the authenticated user.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
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
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Sanity
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

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
5

Import dependencies

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()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Sanity
  • MCPServerStreamableHTTP connects to the Sanity MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

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 Sanity
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["sanity"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Sanity 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
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
sanity_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[sanity_mcp],
    instructions=(
        "You are a Sanity assistant. Use Sanity tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Sanity endpoint
  • The agent uses GPT-5 to interpret user commands and perform Sanity operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

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 Sanity.\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()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Sanity API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Sanity and Pydantic AI:

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 Sanity
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["sanity"],
    )
    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
    sanity_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[sanity_mcp],
        instructions=(
            "You are a Sanity assistant. Use Sanity 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 Sanity.\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 Sanity through Composio's Tool Router. With this setup, your agent can perform real Sanity 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 + Sanity for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

Every Sanity action and event your agent gets out of the box.

Add Default Role to Users

Apply organization default role to all users.

Create Attribute Definition

Tool to create a new user attribute definition in Sanity.

Create Prompt Post

Send a one-shot prompt to the Sanity Content Agent.

Delete User Attribute Definition

Delete a user attribute definition.

Delete Document

Delete a document from Sanity by ID or query.

Delete User Attributes

Delete custom attributes from a Sanity user within an organization.

Get Document by ID

Fetch a single document by its ID from Sanity.

Get Invite By Token

Retrieve an invite by its public token.

Get Organization Role

Retrieve a specific organization role by its ID.

Get Permission

Get a permission for a specific resource.

Get Project

Retrieve full details for a specific Sanity project by its ID.

Get Robots

Tool to get robots with access to a resource.

Get Role

Retrieve a specific role for a given resource type and resource ID.

List Resource Users

List all users of a resource and their assigned roles.

List Organization Roles

List all roles available for an organization.

List User Attributes

Tool to retrieve user attributes from a Sanity organization.

Query All Screening

Execute a GROQ query to fetch all screening documents from Sanity.

Query Documents

Execute an arbitrary GROQ query against a Sanity dataset.

Update Organization ACL

Tool to assign a role to a member in a Sanity organization.

Update User Attributes Values

Update user attribute values for a resource.

Validate Credential

Validate Sanity API credentials by fetching the authenticated user's information.

FRAMEWORKS

How to build Sanity MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Sanity MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Sanity MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Sanity MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Sanity MCP with Claude Cowork

Codex logo

Codex

Use Sanity MCP with Codex

OpenClaw logo

OpenClaw

Use Sanity MCP with OpenClaw

Hermes logo

Hermes

Use Sanity MCP with Hermes

CLI logo

CLI

Use Sanity MCP with CLI

Google ADK logo

Google ADK

Use Sanity MCP with Google ADK

LangChain logo

LangChain

Use Sanity MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Sanity MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Sanity MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Sanity MCP with LlamaIndex

CrewAI logo

CrewAI

Use Sanity MCP with CrewAI

FAQ

Frequently asked questions

With a standalone Sanity MCP server, the agents and LLMs can only access a fixed set of Sanity tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Sanity and many other apps based on the task at hand, all through a single MCP endpoint.

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 Sanity tools.

Yes, absolutely. You can configure which Sanity 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.

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 Sanity data and credentials are handled as safely as possible.

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