How to integrate WordPress.com MCP with Pydantic AI

This guide walks you through connecting WordPress.com to Pydantic AI using the Composio tool router. By the end, you'll have a working WordPress.com agent that can list your sites, review your content, draft posts, update drafts, and view subscriptions through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a WordPress.com account through Composio's WordPress.com MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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WordPress.com is a hosted website and blogging platform for building sites, publishing posts, and managing media. It gives creators and teams a simple way to publish, grow, and measure content online.

10 Tools

Introduction

This guide walks you through connecting WordPress.com to Pydantic AI using the Composio tool router. By the end, you'll have a working WordPress.com agent that can list your sites, review your content, draft posts, update drafts, and view subscriptions through natural language commands.

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

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

Also integrate WordPress.com 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 WordPress.com
  • 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 WordPress.com 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 WordPress.com MCP server, and what's possible with it?

The WordPress.com MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your WordPress.com account. It provides structured and secure access to your sites, posts, pages, drafts, media, comments, statistics, and Reader subscriptions, so your agent can review sites, find content, manage draft posts, explore site resources, and gather writing ideas on your behalf.

  • Draft post management: Have your agent create, revise, review, or permanently delete draft posts while keeping unpublished work private.
  • Content discovery and review: Instruct your agent to search posts and pages, read editable content, check publication status, or browse posts from a site.
  • Site overview and traffic insights: Let the agent summarize your site's identity, plan, settings, capabilities, and recent traffic information.
  • Media, comments, and taxonomy review: Direct your agent to list media, comments, categories, tags, or site users when planning and organizing content.
  • Writing prompts and Reader subscriptions: Have your agent find relevant WordPress.com blogging prompts or review the sites and feeds followed by your account.

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 WordPress.com
  • 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 WordPress.com
  • MCPServerStreamableHTTP connects to the WordPress.com 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 WordPress.com
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["wordpress_com"],
    )
    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 WordPress.com 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
wordpress_com_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[wordpress_com_mcp],
    instructions=(
        "You are a WordPress.com assistant. Use WordPress.com tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the WordPress.com endpoint
  • The agent uses GPT-5 to interpret user commands and perform WordPress.com 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 WordPress.com.\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
  • WordPress.com 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 WordPress.com 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 WordPress.com
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["wordpress_com"],
    )
    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
    wordpress_com_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[wordpress_com_mcp],
        instructions=(
            "You are a WordPress.com assistant. Use WordPress.com 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 WordPress.com.\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 WordPress.com through Composio's Tool Router. With this setup, your agent can perform real WordPress.com 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 + WordPress.com 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 WordPress.com action and event your agent gets out of the box.

Create Draft Post

Create a non-public draft post on an authorized site.

Delete Draft Post

Permanently delete an existing draft post after verifying it is still a draft.

Get Post

Get one post by ID in editable context, including raw content and its current status.

Get Site Overview

Get concise identity, plan, capabilities, editable settings, and traffic summary for one authorized site.

List Blogging Prompts

List WordPress.

List CMS Resources

List categories, tags, comments, media, or users for an authorized site through one consistent paginated read tool.

List Content

List and search editable posts or pages on an authorized site, including drafts, with compact raw and rendered content fields and agent-controlled pagination.

List Reader Subscriptions

List feeds and sites followed by the connected WordPress.

List Sites

List every WordPress.

Update Draft Post

Update title, body, excerpt, taxonomy, featured media, or comment policy for an existing draft.

FRAMEWORKS

How to build WordPress.com MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use WordPress.com MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use WordPress.com MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use WordPress.com MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use WordPress.com MCP with Claude Cowork

Codex logo

Codex

Use WordPress.com MCP with Codex

OpenClaw logo

OpenClaw

Use WordPress.com MCP with OpenClaw

Hermes logo

Hermes

Use WordPress.com MCP with Hermes

CLI logo

CLI

Use WordPress.com MCP with CLI

Google ADK logo

Google ADK

Use WordPress.com MCP with Google ADK

LangChain logo

LangChain

Use WordPress.com MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use WordPress.com MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use WordPress.com MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use WordPress.com MCP with LlamaIndex

CrewAI logo

CrewAI

Use WordPress.com MCP with CrewAI

FAQ

Frequently asked questions

With a standalone WordPress.com MCP server, the agents and LLMs can only access a fixed set of WordPress.com tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from WordPress.com 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 WordPress.com tools.

Yes, absolutely. You can configure which WordPress.com 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 WordPress.com data and credentials are handled as safely as possible.

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