Can my agent keep track of incremental updates to my CMS items?

Yes. The agent has tools specifically designed to fetch incremental updates using a sync token. It can request only the CMS items or pages that have changed (created, updated, or deleted) since the last automated sync, optimizing fetch latency.

How do I find the correct Reference Name to query content?

Reference Names match the identifiers predefined in your Agility CMS Models architecture (such as 'articles', 'authors', or 'posts'). If you are unsure, ask the agent to scan common variables based on your company's naming conventions.

Can my agent preview unpublished drafting content?

That depends on the API Token you supply during the integration. If you provide a Preview API Key, the agent will have read-access to the staging and drafted documents. If you provide a Fetch API key, it will only see published items.

Agility CMS MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Agility CMS
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Agility CMS through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Agility CMS "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Agility CMS?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

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<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Agility CMS MCP Server

Connect your Agility CMS instance to your AI agent and turn it into the ultimate Headless CMS assistant. Skip manual API queries and interact directly with your content architecture using natural language.

Pydantic AI validates every Agility CMS tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Sitemap & Routing — Retrieve nested sitemap trees or flat router architectures to understand how your channels are structured
Content Lists — Search, list, and count items across specific CMS references like articles, authors, or products
Page Layouts — Fetch exact page modules, UI components mapping, and structural layout definitions using Page IDs
Content Operations — Read full content payloads for individual items and synchronize granular CMS updates over time
Media Galleries — Fetch specific media asset groups and tracking galleries for imagery

The Agility CMS MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Agility CMS to Pydantic AI via MCP

Follow these steps to integrate the Agility CMS MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Agility CMS with type-safe schemas

Why Use Pydantic AI with the Agility CMS MCP Server

Pydantic AI provides unique advantages when paired with Agility CMS through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Agility CMS integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Agility CMS connection logic from agent behavior for testable, maintainable code

Agility CMS + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Agility CMS MCP Server delivers measurable value.

Type-safe data pipelines: query Agility CMS with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Agility CMS tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Agility CMS and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Agility CMS responses and write comprehensive agent tests

Agility CMS MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Agility CMS to Pydantic AI via MCP:

count_reference_items

Get the total size/count of items in a specific Reference List

get_media_gallery

Retrieve a specific media gallery mapping containing photos

get_page_layout

Retrieve the layout and structural modules of a single Page

get_single_item

g., an article body) knowing its numeric content ID. Retrieve a single Agility CMS content item by its ID

get_site_flat_router

Retrieve the exact flat list of all CMS routes/pages

get_site_tree

Requires the target channel name. Retrieve the nested sitemap architecture of a digital channel

list_content_items

g. blog posts, articles, authors). The items are retrieved from the Headless CMS environment. List content items from an Agility CMS Reference list

search_content_reference

Search for specific keywords inside a Content Reference List

sync_incremental_items

Start with 0 for full backup. Get incrementally updated items since the last sync token

sync_incremental_pages

Start with 0 for a full fetch. Get incrementally updated pages since the last sync token

Example Prompts for Agility CMS in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Agility CMS immediately.

"Get the flat sitemap for our website to see all registered routes."

"Search the 'blog_posts' reference list for the keyword 'announcement'."

"Retrieve the full page layout and modules for page ID 12."

Troubleshooting Agility CMS MCP Server with Pydantic AI

Common issues when connecting Agility CMS to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Agility CMS + Pydantic AI FAQ

Common questions about integrating Agility CMS MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Agility CMS MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.