How to Use the Agility CMS MCP in Pydantic AI

Q: How do I initialize Agility CMS in Pydantic AI?

Install pydantic-ai-slimmcp. Create an MCPToolset pointing to your Vinkius HTTP endpoint, then pass it in the toolsets array to your Agent.

Q: Can Pydantic AI check the size of an Agility CMS reference list?

It can. The agent uses countreferenceitems to retrieve the total item count. This integer is validated by Pydantic before the agent decides to paginate through the list.

Q: Does Pydantic AI support retrieving Agility CMS media?

Yes. The getmediagallery tool fetches specific media gallery mappings. Your agent receives the photo data, and Pydantic ensures the URLs and metadata match your expected types.

Type-safe Agility CMS integration for Pydantic AI. Validate every page layout and content item before your agent acts.

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Connect Agility CMS MCP to Pydantic AI

Create your Vinkius account to connect Agility CMS to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Agility CMS with Pydantic AI

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Validate Agility CMS Data with Pydantic AI

The `get_single_item` tool fetches an article body by its numeric ID, and Pydantic AI instantly validates the structure. Silent failures ruin production systems. If the CMS returns an unexpected field, your agent fails loudly instead of making things up. Searching works the same way. When the agent uses `search_content_reference` to find keywords, the resulting content reference list gets checked against your models at runtime. You get exactly the data shape you asked for.

Map Site Architecture Safely

The `get_site_flat_router` tool pulls the exact flat list of all CMS routes. Navigating a headless CMS requires precise routing data. Your agent knows every available page without guessing. For deeper structural analysis, `get_site_tree` retrieves the nested sitemap of a digital channel. Pydantic AI ensures the nested JSON matches your schema perfectly before passing it to any local or cloud model.

Sync Content via MCP Server

The `sync_incremental_items` tool grabs only the records modified since a specific sync token. Keeping your local database updated requires reliable diffs. Your agent processes these updates efficiently. Page structures update too. Calling `sync_incremental_pages` fetches the latest structural changes. You configure the Vinkius MCP endpoint via the toolset and let the unified approach handle the streamable HTTP transport.

Setup guide

Set up Agility CMS MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "agility-cms-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Agility CMS tools.",
)

result = await agent.run("List recent Agility CMS transactions")
print(result.output)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Agility CMS. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Agility CMS MCP in Pydantic AI

Install pydantic-ai-slim[mcp]. Create an MCPToolset pointing to your Vinkius HTTP endpoint, then pass it in the toolsets array to your Agent.

It can. The agent uses count_reference_items to retrieve the total item count. This integer is validated by Pydantic before the agent decides to paginate through the list.

Yes. The get_media_gallery tool fetches specific media gallery mappings. Your agent receives the photo data, and Pydantic ensures the URLs and metadata match your expected types.

The older MCPServerHTTP class is deprecated. MCPToolset provides a cleaner, model-agnostic way to connect the MCP Server and enforce strict runtime validation on all CMS responses.

This server handles flat routing lists, page modules, and article bodies. Vinkius isolates the connection in a managed sandbox where authentication is handled externally, ensuring your routing data never leaks to unauthorized clients.

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