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How to Use the Amplience MCP in Pydantic AI

Run type-safe Amplience updates with Pydantic AI to guarantee runtime schema validation.

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Pydantic AI

Connect Amplience MCP to Pydantic AI

Create your Vinkius account to connect Amplience 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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Type-safe schema validation with Pydantic AI

The `get_content_item` tool retrieves specific content configurations along with their active schema revision locks. Pydantic AI validates this incoming JSON structure at runtime, preventing silent failures. This MCP Server ensures that any payload your agent builds matches your database requirements exactly. If the CMS API returns unexpected fields, your Python code catches the validation error immediately.

Navigate content folders with strict type checks

The `list_folders` tool returns organized directories within a specific repository. Your agent uses this data alongside `list_content_items` to locate target files without guessing paths. To establish the workspace context, the agent calls `list_hubs` and `list_repositories`. Every returned object conforms to strict type definitions, making your agentic workflows highly predictable.

Safe modifications and production deployments

The `update_content_item` tool applies structured edits to your existing content items. When those edits are verified, `publish_content_item` pushes the finalized version to the live delivery CDN. For destructive operations, `delete_content_item` enforces a version validation step before executing the removal. This extra check prevents your agent from accidentally deleting active production assets over MCP.

Setup guide

Set up Amplience MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "amplience-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Amplience. 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 Amplience MCP in Pydantic AI

Import the MCP toolset class and initialize it with your server URL. Pass this object directly into the agent's toolsets list to register all ten tools.
Yes. The toolset supports both streamable HTTP and SSE transports, allowing you to connect to your externally running MCP Server.
If `create_content_item` receives a payload that violates your schema, the framework raises a validation error. This stops the execution before bad data reaches your CMS.
Yes. The `get_delivery_content` tool fetches the exact structural matching data from the live CDN blocks so your agent can verify layout integrity.
Yes. Your credentials and CMS metadata are processed entirely in memory within a zero-trust V8 sandbox. No persistent storage is used, and the session token expires immediately after the MCP run.

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