How to Use the Amplience MCP in Pydantic AI
Run type-safe Amplience updates with Pydantic AI to guarantee runtime schema validation.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
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
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith 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 callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Amplience MCP in Pydantic AI
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