How to Use the Expansify AI MCP in Pydantic AI

Q: How do I set up Expansify AI in Pydantic AI?

Install the client library using pip install "pydantic-ai-slimmcp". Then, instantiate MCPToolset with your Vinkius MCP Server HTTP endpoint and pass it directly to your Agent's toolsets.

Q: How do I fetch my campaign list safely?

Your agent calls listcampaigns, which returns a typed list of campaigns. Pydantic AI automatically parses these into your defined models for safe execution.

Run type-safe marketing workflows with Pydantic AI to guarantee valid SEO and campaign data.

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Connect Expansify AI MCP to Pydantic AI

Create your Vinkius account to connect Expansify AI 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 Expansify AI with Pydantic AI

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Validate search metrics with Pydantic AI

The `analyze_keyword_seo` tool returns structured search data that Pydantic AI validates at runtime. If the API response misses a key metric, the framework raises a validation error immediately. Your agent calls `list_tracked_keywords` to fetch active search terms. Using this MCP Server ensures that every keyword object matches your Python schemas perfectly, preventing silent data corruption.

Register marketing campaigns with zero schema errors

The `create_campaign` tool registers marketing projects while validating input fields against your Pydantic models. This prevents malformed campaign parameters from hitting your database. The agent uses `list_campaigns` to pull active campaigns into your application state. Every campaign record is parsed into typed Python objects, making downstream data handling predictable.

Generate validated marketing copy

The `generate_ai_content` tool drafts marketing content based on strict input schemas from this MCP. Your agent can trust that the output contains the exact fields required by your CMS. Your agent calls `list_generated_content` to retrieve and verify draft histories. This strict validation loop ensures your automated pipeline never outputs broken or incomplete content.

Setup guide

Set up Expansify AI 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": {
        "expansify-ai-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about Expansify AI MCP in Pydantic AI

Install the client library using `pip install "pydantic-ai-slim[mcp]"`. Then, instantiate `MCPToolset` with your Vinkius MCP Server HTTP endpoint and pass it directly to your Agent's toolsets.

Yes. Pydantic AI enforces type checks on all outputs from tools like `generate_ai_content`, failing loudly if the returned copy doesn't match your schemas.

Yes. Pydantic AI is model-agnostic, meaning you can run your marketing agent using local models while calling `analyze_keyword_seo` on our hosted server.

Your agent calls `list_campaigns`, which returns a typed list of campaigns. Pydantic AI automatically parses these into your defined models for safe execution.

All generated copy and campaign parameters are transmitted via secure TLS to this MCP Server's isolated V8 sandboxes. Your data is processed ephemerally and never used for model training.

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