How to Use the Envoke Marketing MCP in Pydantic AI

Q: How do I use Envoke Marketing with Pydantic AI?

You install the package and initialize the MCPToolset. This allows your agent to call tools while verifying every response against your Pydantic models.

Strictly type-safe marketing operations for Pydantic AI with this MCP Server.

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Connect Envoke Marketing MCP to Pydantic AI

Create your Vinkius account to connect Envoke Marketing 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 Envoke Marketing with Pydantic AI

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Pydantic AI Type Validation

Every response from `get_campaign_performance_stats` is validated against your Pydantic models at runtime. If the API returns malformed data, the agent halts immediately. Use `list_successfully_sent_campaigns` to populate your typed objects. This guarantees your agent only acts on confirmed, valid data structures.

Reliable Contact Searches

Search for contacts using `search_contacts_by_email` and receive a strictly typed profile. Your agent logic relies on these guaranteed schemas for all downstream processing. Retrieve full history via `get_contact_profile`. The Pydantic validation layer ensures every field matches your expected format before the agent proceeds.

Safe Account Audits

Run `quick_marketing_volume_audit` to verify your current status. The agent validates these counts against your type-safe business rules before initiating any new campaigns. Monitor API limits with `get_envoke_account_metadata`. Pydantic AI enforces these constraints, preventing your agent from exceeding your account capacity.

Setup guide

Set up Envoke Marketing 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": {
        "envoke-marketing-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about Envoke Marketing MCP in Pydantic AI

You install the package and initialize the `MCPToolset`. This allows your agent to call tools while verifying every response against your Pydantic models.

Yes. By using the toolset, Pydantic AI automatically validates the server's output. Any unexpected field causes an immediate, audible failure.

This combination eliminates silent data corruption. You get the speed of automation with the certainty that your agent is handling correct, validated information.

You can pass multiple toolsets to your agent. Your agent manages the state between these tools while maintaining strict type safety across all requests.

The server runs as an isolated process. Your contact information is never cached or stored by Vinkius, ensuring your data remains within your controlled environment.

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