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Freshmarketer MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Freshmarketer through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Freshmarketer "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Freshmarketer?"
    )
    print(result.data)

asyncio.run(main())
Freshmarketer
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Freshmarketer MCP Server

Connect your Freshmarketer account (part of the Freshsales Suite) to any AI agent to automate your marketing operations through the Model Context Protocol (MCP). Freshmarketer helps you engage your audience with personalized email campaigns and automated journeys. This MCP server enables you to manage your contact database, organize mailing lists, and trigger transactional emails directly through natural conversation.

Pydantic AI validates every Freshmarketer tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

Key Features

  • Contact Management — List all marketing contacts, retrieve detailed profiles, and create or update contacts instantly.
  • Audience Segmentation — Access and list your configured mailing lists to understand how your audience is segmented.
  • Transactional Emails — Trigger specific transactional campaigns to individual contacts directly from the chat interface.
  • Journey Insights — Monitor your active and paused marketing automation journeys.
  • Event Tracking — Post custom events to a contact's timeline to programmatically trigger specific automation flows.
  • Real-time Data Sync — Keep your marketing data synchronized with your CRM seamlessly.

The Freshmarketer MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Freshmarketer to Pydantic AI via MCP

Follow these steps to integrate the Freshmarketer MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from Freshmarketer with type-safe schemas

Why Use Pydantic AI with the Freshmarketer MCP Server

Pydantic AI provides unique advantages when paired with Freshmarketer through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Freshmarketer integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Freshmarketer connection logic from agent behavior for testable, maintainable code

Freshmarketer + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Freshmarketer MCP Server delivers measurable value.

01

Type-safe data pipelines: query Freshmarketer with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Freshmarketer tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Freshmarketer and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Freshmarketer responses and write comprehensive agent tests

Freshmarketer MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Freshmarketer to Pydantic AI via MCP:

01

check_account_status

Verify API status

02

create_mailing_list

Create new mailing list

03

get_contact_details

Get contact metadata

04

list_contacts

List marketing contacts

05

list_custom_events

List configured events

06

list_journeys

List marketing journeys

07

list_mailing_lists

List mailing lists

08

post_custom_event

Trigger custom event

09

send_transactional_email

Trigger an email

10

upsert_contact

Create or update contact

Example Prompts for Freshmarketer in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Freshmarketer immediately.

01

"List my 5 most recent marketing contacts."

02

"Show me all active mailing lists in my account."

03

"Trigger the 'Welcome Email' (Campaign ID: 123) for 'newuser@example.com'."

Troubleshooting Freshmarketer MCP Server with Pydantic AI

Common issues when connecting Freshmarketer to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Freshmarketer + Pydantic AI FAQ

Common questions about integrating Freshmarketer MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Freshmarketer MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Freshmarketer to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.