How do I find my Kit API Secret?

Log in to Kit, go to **Settings > Advanced**. Under 'API', click **Show** next to API Secret, copy the string, and paste it below.

Why is the API Secret required instead of the standard API Key?

The API Key only provides read access to public forms. The API Secret grants full access to manage subscribers, tags, and broadcast data as needed by this integration.

Can the agent send broadcast emails?

No. For safety, the integration is read/manage only. The agent can check campaign metrics and manage tags, but actual email sending must be done via the Kit dashboard.

Kit (ConvertKit) MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Kit (ConvertKit)
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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 Kit (ConvertKit) "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Kit (ConvertKit) MCP Server

Integrate your AI assistant with Kit (formerly ConvertKit), the email marketing platform for creators.

Pydantic AI validates every Kit (ConvertKit) 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.

What you can do

Subscriber Management — Retrieve subscriber profiles, add emails to lists, and check engagement metrics.
Tag Organization — List audience tags or apply specific markers to user segments.
Broadcast Monitoring — Check open rates, click-through metrics, and campaign statuses.

The Kit (ConvertKit) 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 Kit (ConvertKit) to Pydantic AI via MCP

Follow these steps to integrate the Kit (ConvertKit) MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 10 tools from Kit (ConvertKit) with type-safe schemas

Why Use Pydantic AI with the Kit (ConvertKit) MCP Server

Pydantic AI provides unique advantages when paired with Kit (ConvertKit) through the Model Context Protocol.

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

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Kit (ConvertKit) integration code

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

Dependency injection system cleanly separates your Kit (ConvertKit) connection logic from agent behavior for testable, maintainable code

Kit (ConvertKit) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Kit (ConvertKit) MCP Server delivers measurable value.

Type-safe data pipelines: query Kit (ConvertKit) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Kit (ConvertKit) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Kit (ConvertKit) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Kit (ConvertKit) responses and write comprehensive agent tests

Kit (ConvertKit) MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Kit (ConvertKit) to Pydantic AI via MCP:

add_subscriber_to_form

Subscribe a person to a form

apply_tag_to_subscriber

Apply a tag to a subscriber by email

get_account_growth_summary

Retrieve a high-level summary of your subscriber count

get_subscriber_details

Get details for a specific subscriber

list_all_tags

List all audience tags

list_email_sequences

List automated email sequences

list_optin_forms

List all opt-in forms

list_subscribers

List your email subscribers

search_subscriber_by_id

Retrieve a subscriber by their numeric ID

update_subscriber

Update subscriber metadata or custom fields

Example Prompts for Kit (ConvertKit) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Kit (ConvertKit) immediately.

"Get the profile and tags for 'john.doe@example.com'."

"Show the open rate and clicks from my latest broadcast."

"List all tags available in my Kit account so I can categorize new leads."

Troubleshooting Kit (ConvertKit) MCP Server with Pydantic AI

Common issues when connecting Kit (ConvertKit) to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Kit (ConvertKit) + Pydantic AI FAQ

Common questions about integrating Kit (ConvertKit) MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

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