Kit (ConvertKit) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Kit (ConvertKit) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Kit (ConvertKit) Assistant",
instructions=(
"You help users interact with Kit (ConvertKit). "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Kit (ConvertKit)"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Kit (ConvertKit) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Kit (ConvertKit), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Kit (ConvertKit) MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Kit (ConvertKit)
Why Use OpenAI Agents SDK with the Kit (ConvertKit) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Kit (ConvertKit) through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Kit (ConvertKit) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Kit (ConvertKit) MCP Server delivers measurable value.
Automated workflows: build agents that query Kit (ConvertKit), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Kit (ConvertKit), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Kit (ConvertKit) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Kit (ConvertKit) to resolve tickets, look up records, and update statuses without human intervention
Kit (ConvertKit) MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Kit (ConvertKit) to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Kit (ConvertKit) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Kit (ConvertKit) + OpenAI Agents SDK FAQ
Common questions about integrating Kit (ConvertKit) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Kit (ConvertKit) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Kit (ConvertKit) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
