Keap MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Keap through the 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="Keap Assistant",
instructions=(
"You help users interact with Keap. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Keap"
)
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 Keap MCP Server
Connect your Keap (formerly Infusionsoft) account to any AI agent to optimize your CRM and sales workflows. This MCP server enables your agent to interact with contacts, tags, and automation campaigns directly from natural language interfaces.
The OpenAI Agents SDK auto-discovers all 11 tools from Keap through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Keap, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Contact Management — List, retrieve, and create contact profiles to maintain your lead database
- Marketing Automation — List and monitor active campaigns and automation sequences
- Segmentation — Manage tags and apply them to contacts to trigger specific workflows
- Sales Pipeline — Query opportunities and deals to track your revenue growth
- Billing Visibility — Access invoices and orders to stay on top of customer transactions
The Keap MCP Server exposes 11 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 Keap to OpenAI Agents SDK via MCP
Follow these steps to integrate the Keap 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 11 tools from Keap
Why Use OpenAI Agents SDK with the Keap MCP Server
OpenAI Agents SDK provides unique advantages when paired with Keap 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
Keap + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Keap MCP Server delivers measurable value.
Automated workflows: build agents that query Keap, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Keap, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Keap tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Keap to resolve tickets, look up records, and update statuses without human intervention
Keap MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect Keap to OpenAI Agents SDK via MCP:
apply_tag_to_contact
Apply a tag to a specific contact
create_contact
Requires at least a first name or email. Create a new contact in Keap
get_business_profile
Get Keap business profile information
get_contact
Get details for a specific contact
list_campaigns
List all marketing campaigns
list_contacts
Use this to search for leads or customers. List all contacts in Keap
list_invoices
List all invoices
list_opportunities
List sales opportunities
list_orders
List ecommerce orders
list_tags
List all available tags
list_users
List all application users
Example Prompts for Keap in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Keap immediately.
"Find a contact with email 'john@example.com' in Keap."
"Show me all my available tags in Keap."
"List my recent ecommerce orders."
Troubleshooting Keap MCP Server with OpenAI Agents SDK
Common issues when connecting Keap to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Keap + OpenAI Agents SDK FAQ
Common questions about integrating Keap 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 Keap 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 Keap to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.