kvCORE 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 kvCORE 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="kvCORE Assistant",
instructions=(
"You help users interact with kvCORE. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from kvCORE"
)
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 kvCORE MCP Server
Connect your AI agent to kvCORE, the primary platform for real estate professionals to manage their entire business.
The OpenAI Agents SDK auto-discovers all 10 tools from kvCORE through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries kvCORE, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Features
- Lead Management — Search and audit lead profiles, update statuses, and add manual notes through natural language
- Listing Intelligence — Access active property listings and detailed metadata including features and pricing
- Marketing Visibility — List and monitor smart campaigns and automated marketing sequences
- Agent Workflow — Audit pending tasks, reminders, and recent lead activities to stay on top of follow-ups
- Profile Insights — Fetch agent profile data and high-level account configuration
Simple Setup
1. Subscribe to this server
2. Log in to kvCORE, go to Settings > API, and generate an API Key
3. Enter your key in the configuration panel
4. Start managing your real estate business via chat
The kvCORE 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 kvCORE to OpenAI Agents SDK via MCP
Follow these steps to integrate the kvCORE 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 kvCORE
Why Use OpenAI Agents SDK with the kvCORE MCP Server
OpenAI Agents SDK provides unique advantages when paired with kvCORE 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
kvCORE + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the kvCORE MCP Server delivers measurable value.
Automated workflows: build agents that query kvCORE, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries kvCORE, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through kvCORE tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query kvCORE to resolve tickets, look up records, and update statuses without human intervention
kvCORE MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect kvCORE to OpenAI Agents SDK via MCP:
create_lead_note
Add a note to a lead profile
get_agent_profile
Get current agent information
get_lead_details
Get details for a specific lead
get_listing_details
Get metadata for a specific listing
list_agent_tasks
List pending tasks for the agent
list_lead_activity
List recent activity for a lead
list_marketing_campaigns
List all marketing campaigns
list_property_listings
List active property listings
search_kvcore_leads
Returns lead IDs and basic contact info. Search for leads in kvCORE
update_lead_info
g., status, phone). Provide data as a JSON string. Update an existing lead
Example Prompts for kvCORE in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with kvCORE immediately.
"Search for a lead named 'Alice' in my kvCORE"
"Show me details for the property at '123 Maple St'"
"List my tasks for today"
Troubleshooting kvCORE MCP Server with OpenAI Agents SDK
Common issues when connecting kvCORE to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
kvCORE + OpenAI Agents SDK FAQ
Common questions about integrating kvCORE 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 kvCORE 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 kvCORE to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.