Repliers MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Repliers 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="Repliers Assistant",
instructions=(
"You help users interact with Repliers. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Repliers"
)
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 Repliers MCP Server
Empower your AI agent to orchestrate your entire real estate research and property auditing workflow with Repliers, the leading platform for real-time listing data. By connecting Repliers to your agent, you transform complex MLS searches into a natural conversation. Your agent can instantly search for active listings, audit property details, and retrieve neighborhood statistics without you ever touching a property portal. Whether you are conducting market analysis or scouting your next home, your agent acts as a real-time real estate consultant, ensuring your data is always comprehensive and up-to-date.
The OpenAI Agents SDK auto-discovers all 6 tools from Repliers through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Repliers, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Listing Auditing — Search for thousands of active real estate listings and retrieve detailed metadata, including prices, bedroom counts, and status.
- Neighborhood Oversight — Browse listings in specific neighborhoods to understand local market scale and distribution instantly.
- Property Discovery — Retrieve full details for specific MLS numbers to assist in deep-dive property audits.
- Market Intelligence — Query real-time listing statistics to understand pricing trends and inventory levels across different cities.
- Operational Monitoring — Check API status to ensure your real estate research workflow is always operational.
The Repliers MCP Server exposes 6 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 Repliers to OpenAI Agents SDK via MCP
Follow these steps to integrate the Repliers 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 6 tools from Repliers
Why Use OpenAI Agents SDK with the Repliers MCP Server
OpenAI Agents SDK provides unique advantages when paired with Repliers 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
Repliers + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Repliers MCP Server delivers measurable value.
Automated workflows: build agents that query Repliers, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Repliers, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Repliers tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Repliers to resolve tickets, look up records, and update statuses without human intervention
Repliers MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect Repliers to OpenAI Agents SDK via MCP:
check_api_status
Check if the Repliers API is operational
get_listing_details
Get full details for a specific property by MLS number
get_listing_statistics
Get market statistics for listings
search_by_city
Search for properties in a specific city
search_by_neighborhood
Search for properties in a specific neighborhood
search_listings
Search for real estate listings with optional filters
Example Prompts for Repliers in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Repliers immediately.
"Search for houses in 'Toronto' under $1,000,000 using Repliers."
"Show listings in the 'Liberty Village' neighborhood."
"Get real estate statistics for 'Vancouver'."
Troubleshooting Repliers MCP Server with OpenAI Agents SDK
Common issues when connecting Repliers to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Repliers + OpenAI Agents SDK FAQ
Common questions about integrating Repliers 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 Repliers 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 Repliers to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.