How do I find my Repliers API Key?

Log in to your [**Repliers dashboard**](https://dashboard.repliers.io/), and you will find your API Key on the main page or under 'API Keys'. Copy and paste it below.

Can the agent search by price range?

Yes. Use the `search_listings` tool and provide `minPrice` and `maxPrice` parameters. Your agent will return matching properties instantly.

Are bedroom and bathroom counts included?

Yes. Every listing record retrieved by your agent includes the number of bedrooms and bathrooms where available in the MLS data.

Repliers MCP Server for CrewAI 6 tools — connect in under 2 minutes

Name: Repliers
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 6 Tools Framework

Connect your CrewAI agents to Repliers through the Vinkius — pass the Edge URL in the `mcps` parameter and every Repliers tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Repliers Specialist",
    goal="Help users interact with Repliers effectively",
    backstory=(
        "You are an expert at leveraging Repliers tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Repliers "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, Repliers becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Repliers tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Repliers MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 6 tools from Repliers

Why Use CrewAI with the Repliers MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Repliers through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Repliers + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Repliers MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Repliers for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Repliers, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Repliers tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Repliers against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Repliers MCP Tools for CrewAI (6)

These 6 tools become available when you connect Repliers to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Repliers to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Repliers + CrewAI FAQ

Common questions about integrating Repliers MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.