How do I get a DealMachine API Key?

Log in to your DealMachine account, navigate to **Settings > API**, and you can generate or retrieve your API Key from that section.

Can the agent create new leads?

Yes, you can use the add_new_lead tool to add a property address directly to your DealMachine CRM via the agent.

Does the integration show property equity?

Yes, when retrieving property details, the agent can provide information on owner equity and other public records data available in your plan.

DealMachine MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: DealMachine
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="DealMachine Specialist",
    goal="Help users interact with DealMachine effectively",
    backstory=(
        "You are an expert at leveraging DealMachine 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 DealMachine "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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About DealMachine MCP Server

Integrate DealMachine, the leading CRM for real estate investors, directly into your AI workflow. Manage your real estate leads, research property ownership and equity data, and monitor direct mail marketing campaigns using natural language.

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

What you can do

Lead Management — List, search, and retrieve detailed profiles for your real estate leads.
Property Research — Access full data for tracked properties including owner names, equity, and mortgage information.
Campaign Oversight — Monitor active direct mail and marketing campaigns directly via chat.
Team Coordination — List driving teams and members associated with your account.

The DealMachine MCP Server exposes 10 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 DealMachine to CrewAI via MCP

Follow these steps to integrate the DealMachine 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 10 tools from DealMachine

Why Use CrewAI with the DealMachine MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with DealMachine 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 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

DealMachine + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries DealMachine 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 DealMachine, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain DealMachine 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 DealMachine against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

DealMachine MCP Tools for CrewAI (10)

These 10 tools become available when you connect DealMachine to CrewAI via MCP:

add_new_lead

Persists a new lead based on property address, initiating property data resolution and owner identification. Add a new real estate lead to your CRM

get_account_details

Returns account-level metadata including subscription plan, credit balance, and organizational settings. Retrieve metadata and plan limits for your DealMachine account

get_lead_details

Resolves associated property details, owner contact information, and the history of marketing actions taken. Get detailed information for a specific real estate lead

get_property_details

Resolves technical data such as estimated equity, mortgage information, deed history, and detailed owner metadata. Get full data for a specific property including owner and equity

list_driving_teams

Returns a list of teams, active drivers, and their respective roles within the DealMachine workspace. List all teams and members associated with your account

list_lead_tags

Returns tag names and identifiers used for filtering leads and properties. List all tags used to categorize leads and properties

list_marketing_campaigns

Returns campaign summaries including send dates, recipient counts, and engagement metrics. List all direct mail and marketing campaigns

list_real_estate_leads

Returns lead metadata including property addresses, owner names, and current lead status (e.g., potential, contacted). List all real estate leads in your DealMachine account

list_tracked_properties

Returns address data and internal property identifiers. List all properties tracked in the system

search_leads_by_address

Matches the search term against property addresses and owner names using partial case-insensitive matching. Search for leads by address or owner name

Example Prompts for DealMachine in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with DealMachine immediately.

"List my recent real estate leads."

"Show me the details for property '123 Maple St'."

"What marketing campaigns are currently running?"

Troubleshooting DealMachine MCP Server with CrewAI

Common issues when connecting DealMachine 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

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

DealMachine + CrewAI FAQ

Common questions about integrating DealMachine 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.