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AgentFire MCP Server for CrewAIGive CrewAI instant access to 10 tools to Check Agentfire Status, Create Lead, Get Lead, and more

Built by Vinkius GDPR 10 Tools Framework

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

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The AgentFire app connector for CrewAI is a standout in the Real Estate category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="AgentFire Specialist",
    goal="Help users interact with AgentFire effectively",
    backstory=(
        "You are an expert at leveraging AgentFire 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 AgentFire "
        "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)
AgentFire
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 AgentFire MCP Server

Connect your AgentFire account to any AI agent and take full control of your real estate website and automated lead capture workflows through natural conversation.

When paired with CrewAI, AgentFire becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call AgentFire 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 Portfolio Orchestration — List and manage all captured property inquiries programmatically, retrieving detailed lead profile metadata and contact tags
  • Web Engagement Intelligence — Programmatically monitor property clicks and access engagement metadata to coordinate your sales follow-up strategy
  • Property Graph Monitoring — Access real-time updates for active listings and track user interaction duration directly through your agent for instant reporting
  • Metadata Management — Programmatically retrieve interest signals and search history to maintain a perfectly coordinated CRM record
  • Operational Monitoring — Verify account-level API connectivity and monitor lead capture volume directly through your agent for perfectly coordinated service scaling

The AgentFire 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.

All 10 AgentFire tools available for CrewAI

When CrewAI connects to AgentFire through Vinkius, your AI agent gets direct access to every tool listed below — spanning property-listings, real-estate-marketing, lead-capture, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_agentfire_status

Verify AgentFire API connectivity

create_lead

Email is required. Create a new lead

get_lead

Get lead details

get_listing

Get listing details

get_profile

Get your AgentFire profile

list_contacts

List all contacts

list_leads

List all leads

list_listings

List all property listings

search_listings

Search property listings

update_lead

Only provided fields are changed. Update a lead

Connect AgentFire to CrewAI via MCP

Follow these steps to wire AgentFire into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from AgentFire

Why Use CrewAI with the AgentFire MCP Server

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

01

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

02

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

03

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

04

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

AgentFire + CrewAI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for AgentFire in CrewAI

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

01

"List all new leads captured in AgentFire this week."

02

"Show the property interest for lead ID 'lead_123'."

03

"Check for any active listings with zero engagement this month."

Troubleshooting AgentFire MCP Server with CrewAI

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

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

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.

AgentFire + CrewAI FAQ

Common questions about integrating AgentFire MCP Server with CrewAI.

01

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.
02

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.
03

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.
04

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.
05

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.