How to Use the AgentFire MCP in CrewAI

Q: How do I configure the AgentFire MCP Server for CrewAI?

Pass the server URL directly to the mcps parameter when defining your agent. The framework handles the connection via stdio, SSE, or Streamable HTTP.

Q: Can multiple agents in CrewAI use AgentFire simultaneously?

Yes. Your researcher can run searchlistings while your admin agent executes updatelead. They share the context automatically.

Q: How do I restrict an agent from using the MCP Server to create leads in CrewAI?

Import MCPServerHTTP and apply a toolfilter. You can expose read-only tools like getlisting while blocking createlead.

Q: Can CrewAI monitor AgentFire for new properties?

You can set up a recurring task where a scout agent runs listlistings. It compares the output to its previous memory state to identify new inventory.

Deploy autonomous agent crews to research properties and manage real estate leads with CrewAI.

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Create your Vinkius account to connect AgentFire to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AgentFire with CrewAI

Ask AI about this MCP

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Claude

Perplexity

Delegate Lead Management

The `list_leads` tool gives your researcher agent a complete view of your current pipeline. It scans the database to identify stale prospects. The agent then hands that data off to an outreach agent to draft follow-up emails. When a prospect replies, a data-entry agent uses `update_lead` to modify their CRM record. The crew operates sequentially. You set the roles, and they handle the database mutations.

CrewAI Property Analysis

The `search_listings` tool finds properties matching specific investment criteria. It pulls the raw market data into shared memory. A secondary agent then evaluates those homes against historical trends. To get specifics on a target property, the agent executes `get_listing`. The crew pulls the exact square footage and tax history without you having to click through a dashboard.

Connect the MCP Server

The `check_agentfire_status` tool is the first task your monitor agent performs before starting a complex sequence. You pass the Vinkius URL directly into the `mcps` array of your CrewAI agent definition. The framework handles the transport layer automatically. If you want strict boundaries, use `MCPServerHTTP` with a `tool_filter`. You restrict a junior agent's MCP Server access so it only reads data and cannot execute write operations.

Setup guide

Set up AgentFire MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke AgentFire tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="AgentFire Analyst",
    goal="Access and analyze AgentFire data via MCP.",
    backstory="Expert analyst with direct AgentFire access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent AgentFire transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="AgentFire Analyst",
        goal="Access and analyze AgentFire data via MCP.",
        backstory="Expert analyst with direct AgentFire access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent AgentFire transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AgentFire. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AgentFire MCP in CrewAI

Pass the server URL directly to the `mcps` parameter when defining your agent. The framework handles the connection via stdio, SSE, or Streamable HTTP.

Yes. Your researcher can run `search_listings` while your admin agent executes `update_lead`. They share the context automatically.

Import `MCPServerHTTP` and apply a `tool_filter`. You can expose read-only tools like `get_listing` while blocking `create_lead`.

You can set up a recurring task where a scout agent runs `list_listings`. It compares the output to its previous memory state to identify new inventory.

Nobody. Vinkius provisions a zero-trust, ephemeral environment for your MCP Server connections. When your agents pull client emails or phone numbers, the data exists only for the duration of the task execution.

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