How to Use the AeroLeads MCP in CrewAI

Q: How do I filter which AeroLeads tools my CrewAI agents can use?

Use the toolfilter option in your configuration. This limits the agents to only the functions you want them to execute.

Deploy a specialized crew of autonomous agents to research, verify, and manage leads using AeroLeads.

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Connect AeroLeads MCP to CrewAI

Create your Vinkius account to connect AeroLeads 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 AeroLeads with CrewAI

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Perplexity

CrewAI agents for automated prospecting

Assign a research agent to use `search_domain_leads` while a moderator agent validates the output. They share memory to ensure the crew stays focused on your target list. You define the roles and the agents handle the execution. They work in sequence or parallel depending on your configuration.

LinkedIn enrichment for your CrewAI team

Let your specialized agents use `get_linkedin_details` to flesh out profiles for your sales team. It adds depth to your records without manual intervention. This data is immediately available to other agents in the crew. They use it to qualify leads before adding them to your CRM.

Scaling lead capture with CrewAI

Use `add_new_lead` to populate your list based on the criteria your agents find. The crew automates the entire loop from discovery to entry. It runs headless, meaning your operations continue 24/7. You just check the final report in your dashboard.

Setup guide

Set up AeroLeads 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 AeroLeads tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent AeroLeads 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="AeroLeads Analyst",
        goal="Access and analyze AeroLeads data via MCP.",
        backstory="Expert analyst with direct AeroLeads access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent AeroLeads 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 AeroLeads. 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 AeroLeads MCP in CrewAI

Pass the server URL directly into your agent's MCP list. Once connected, your agents can invoke the tools as if they were local functions.

Yes, the shared memory feature allows agents to pass information between them. One agent finds the lead, and another updates the details.

Use the tool_filter option in your configuration. This limits the agents to only the functions you want them to execute.

It is. Once you provide the search parameters, your crew handles the research, enrichment, and list management without further input.

The connection is strictly point-to-point. Your sensitive prospect lists are never stored on the server side, and all data transfers are handled through a secure transport tunnel.

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