How to Use the InvestorLift MCP in CrewAI

Q: How do I filter tools for InvestorLift in CrewAI?

Use the toolfilter option in your agent definition. This lets you restrict specific agents from calling updatebuybox while allowing others to search with listdeals.

Deploy autonomous acquisition crews using CrewAI and the InvestorLift MCP Server for round-the-clock deal monitoring.

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Connect InvestorLift MCP to CrewAI

Create your Vinkius account to connect InvestorLift 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 InvestorLift with CrewAI

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Autonomous deal monitoring for CrewAI

Assign a researcher agent in your crew to call `list_deals` repeatedly. By keeping the agent focused on the marketplace, you ensure no potential deal goes unnoticed. Use `get_deal` to fetch specific data points for an analyst agent to review. This division of labor keeps your acquisition pipeline moving without manual intervention.

Strategic buy box adjustments

Give your management agent the authority to call `update_buy_box` when market conditions shift. The agent monitors the results and updates your criteria to capture better deals. Always have the agent verify current settings with `get_buy_box` before applying changes. This ensures the crew is always working with the most recent strategy.

Automated seller engagement

Let your outreach agent handle communication using `send_message`. When the analysis crew flags a strong opportunity, the outreach agent initiates contact immediately. This keeps your bidding competitive. The crew manages the entire lifecycle from discovery to initial outreach autonomously.

Setup guide

Set up InvestorLift 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 InvestorLift tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Yes, you can define a crew where different agents share access to the InvestorLift tools. This allows for specialized roles like researchers and negotiators.

Use the tool_filter option in your agent definition. This lets you restrict specific agents from calling `update_buy_box` while allowing others to search with `list_deals`.

The server is built to handle the constant, repetitive queries typical of autonomous crews. It works natively with the framework's task execution flow.

You can set your agents to poll the marketplace on a schedule. They will fetch new deals using `list_deals` as soon as they are posted.

Your account credentials and private deal information are shielded by the Vinkius sandbox. No data is stored, and all communication between your agents and the API is encrypted.

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