How to Use the Albacross MCP in CrewAI

Q: How is company IP data secured in this MCP Server?

Every IP lookup processed by identifycompanybyip is fully isolated within a secure V8 execution environment. The host does not log or store the network payloads, ensuring your anonymous visitor logs remain confidential.

Deploy autonomous CrewAI agent teams to monitor website traffic and qualify B2B leads using Albacross.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Albacross MCP to CrewAI

Create your Vinkius account to connect Albacross 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.

GDPR Free for Subscribers

Setup Albacross with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Deploy Multi-Agent B2B Research Crews

This MCP Server lets your specialized agent crews use `identify_company_by_ip` to find anonymous visitors and route them to researchers. You can have a Screener Agent find the anonymous visitors, then hand those details to an Analyst Agent to check industry fit. This division of labor is perfect for processing high volumes of traffic. The crew uses shared memory to keep track of which companies have already been processed during a run.

Autonomous Lead Qualification with this MCP Server

The `list_segments` tool allows your qualifying agent to evaluate incoming traffic against your ideal customer profiles. The agent evaluates the lead's firmographic data using `get_lead_details` to determine if they meet your sales criteria. If a company fits, the agent can automatically trigger a marketing workflow. The crew handles the decision-making process based on the rules you define in their system prompts.

Self-Monitoring API Usage and Workflow Audits

Your managing agent uses `get_usage_stats` to monitor your credit consumption and keep autonomous runs within budget. If limits are close, the manager instructs the crew to prioritize high-value domains. The manager can also audit active campaigns using `list_workflows` to ensure incoming leads are being funneled into the correct tracks. It provides a layer of operational safety for fully autonomous setups.

Setup guide

Set up Albacross 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 Albacross tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Albacross 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 Albacross. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Albacross now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Albacross MCP in CrewAI

You can pass your Vinkius HTTP URL directly into the agent's MCP configuration. CrewAI will automatically fetch and expose tools like `identify_company_by_ip` to that specific agent.

Yes, use the HTTP server class from CrewAI and apply an MCP tool filter. This lets you restrict a junior agent to only `list_industries` while keeping administrative tools locked.

Agents use CrewAI's shared memory to pass company profiles retrieved from `get_lead_details` between tasks. The researcher agent writes the details to the context, and the copywriter agent reads them to draft personalized outreach.

Yes, CrewAI supports stdio, SSE, and Streamable HTTP transports. You can test your agents locally using stdio before deploying them to a cloud environment.

Every IP lookup processed by `identify_company_by_ip` is fully isolated within a secure V8 execution environment. The host does not log or store the network payloads, ensuring your anonymous visitor logs remain confidential.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript