How do I find my Albacross API Key?

Log in to your Albacross dashboard, navigate to **Integrations** or **API**, and generate a new API key. This key is used for the Reveal API and other REST interactions.

Can I identify a company using only an IP address?

Yes! The `identify_company_by_ip` tool uses the Reveal API to provide detailed firmographics (name, size, industry) based on any valid IPv4 address.

Does this support lead lists from specific segments?

Yes, the `list_leads` tool allows you to filter identified companies by `segment_id`, helping you focus on leads that match your high-intent or target industry criteria.

Albacross MCP Server for CrewAI 8 tools — connect in under 2 minutes

Name: Albacross
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Albacross Specialist",
    goal="Help users interact with Albacross effectively",
    backstory=(
        "You are an expert at leveraging Albacross 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 Albacross "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

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

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 Albacross MCP Server

Connect your Albacross account to your AI agent to unlock professional B2B lead generation and intent data orchestration. From identifying anonymous companies visiting your website in real-time to auditing subscriber segments and monitoring automated workflows, your agent handles your account-based marketing strategy through natural conversation.

When paired with CrewAI, Albacross becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Albacross 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

Company Reveal — Identify detailed firmographic data for any anonymous website visitor using their IP address
Lead Management — List and audit leads (identified companies) across your specific segments and visit dates
Segmentation Oversight — List and retrieve details for your custom segments, including industry and revenue filters
Workflow Auditing — Monitor your automated data exports (Webhooks, CRM sync) and check their operational status
Intent Insights — Quickly identify high-intent visiting companies or identify traffic trends directly from your chat interface

The Albacross MCP Server exposes 8 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.

How to Connect Albacross to CrewAI via MCP

Follow these steps to integrate the Albacross MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

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

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from Albacross

Why Use CrewAI with the Albacross MCP Server

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

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

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

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

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

Albacross + CrewAI Use Cases

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

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

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

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

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

Albacross MCP Tools for CrewAI (8)

These 8 tools become available when you connect Albacross to CrewAI via MCP:

get_account_info

Get account metadata

get_lead_details

Get lead metadata

get_usage_stats

Get API usage limits

identify_company_by_ip

Identify company by IP

list_industries

List industry sectors

list_leads

List identified companies

list_segments

List lead segments

list_workflows

List active workflows

Example Prompts for Albacross in CrewAI

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

"Identify the company for IP address '8.8.8.8'."

"List the last 10 leads identified in my 'High Intent' segment."

"Check the status of my 'CRM Sync' workflow."

Troubleshooting Albacross MCP Server with CrewAI

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

MCP tools not discovered

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

Agent not using tools

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

Timeout errors

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

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.

Albacross + CrewAI FAQ

Common questions about integrating Albacross MCP Server with CrewAI.

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.

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.

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.

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.

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.