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 Pydantic AI 8 tools — connect in under 2 minutes

Name: Albacross
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Albacross through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Albacross "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Albacross?"
    )
    print(result.data)

asyncio.run(main())

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.

Pydantic AI validates every Albacross tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Albacross MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Albacross with type-safe schemas

Why Use Pydantic AI with the Albacross MCP Server

Pydantic AI provides unique advantages when paired with Albacross through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Albacross integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Albacross connection logic from agent behavior for testable, maintainable code

Albacross + Pydantic AI Use Cases

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

Type-safe data pipelines: query Albacross with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Albacross tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Albacross and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Albacross responses and write comprehensive agent tests

Albacross MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Albacross to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Albacross + Pydantic AI FAQ

Common questions about integrating Albacross MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Albacross MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.