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 LlamaIndex 8 tools — connect in under 2 minutes

Name: Albacross
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Albacross as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Albacross. "
            "You have 8 tools available."
        ),
    )

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

asyncio.run(main())

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* 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.

LlamaIndex agents combine Albacross tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the Albacross MCP Server

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

Data-first architecture: LlamaIndex agents combine Albacross tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Albacross tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Albacross, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Albacross tools were called, what data was returned, and how it influenced the final answer

Albacross + LlamaIndex Use Cases

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

Hybrid search: combine Albacross real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Albacross to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Albacross for fresh data

Analytical workflows: chain Albacross queries with LlamaIndex's data connectors to build multi-source analytical reports

Albacross MCP Tools for LlamaIndex (8)

These 8 tools become available when you connect Albacross to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Albacross + LlamaIndex FAQ

Common questions about integrating Albacross MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Albacross tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.