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

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Albacross through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "albacross": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Albacross, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Albacross
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<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.

LangChain's ecosystem of 500+ components combines seamlessly with Albacross through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 8 tools from Albacross via MCP

Why Use LangChain with the Albacross MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Albacross MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Albacross queries for multi-turn workflows

Albacross + LangChain Use Cases

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

01

RAG with live data: combine Albacross tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Albacross, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Albacross tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Albacross tool call, measure latency, and optimize your agent's performance

Albacross MCP Tools for LangChain (8)

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

01

get_account_info

Get account metadata

02

get_lead_details

Get lead metadata

03

get_usage_stats

Get API usage limits

04

identify_company_by_ip

Identify company by IP

05

list_industries

List industry sectors

06

list_leads

List identified companies

07

list_segments

List lead segments

08

list_workflows

List active workflows

Example Prompts for Albacross in LangChain

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

01

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

02

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

03

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

Troubleshooting Albacross MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Albacross + LangChain FAQ

Common questions about integrating Albacross MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Albacross to LangChain

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.