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Hudu MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Hudu 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({
        "hudu": {
            "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 Hudu, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Hudu
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 Hudu MCP Server

Empower your AI agents to interact with your Hudu IT documentation. This MCP server allows you to list companies, retrieve asset details, manage contacts, view knowledge base articles, and access stored passwords directly through the Hudu API. Ideal for automating MSP workflows and IT management.

LangChain's ecosystem of 500+ components combines seamlessly with Hudu through native MCP adapters. Connect 10 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.

The Hudu MCP Server exposes 10 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 Hudu to LangChain via MCP

Follow these steps to integrate the Hudu 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 10 tools from Hudu via MCP

Why Use LangChain with the Hudu MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Hudu 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 Hudu queries for multi-turn workflows

Hudu + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Hudu MCP Tools for LangChain (10)

These 10 tools become available when you connect Hudu to LangChain via MCP:

01

get_company

Retrieves details for a specific company

02

list_activity_logs

Lists activity logs

03

list_articles

Lists knowledge base articles

04

list_assets

Lists documented assets

05

list_companies

Lists all companies in Hudu

06

list_contacts

Lists contacts across all companies

07

list_networks

Lists documented networks

08

list_passwords

Lists stored passwords

09

list_procedures

Lists documented procedures

10

list_websites

Lists monitored websites

Example Prompts for Hudu in LangChain

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

01

"List all companies documented in Hudu."

02

"Show me assets for company ID 123."

03

"Find knowledge base articles related to backup procedures."

Troubleshooting Hudu MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Hudu + LangChain FAQ

Common questions about integrating Hudu 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 Hudu to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.