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Vinkius

Middesk MCP Server for LangChain 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools Framework

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

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

Connect your Middesk account to automate Business Identity (KYB) and compliance workflows. This server provides comprehensive access to Middesk's verification engine.

LangChain's ecosystem of 500+ components combines seamlessly with Middesk through native MCP adapters. Connect 9 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

  • Entity Verification — Create and monitor business verification requests with real-time status
  • Document Retrieval — Access official Secretary of State filings and corporate documents
  • Smart Prefill — Automatically populate business details from a single identifier like EIN or website
  • Tax Registration — Manage and track state tax registrations and payroll compliance
  • Identity Autocomplete — Search for businesses with live SOS record suggestions

The Middesk MCP Server exposes 9 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 Middesk to LangChain via MCP

Follow these steps to integrate the Middesk 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 9 tools from Middesk via MCP

Why Use LangChain with the Middesk MCP Server

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

01

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

Middesk + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Middesk MCP Tools for LangChain (9)

These 9 tools become available when you connect Middesk to LangChain via MCP:

01

autocomplete_identity

Autocomplete business identity

02

create_business

Requires legal name. Create a new business verification

03

get_business

Get a specific business

04

get_document

Get a specific document

05

get_tax_registration

Get a specific tax registration

06

list_businesses

List all businesses

07

list_documents

List documents for a business

08

list_tax_registrations

List tax registrations

09

prefill_business

g., website). Prefill business details

Example Prompts for Middesk in LangChain

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

01

"Verify the business 'Acme Corp' located in Delaware."

02

"Find SOS filings for business ID 'bus_123'."

Troubleshooting Middesk MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Middesk + LangChain FAQ

Common questions about integrating Middesk 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 Middesk to LangChain

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.