4,000+ servers built on vurb.ts
Vinkius

HiFlow MCP Server for LangChainGive LangChain instant access to 12 tools to Create Customer, Get Activity, Get Customer, and more

MCP Inspector GDPR Free for Subscribers

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

Ask AI about this MCP Server for LangChain

The HiFlow MCP Server for LangChain is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
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({
        "hiflow": {
            "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 HiFlow, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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

The HiFlow MCP server bridges your AI agent with your enterprise workflows. Trigger processes, approve pending steps, and query real-time process states through a seamless conversational interface.

LangChain's ecosystem of 500+ components combines seamlessly with HiFlow through native MCP adapters. Connect 12 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 HiFlow MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 HiFlow tools available for LangChain

When LangChain connects to HiFlow through Vinkius, your AI agent gets direct access to every tool listed below — spanning workflow-automation, bpm, process-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create customer on HiFlow

Create a new customer

get

Get activity on HiFlow

Retrieve activity dashboard information

get

Get customer on HiFlow

Retrieve details for a specific customer

get

Get estimate on HiFlow

Retrieve details for a specific estimate

get

Get invoice on HiFlow

Retrieve details for a specific invoice

get

Get job on HiFlow

Retrieve details for a specific job

get

Get me on HiFlow

Retrieve information about the current user

list

List customers on HiFlow

List all customers

list

List estimates on HiFlow

List all estimates (quotes)

list

List invoices on HiFlow

List all invoices

list

List jobs on HiFlow

List all jobs/projects

list

List timesheets on HiFlow

List all timesheet entries

Connect HiFlow to LangChain via MCP

Follow these steps to wire HiFlow into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 12 tools from HiFlow via MCP

Why Use LangChain with the HiFlow MCP Server

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

01

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

HiFlow + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for HiFlow in LangChain

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

01

"List my pending approvals."

02

"Start the 'Employee Onboarding' process for John Doe."

03

"Approve task ID 9481."

Troubleshooting HiFlow MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

HiFlow + LangChain FAQ

Common questions about integrating HiFlow 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.

Explore More MCP Servers

View all →