Openscreen MCP Server for LangChain 9 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Openscreen 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
Vinkius supports streamable HTTP and SSE.
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({
"openscreen": {
"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 Openscreen, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Openscreen MCP Server
Connect your Openscreen account to empower your AI agents with smart QR code capabilities. This server provides programmatic access to the Openscreen API for generating, managing, and tracking dynamic QR codes.
LangChain's ecosystem of 500+ components combines seamlessly with Openscreen 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
- Dynamic QR Generation — Create trackable QR codes for physical or digital assets
- Project Organization — Manage your QR codes across multiple projects and containers
- Asset Management — Link QR codes to specific assets like URLs, SKUs, or documents
- Real-time Analytics — Monitor scan data including location, device info, and scan times
- Behavioral Control — Update the intent of existing dynamic QR codes without changing the physical code
The Openscreen 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 Openscreen to LangChain via MCP
Follow these steps to integrate the Openscreen MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 9 tools from Openscreen via MCP
Why Use LangChain with the Openscreen MCP Server
LangChain provides unique advantages when paired with Openscreen through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Openscreen MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Openscreen queries for multi-turn workflows
Openscreen + LangChain Use Cases
Practical scenarios where LangChain combined with the Openscreen MCP Server delivers measurable value.
RAG with live data: combine Openscreen tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Openscreen, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Openscreen tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Openscreen tool call, measure latency, and optimize your agent's performance
Openscreen MCP Tools for LangChain (9)
These 9 tools become available when you connect Openscreen to LangChain via MCP:
create_asset_with_qr
Create an asset and its QR code
get_asset
Get asset details
get_project
Get project details
get_qr_code
Get QR code details
list_assets
List assets in a project
list_projects
List all Openscreen projects
list_qr_codes
List QR codes in a project
list_scans
List scans for a QR code
update_qr_code_intent
Update QR code intent
Example Prompts for Openscreen in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Openscreen immediately.
"List my Openscreen projects."
Troubleshooting Openscreen MCP Server with LangChain
Common issues when connecting Openscreen to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOpenscreen + LangChain FAQ
Common questions about integrating Openscreen MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Openscreen with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Openscreen to LangChain
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.