Wing Assistant MCP Server for LangChainGive LangChain instant access to 6 tools to Create Task, Get Assistant, Get Task Status, and more
LangChain is the leading Python framework for composable LLM applications. Connect Wing Assistant 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 App Connector for LangChain
The Wing Assistant app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"wing-assistant": {
"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 Wing Assistant, 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 Wing Assistant MCP Server
Connect your Wing Assistant account to any AI agent to automate your delegation workflows and manage your virtual team. Wing provides a managed service that combines AI efficiency with human expertise, and this integration allows you to interact with your assistants through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Wing Assistant through native MCP adapters. Connect 6 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
- Assistant Orchestration — List all your active virtual assistants and retrieve detailed metadata about their roles and skills.
- Task Delegation — Delegate new units of work by creating tasks directly in your assistant's queue with clear instructions and priorities.
- Real-time Lifecycle Control — Update task details, instructions, and statuses programmatically to ensure project alignment.
- Operational Monitoring — Track task progress and history across your entire workspace to stay updated on your virtual team's output.
- Resource Navigation — Monitor your assistant's current workload and capacity to optimize your delegation strategy.
The Wing Assistant MCP Server exposes 6 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.
All 6 Wing Assistant tools available for LangChain
When LangChain connects to Wing Assistant through Vinkius, your AI agent gets direct access to every tool listed below — spanning virtual-assistant, task-delegation, outsourcing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Provide title and description. Create a new task for an assistant
Get details of a specific assistant
Get current status of a unit of work
List all active virtual assistants
List all tasks assigned to assistants
Update an existing task
Connect Wing Assistant to LangChain via MCP
Follow these steps to wire Wing Assistant into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Wing Assistant MCP Server
LangChain provides unique advantages when paired with Wing Assistant through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Wing Assistant 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 Wing Assistant queries for multi-turn workflows
Wing Assistant + LangChain Use Cases
Practical scenarios where LangChain combined with the Wing Assistant MCP Server delivers measurable value.
RAG with live data: combine Wing Assistant tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Wing Assistant, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Wing Assistant tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Wing Assistant tool call, measure latency, and optimize your agent's performance
Example Prompts for Wing Assistant in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Wing Assistant immediately.
"Create a new task for my virtual team to 'Compile a list of 50 local real estate agencies in Miami' and include detailed instructions to find their contact emails."
"Check the status of task ID 'TSK-8492' and if it's still pending, update the priority instructions to 'Urgent - Need by EOD today'."
"Show me the current workload and active tasks assigned to my assistant 'Maria'."
Troubleshooting Wing Assistant MCP Server with LangChain
Common issues when connecting Wing Assistant to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersWing Assistant + LangChain FAQ
Common questions about integrating Wing Assistant 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.