Assembled MCP Server for LangChain 7 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Assembled 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({
"assembled": {
"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 Assembled, 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 Assembled MCP Server
The Assembled MCP Server provides your AI agent with direct access to your workforce management (WFM) data. Optimize your support operations by monitoring agent availability, auditing schedules, and analyzing contact volume forecasts using natural language.
LangChain's ecosystem of 500+ components combines seamlessly with Assembled through native MCP adapters. Connect 7 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.
Key Capabilities
- Agent & State Tracking — List all users and monitor real-time agent states to see who is online, on break, or in a meeting.
- Team & Queue Management — Audit your support organization structure by listing teams and individual support queues.
- Schedule Oversight — Retrieve detailed agent schedules for any time range to ensure proper coverage.
- Forecasting Insights — Access contact volume forecasts to prepare for upcoming support demand.
- Operational Auditing — Quickly verify account connections and organizational metadata without manual reports.
- Secure API Access — Uses your Assembled API Key for safe and authenticated communication with your WFM data.
The Assembled MCP Server exposes 7 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 Assembled to LangChain via MCP
Follow these steps to integrate the Assembled 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 7 tools from Assembled via MCP
Why Use LangChain with the Assembled MCP Server
LangChain provides unique advantages when paired with Assembled through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Assembled 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 Assembled queries for multi-turn workflows
Assembled + LangChain Use Cases
Practical scenarios where LangChain combined with the Assembled MCP Server delivers measurable value.
RAG with live data: combine Assembled tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Assembled, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Assembled tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Assembled tool call, measure latency, and optimize your agent's performance
Assembled MCP Tools for LangChain (7)
These 7 tools become available when you connect Assembled to LangChain via MCP:
get_account_check
Verify Assembled account connection
list_agent_states
List real-time agent states
list_forecasts
List contact volume forecasts
list_queues
List all support queues
list_schedules
List agent schedules for a time range
list_teams
List all teams
list_users
List all users in Assembled
Example Prompts for Assembled in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Assembled immediately.
"List all agents currently online in Assembled."
"Show me the schedule for 'Support Team Alpha' for today."
"What is the contact volume forecast for next Monday?"
Troubleshooting Assembled MCP Server with LangChain
Common issues when connecting Assembled to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAssembled + LangChain FAQ
Common questions about integrating Assembled 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 Assembled 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 Assembled to LangChain
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.