Assembly MCP Server for LangChainGive LangChain instant access to 10 tools to Get Client, Get Company, Get Note, and more
LangChain is the leading Python framework for composable LLM applications. Connect Assembly 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 Assembly app connector for LangChain is a standout in the Productivity category — giving your AI agent 10 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({
"assembly": {
"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 Assembly, 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 Assembly MCP Server
Assembly
The Assembly MCP Server allows AI agents to interact with your Assembly platform data seamlessly.
LangChain's ecosystem of 500+ components combines seamlessly with Assembly through native MCP adapters. Connect 10 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
- Retrieve clients, companies, and users.
- Access workspaces and CRM details.
- Manage notes and internal data.
The Assembly MCP Server exposes 10 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 10 Assembly tools available for LangChain
When LangChain connects to Assembly through Vinkius, your AI agent gets direct access to every tool listed below — spanning client-management, workspace-management, crm, 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.
Get details for a specific client
Get details for a specific company
Get a specific note
Get details for a specific user
Get a specific workspace
List all Assembly clients
List all Assembly companies
List Assembly notes
List all Assembly users
List all Assembly workspaces
Connect Assembly to LangChain via MCP
Follow these steps to wire Assembly 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 Assembly MCP Server
LangChain provides unique advantages when paired with Assembly through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Assembly 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 Assembly queries for multi-turn workflows
Assembly + LangChain Use Cases
Practical scenarios where LangChain combined with the Assembly MCP Server delivers measurable value.
RAG with live data: combine Assembly tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Assembly, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Assembly tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Assembly tool call, measure latency, and optimize your agent's performance
Example Prompts for Assembly in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Assembly immediately.
"List all clients in Assembly."
"Get companies in my account."
"Show all workspaces and the latest notes created this month."
Troubleshooting Assembly MCP Server with LangChain
Common issues when connecting Assembly to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAssembly + LangChain FAQ
Common questions about integrating Assembly 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.