How to Use the Cobot MCP in LangChain
Get your LangChain agents to manage coworking bookings and memberships directly through the Cobot MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Cobot MCP to LangChain
Create your Vinkius account to connect Cobot to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Run multi-step Cobot booking chains in LangChain
This MCP Server lets your LangChain agents query open spots with `list_space_resources` and instantly book them using `create_new_booking` in a single run. You can chain these tools so that if a meeting room is taken, the agent automatically looks up alternative spaces and books them. Everything is recorded in your LangSmith traces so you can debug the exact logic your agent used.
Track membership billing status automatically
Your LangChain agent tracks account status by running through `list_cobot_memberships` to identify active users, then calls `list_cobot_invoices` to flag who owes money. Feeding these outputs directly into your notification chains means you can message overdue members right away. It turns a tedious manual audit into a hands-off background process.
Verify plan details before resource allocation
This MCP Server verifies plan details before resource allocation by pulling active tiers using `list_membership_plans` and matching them against `get_membership_details`. Because LangChain handles state transitions cleanly, you can build guardrails that prevent `create_new_booking` from running if a member's plan doesn't allow it. It keeps your space rules enforced without human intervention.
Set up Cobot MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"transport": "http"pointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create a ReAct agent
Pass the discovered tools to
create_react_agent()from LangGraph. The agent automatically routes Cobot tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
async with MultiServerMCPClient({
"cobot-mcp": {
"transport": "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,
)
result = await agent.ainvoke({
"messages": "List recent Cobot transactions"
})
print(result["messages"][-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cobot. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Cobot MCP in LangChain
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Cobot MCP today
We host it, we monitor it, we maintain it. You just paste one token.