Hub Planner MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Hub Planner through the 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({
"hub-planner": {
"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 Hub Planner, 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 Hub Planner MCP Server
Connect your AI agents to Hub Planner to optimize your resource management. This MCP server allows you to list resources, track project progress, manage bookings, and view client information directly through the Hub Planner API. Ideal for project managers and operations teams.
LangChain's ecosystem of 500+ components combines seamlessly with Hub Planner through native MCP adapters. Connect 10 tools via the 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.
The Hub Planner 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.
How to Connect Hub Planner to LangChain via MCP
Follow these steps to integrate the Hub Planner 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 10 tools from Hub Planner via MCP
Why Use LangChain with the Hub Planner MCP Server
LangChain provides unique advantages when paired with Hub Planner through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Hub Planner 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 Hub Planner queries for multi-turn workflows
Hub Planner + LangChain Use Cases
Practical scenarios where LangChain combined with the Hub Planner MCP Server delivers measurable value.
RAG with live data: combine Hub Planner tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Hub Planner, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Hub Planner tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Hub Planner tool call, measure latency, and optimize your agent's performance
Hub Planner MCP Tools for LangChain (10)
These 10 tools become available when you connect Hub Planner to LangChain via MCP:
get_me
Gets current authenticated user info
list_bookings
Lists resource bookings
list_categories
Lists booking categories
list_clients
Lists all clients
list_events
Lists events/time-off
list_projects
Lists all projects
list_resources
Lists resources (people, equipment)
list_tags
Lists tags used in projects and resources
list_teams
Lists all teams
list_unassigned
Lists unassigned bookings
Example Prompts for Hub Planner in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Hub Planner immediately.
"List all resources in Hub Planner."
"Show me active projects."
"Check bookings for the next 7 days."
Troubleshooting Hub Planner MCP Server with LangChain
Common issues when connecting Hub Planner to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHub Planner + LangChain FAQ
Common questions about integrating Hub Planner 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 Hub Planner 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 Hub Planner to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.