Hostfully MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Hostfully 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({
"hostfully": {
"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 Hostfully, 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 Hostfully MCP Server
Connect your AI agents to Hostfully's Property Management System. This MCP server allows you to list and manage properties, track leads, view guest information, and monitor service providers directly through the Hostfully API. Ideal for automating hospitality operations.
LangChain's ecosystem of 500+ components combines seamlessly with Hostfully 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 Hostfully 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 Hostfully to LangChain via MCP
Follow these steps to integrate the Hostfully 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 Hostfully via MCP
Why Use LangChain with the Hostfully MCP Server
LangChain provides unique advantages when paired with Hostfully through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Hostfully 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 Hostfully queries for multi-turn workflows
Hostfully + LangChain Use Cases
Practical scenarios where LangChain combined with the Hostfully MCP Server delivers measurable value.
RAG with live data: combine Hostfully tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Hostfully, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Hostfully tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Hostfully tool call, measure latency, and optimize your agent's performance
Hostfully MCP Tools for LangChain (10)
These 10 tools become available when you connect Hostfully to LangChain via MCP:
get_agency
Retrieves details for a specific agency
get_lead
Retrieves details for a specific lead
get_property
Retrieves details for a specific property
list_agencies
Lists all agencies the API key is authorized to access
list_guests
Lists guests associated with an agency
list_leads
Lists leads and bookings for an agency
list_owners
Lists property owners associated with an agency
list_properties
Requires an agencyUid. Lists all properties belonging to an agency
list_service_providers
Lists service providers (cleaners, maintenance) for an agency
list_webhooks
Lists webhooks configured for an agency
Example Prompts for Hostfully in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Hostfully immediately.
"List all vacation rental properties in Hostfully."
"Check for new leads in agency UID 'abc-123'."
"List all service providers for my agency."
Troubleshooting Hostfully MCP Server with LangChain
Common issues when connecting Hostfully to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHostfully + LangChain FAQ
Common questions about integrating Hostfully 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 Hostfully 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 Hostfully to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.