Mashvisor MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Mashvisor 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({
"mashvisor": {
"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 Mashvisor, 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 Mashvisor MCP Server
Connect Mashvisor real estate analytics to any AI agent and analyze investment properties with detailed Airbnb vs traditional rental comparisons, neighborhood analytics, and market insights through natural language.
LangChain's ecosystem of 500+ components combines seamlessly with Mashvisor 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.
What you can do
- Property Search — Find investment properties by city, state, price range, and bedrooms
- Investment Metrics — Get cap rates, cash-on-cash returns, and revenue projections for both STR and LTR strategies
- Airbnb Analysis — View occupancy rates, average daily rates, monthly revenue, and seasonality data
- Rental Estimates — Get long-term rental rate estimates for 1-5 bedroom properties
- Neighborhood Insights — Compare neighborhoods by ROI, demand indicators, and market benchmarks
- Market Listings — Browse active, distressed, and off-market properties in any city
- Historical Data — Analyze up to 36 months of Airbnb performance trends
The Mashvisor 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 Mashvisor to LangChain via MCP
Follow these steps to integrate the Mashvisor 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 Mashvisor via MCP
Why Use LangChain with the Mashvisor MCP Server
LangChain provides unique advantages when paired with Mashvisor through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Mashvisor 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 Mashvisor queries for multi-turn workflows
Mashvisor + LangChain Use Cases
Practical scenarios where LangChain combined with the Mashvisor MCP Server delivers measurable value.
RAG with live data: combine Mashvisor tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Mashvisor, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Mashvisor tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Mashvisor tool call, measure latency, and optimize your agent's performance
Mashvisor MCP Tools for LangChain (10)
These 10 tools become available when you connect Mashvisor to LangChain via MCP:
get_airbnb_listings
Get Airbnb rental listings and metrics
get_airbnb_property
Get detailed Airbnb listing information
get_city_listings
Filter by status, days on market, price history, and property attributes. Get city market listings
get_historical_performance
Useful for analyzing seasonality and long-term performance patterns. Get historical Airbnb performance data
get_investment_analysis
Get property investment analysis
get_property
Get detailed property information
get_rental_rates
Includes rent distribution statistics and helps evaluate traditional rental investment potential. Get traditional rental rate estimates
list_neighborhoods
List neighborhoods with investment data
list_properties
Filter by city, state, bedrooms, and property type. Returns properties with Airbnb and long-term rental metrics. List investment properties
search_properties
Returns properties with investment metrics. Search properties with advanced filters
Example Prompts for Mashvisor in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Mashvisor immediately.
"Show me investment properties in Las Vegas with good Airbnb ROI."
"What's the best neighborhood for Airbnb in Chicago?"
"What are typical rental rates for a 3BR in Austin, TX?"
Troubleshooting Mashvisor MCP Server with LangChain
Common issues when connecting Mashvisor to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersMashvisor + LangChain FAQ
Common questions about integrating Mashvisor 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 Mashvisor 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 Mashvisor to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.