Mashvisor MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Mashvisor as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Mashvisor. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Mashvisor?"
)
print(response)
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.
LlamaIndex agents combine Mashvisor tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Mashvisor MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Mashvisor
Why Use LlamaIndex with the Mashvisor MCP Server
LlamaIndex provides unique advantages when paired with Mashvisor through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Mashvisor tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Mashvisor tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Mashvisor, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Mashvisor tools were called, what data was returned, and how it influenced the final answer
Mashvisor + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Mashvisor MCP Server delivers measurable value.
Hybrid search: combine Mashvisor real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Mashvisor to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Mashvisor for fresh data
Analytical workflows: chain Mashvisor queries with LlamaIndex's data connectors to build multi-source analytical reports
Mashvisor MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Mashvisor to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Mashvisor to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMashvisor + LlamaIndex FAQ
Common questions about integrating Mashvisor MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.