Hostfully 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 Hostfully as an MCP tool provider through the 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 Hostfully. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Hostfully?"
)
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 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.
LlamaIndex agents combine Hostfully tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
The Hostfully 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 Hostfully to LlamaIndex via MCP
Follow these steps to integrate the Hostfully 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 Hostfully
Why Use LlamaIndex with the Hostfully MCP Server
LlamaIndex provides unique advantages when paired with Hostfully through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Hostfully tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Hostfully tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Hostfully, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Hostfully tools were called, what data was returned, and how it influenced the final answer
Hostfully + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Hostfully MCP Server delivers measurable value.
Hybrid search: combine Hostfully real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Hostfully 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 Hostfully for fresh data
Analytical workflows: chain Hostfully queries with LlamaIndex's data connectors to build multi-source analytical reports
Hostfully MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Hostfully to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Hostfully to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHostfully + LlamaIndex FAQ
Common questions about integrating Hostfully 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 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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.