How to Use the InflatableOffice MCP in LlamaIndex

Q: How do I filter InflatableOffice tools in LlamaIndex?

Use the allowedtools parameter during agent setup. This restricts the LlamaIndex agent to only the specific tools you want it to access.

Index your rental business data in LlamaIndex to query historical performance and inventory status with precision.

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Connect InflatableOffice MCP to LlamaIndex

Create your Vinkius account to connect InflatableOffice to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup InflatableOffice with LlamaIndex

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Index leads with LlamaIndex

Use `list_leads` to pull data into your LlamaIndex knowledge base. This allows you to ask questions about customer history and inquiry trends. Your agent builds a searchable index from these records. You get answers based on your actual business data rather than generic assumptions.

Inventory search via LlamaIndex

Ground your agent's knowledge by indexing results from `list_rental_inventory`. This creates a semantic map of your stock that the AI can query instantly. When you ask about available items, the agent searches the vector store. This provides specific, grounded answers about what is currently ready for rent.

Retrieval-augmented scheduling with LlamaIndex

Combine `list_scheduled_events` with your documents to build a RAG application. The agent correlates event dates with customer contracts to answer scheduling queries. This approach provides context-aware responses. It allows you to query your own operational history to plan future events more effectively.

Setup guide

Set up InflatableOffice MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all InflatableOffice MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to InflatableOffice tools.",
)
response = await agent.run("List recent InflatableOffice data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by InflatableOffice. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about InflatableOffice MCP in LlamaIndex

Install the MCP tool spec, initialize the client with your URL, and convert the tools into a list. This allows the LlamaIndex agent to register and execute them.

The tools allow for real-time data access. You can also index the outputs into a vector store to perform semantic searches over your historical records.

All data accessed via the MCP server is ephemeral. The server only acts as a secure bridge between the API and your local LlamaIndex environment.

Use the allowed_tools parameter during agent setup. This restricts the LlamaIndex agent to only the specific tools you want it to access.

The server processes customer names, phone numbers, and event addresses. These are accessed through secure, short-lived memory buffers during the indexing process.

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