How to Use the US Depreciation Calculator MCP in LlamaIndex

Index asset depreciation schedules into your LlamaIndex vector store for instant tax analysis using this financial MCP.

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Connect US Depreciation Calculator MCP to LlamaIndex

Create your Vinkius account to connect US Depreciation Calculator to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup US Depreciation Calculator with LlamaIndex

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Claude

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Index schedules for semantic search

You generate a year-by-year depreciation schedule by calling `calculate_depreciation_schedule` and indexing the output directly into your document store. LlamaIndex structures this data so you can query past calculations. Instead of recalculating every time, your agent finds the existing schedule in your index.

Query expensing comparisons in your RAG pipeline

Here's how it plays out: you run `calculate_expensing_impact` to weigh Section 179 against Bonus Depreciation, and the system indexes the comparison. This MCP output becomes a permanent part of your knowledge base. Your client queries get answered with actual calculation data rather than generic tax advice.

Retrieve asset classes via LlamaIndex MCP Server

According to the tax code, asset recovery periods dictate your schedules, and `get_asset_class_info` gets the exact parameters for commercial or residential property. Your agent queries this index to verify class lives. You avoid manual lookup mistakes by keeping the IRS classifications close to your data pipeline.

Setup guide

Set up US Depreciation Calculator 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 US Depreciation Calculator 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 US Depreciation Calculator tools.",
)
response = await agent.run("List recent US Depreciation Calculator 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 US Depreciation Calculator. 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 US Depreciation Calculator MCP in LlamaIndex

Use the llama-index-tools-mcp package to initialize the client. Then convert the tools into a tool spec and pass them to your agent.

Yes. You can run the calculation tools and write the resulting schedules directly into a vector index. This lets you query the tax data semantically.

The tool retrieves the correct IRS recovery periods for both classes. LlamaIndex uses these parameters to build accurate, searchable tax profiles.

Yes, the LlamaIndex client lets you pass an allowed tools list. You can restrict the agent to only run calculations or only look up classes.

Your asset values, purchase dates, and depreciation schedules are processed in memory. No data is stored on Vinkius infrastructure, keeping your client tax information private.

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