How to Use the Presumed Profit Tax Calculator MCP in LlamaIndex
Embed corporate tax rules into your LlamaIndex RAG applications using this specialized MCP.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Presumed Profit Tax Calculator MCP to LlamaIndex
Create your Vinkius account to connect Presumed Profit Tax Calculator to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Ground RAG apps in real tax math
LlamaIndex excels at semantic search but struggles with hard math. Connecting this MCP gives your knowledge base actual computational abilities. You run `get_taxable_base` to convert raw revenue into the correct presumptive margin. The output gets indexed alongside your corporate documents for unified querying.
Index CIT and SCLL results
Historical tax sessions usually disappear after the prompt ends. Your LlamaIndex setup captures these exact figures and stores them in vector space. The FunctionAgent executes `calculate_cit_breakdown` to figure out surtaxes. It then runs `calculate_scll_liability` to grab the social contribution numbers, making both available for future context retrieval.
Build queryable tax reports in LlamaIndex
Users want to ask their agent how much they owe across different quarters. A standard LLM hallucinates these numbers; your grounded application returns facts. Firing `generate_tax_summary_report` creates a consolidated document. LlamaIndex ingests that summary so users can chat with their actual tax liabilities.
Set up Presumed Profit Tax Calculator MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 Presumed Profit Tax Calculator MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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 Presumed Profit Tax Calculator tools.",
)
response = await agent.run("List recent Presumed Profit Tax Calculator data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Presumed Profit Tax 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 Presumed Profit Tax Calculator MCP in LlamaIndex
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