How to Use the Deadline Calculator MCP in LlamaIndex

Index your project timelines into LlamaIndex knowledge bases using this MCP.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Deadline Calculator MCP to LlamaIndex

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

GDPR Included with Plan

Setup Deadline Calculator with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Ground your index in real-time deadlines

Use `business_deadline_tool` to generate accurate project dates that your LlamaIndex agent can then store in a vector database. This makes your past scheduling decisions queryable. When your agent needs to know why a deadline was set, it searches the index of previous tool outputs. You get answers based on actual math, not guesses.

Query holiday registries semantically

Retrieve regional holiday lists with `holiday_registry_tool` and index them for your RAG pipeline. Your application can now answer questions about regional availability. This turns static holiday lists into a searchable knowledge source. Your agent can compare dates against regional constraints instantly.

Automate calendar math for RAG

Call `calendar_deadline_tool` during your ingestion process to establish clear timelines. The results are immediately available for your vector store. This ensures every date stored in your index is calculated consistently. It provides a reliable foundation for your document-based reasoning.

Setup guide

Set up Deadline 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 Deadline 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 Deadline Calculator tools.",
)
response = await agent.run("List recent Deadline Calculator data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Deadline 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Deadline Calculator now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Deadline Calculator MCP in LlamaIndex

Use the MCP tool spec to convert the tools into a format LlamaIndex understands. This lets your FunctionAgent call them as part of the indexing process.

No, because the MCP performs the actual calculation. LlamaIndex then indexes the factual result, grounding your agent in verified data.

Yes, once you index the tool outputs, they become part of your knowledge base. You can query your own history of calculated dates.

The MCP only accesses public holiday registry information. It does not touch your private documents or user records.

Keep your index updated by rerunning the agent logic whenever your project parameters change. The tool provides the math, but you manage the refresh frequency.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript