SMPTE Timecode Calculator MCP Server for LlamaIndexGive LlamaIndex instant access to 3 tools to Add Timecodes, Frames To Timecode, Subtract Timecodes

Name: SMPTE Timecode Calculator
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add SMPTE Timecode Calculator as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The SMPTE Timecode Calculator MCP Server for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 3 tools to work with, ready to go from day one.

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python

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 SMPTE Timecode Calculator. "
            "You have 3 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in SMPTE Timecode Calculator?"
    )
    print(response)

asyncio.run(main())

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About SMPTE Timecode Calculator MCP Server

LLMs are notoriously terrible at base-60 and base-30 math. If you ask an AI to add 00:01:23:14 to 00:02:45:21 at 29.97 drop-frame, the result is almost guaranteed to be a hallucination. This MCP fixes that for video automation pipelines.

LlamaIndex agents combine SMPTE Timecode Calculator tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through 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 Superpowers

Flawless Base-60 Math: Perform exact frame-accurate addition and subtraction of SMPTE timecodes.
Drop-Frame Support: Automatically accounts for NTSC 29.97 or 59.94 drop-frame logic.

The SMPTE Timecode Calculator MCP Server exposes 3 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 3 SMPTE Timecode Calculator tools available for LlamaIndex

When LlamaIndex connects to SMPTE Timecode Calculator through Vinkius, your AI agent gets direct access to every tool listed below — spanning smpte, timecode, video-editing, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add timecodes on SMPTE Timecode Calculator

Pass the frame count and the framerate (24, 25, 30, etc.). Adds two SMPTE timecodes natively supporting drop-frame math

frames

Frames to timecode on SMPTE Timecode Calculator

Pass both timecode strings and the framerate, and receive the summed result. Converts absolute frame counts into SMPTE formatted timecode strings

subtract

Subtract timecodes on SMPTE Timecode Calculator

Pass the timecode and framerate. Subtracts two SMPTE timecodes

Connect SMPTE Timecode Calculator to LlamaIndex via MCP

Follow these steps to wire SMPTE Timecode Calculator into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 3 tools from SMPTE Timecode Calculator

Why Use LlamaIndex with the SMPTE Timecode Calculator MCP Server

LlamaIndex provides unique advantages when paired with SMPTE Timecode Calculator through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine SMPTE Timecode Calculator tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain SMPTE Timecode Calculator tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query SMPTE Timecode Calculator, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what SMPTE Timecode Calculator tools were called, what data was returned, and how it influenced the final answer

SMPTE Timecode Calculator + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the SMPTE Timecode Calculator MCP Server delivers measurable value.

Hybrid search: combine SMPTE Timecode Calculator real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query SMPTE Timecode Calculator 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 SMPTE Timecode Calculator for fresh data

Analytical workflows: chain SMPTE Timecode Calculator queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for SMPTE Timecode Calculator in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with SMPTE Timecode Calculator immediately.

"Add the timecode `00:01:23:14` to `00:02:45:21` assuming a 29.97 drop-frame video format."

"Subtract exactly 30 frames from the starting timecode `00:01:00:00` at a standard 30fps rate."

"Translate an absolute position of 1500 frames into a readable timecode string for a 25fps video."

Troubleshooting SMPTE Timecode Calculator MCP Server with LlamaIndex

Common issues when connecting SMPTE Timecode Calculator to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

SMPTE Timecode Calculator + LlamaIndex FAQ

Common questions about integrating SMPTE Timecode Calculator MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query SMPTE Timecode Calculator tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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