World Time (Keyless) MCP Server for LlamaIndex 2 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add World Time (Keyless) as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 World Time (Keyless). "
"You have 2 tools available."
),
)
response = await agent.run(
"What tools are available in World Time (Keyless)?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About World Time (Keyless) MCP Server
Connect to the World Time API and empower your AI agent with precise, synchronized time data through natural conversation. This server provides micro-service level access to atomic time across all IANA timezone regions without requiring any manual signups or complex API keys.
LlamaIndex agents combine World Time (Keyless) tool responses with indexed documents for comprehensive, grounded answers. Connect 2 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Precise Synchronization — Retrieve the exact current time for any valid IANA region (e.g., 'Europe/London' or 'America/New_York') with millisecond precision
- Offset Discovery — Verify the current UTC offset and check whether a specific location is currently observing Daylight Saving Time (DST)
- Timezone Browsing — List all supported timezone strings to ensure you are using the correct identifier for your requests
- IP-Based Inference — Automatically retrieve the current local time based on the inferred location of the network IP address
- Standardized Data — Access high-quality JSON responses including Unix timestamps, day of year, and week number for scheduling purposes
- Global Coverage — Get reliable time data for any part of the world, from major cities to remote islands
The World Time (Keyless) MCP Server exposes 2 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect World Time (Keyless) to LlamaIndex via MCP
Follow these steps to integrate the World Time (Keyless) MCP Server with LlamaIndex.
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 2 tools from World Time (Keyless)
Why Use LlamaIndex with the World Time (Keyless) MCP Server
LlamaIndex provides unique advantages when paired with World Time (Keyless) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine World Time (Keyless) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain World Time (Keyless) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query World Time (Keyless), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what World Time (Keyless) tools were called, what data was returned, and how it influenced the final answer
World Time (Keyless) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the World Time (Keyless) MCP Server delivers measurable value.
Hybrid search: combine World Time (Keyless) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query World Time (Keyless) 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 World Time (Keyless) for fresh data
Analytical workflows: chain World Time (Keyless) queries with LlamaIndex's data connectors to build multi-source analytical reports
World Time (Keyless) MCP Tools for LlamaIndex (2)
These 2 tools become available when you connect World Time (Keyless) to LlamaIndex via MCP:
get_current_time
You can provide a timezone string (e.g. "America/Sao_Paulo") or use "ip" to infer from the network. Retrieves the exact current atomic time, UTC offset, and DST state for a specified timezone
list_available_timezones
Lists all valid timezone regions (e.g. Europe/London) supported by the World Time API
Example Prompts for World Time (Keyless) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with World Time (Keyless) immediately.
"What time is it in Tokyo right now?"
"Check the current time based on my IP."
"Is London currently in Daylight Saving Time?"
Troubleshooting World Time (Keyless) MCP Server with LlamaIndex
Common issues when connecting World Time (Keyless) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWorld Time (Keyless) + LlamaIndex FAQ
Common questions about integrating World Time (Keyless) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect World Time (Keyless) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect World Time (Keyless) to LlamaIndex
Get your token, paste the configuration, and start using 2 tools in under 2 minutes. No API key management needed.
