Clockwise MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Clockwise as an MCP tool provider through 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 Clockwise. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Clockwise?"
)
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 Clockwise MCP Server
Connect your Clockwise account to any AI agent and take full control of your intelligent calendar workflows through natural conversation.
LlamaIndex agents combine Clockwise tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.
What you can do
- Focus Time Management — List and audit AI-created focus time blocks to ensure you have space for deep work
- Team Availability — Check overlapping free windows across multiple team members to find the perfect meeting time
- Calendar Optimization — Monitor flexible events and toggle Autopilot to let AI intelligently move meetings for optimal productivity
- Meeting Analytics — Retrieve historical data on meeting fragmentation and context switching costs
- Time Insights — Get weekly or monthly reports on deep work achievements and calendar health
- Preference Control — Audit and update meeting-free days, lunch breaks, and focus time goals directly from your workspace
The Clockwise MCP Server exposes 10 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 Clockwise to LlamaIndex via MCP
Follow these steps to integrate the Clockwise 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 10 tools from Clockwise
Why Use LlamaIndex with the Clockwise MCP Server
LlamaIndex provides unique advantages when paired with Clockwise through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Clockwise tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Clockwise tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Clockwise, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Clockwise tools were called, what data was returned, and how it influenced the final answer
Clockwise + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Clockwise MCP Server delivers measurable value.
Hybrid search: combine Clockwise real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Clockwise 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 Clockwise for fresh data
Analytical workflows: chain Clockwise queries with LlamaIndex's data connectors to build multi-source analytical reports
Clockwise MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Clockwise to LlamaIndex via MCP:
get_autopilot_status
Extracts explicitly attached internal structural states pulling logic engine mappings
get_calendar_events
Identify bounded logical arrays managing top-level calendar blocks
get_current_user
Retrieve the root identity mappings bounding specific organization accounts
get_focus_time
Perform structural extraction of properties driving active Deep Work limits
get_meeting_analytics
Identify precise active arrays spanning meeting metadata histories
get_preferences
Retrieve the exact structural matching verifying explicit user settings
get_team_availability
Identify explicit Cloud calculations tracking absolute team free times
get_time_insights
Extracts structural arrays resolving AI-nested focus analytics
toggle_autopilot
Irreversibly mutate explicit boundaries toggling intelligent meeting moving
update_preferences
Provision a highly-available override payload updating Clockwise configurations
Example Prompts for Clockwise in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Clockwise immediately.
"What is my team's availability for tomorrow? Emails: ['john@acme.com', 'sarah@acme.com']"
"Show me my focus time insights for this month"
"Set my focus time goal to 3 hours per day"
Troubleshooting Clockwise MCP Server with LlamaIndex
Common issues when connecting Clockwise to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpClockwise + LlamaIndex FAQ
Common questions about integrating Clockwise 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 Clockwise 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 Clockwise to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.