Cronofy 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 Cronofy 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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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 Cronofy. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Cronofy?"
)
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 Cronofy MCP Server
Connect your Cronofy account to any AI agent and take full control of your unified calendar and scheduling workflows through natural conversation.
LlamaIndex agents combine Cronofy 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
- Unified Event Management — List, retrieve, and create events across aggregated Google, iCloud, and Exchange overlays limitlessly
- Multi-User Availability — Query availability for up to 10 participants simultaneously, calculating strict intersections to find the perfect meeting time
- Free/Busy Auditing — Execute bulk iterations to map time matrices and return exact available boundaries without exposing event payloads
- Automated Scheduling — Generate live-availability links and shared scheduling requests to simplify meeting coordination with external members
- Identity & Profile Mapping — Inspect unified account canonical IDs and list distinct identity providers connected natively to your Cronofy profile
- Sync Control — Irreversibly vaporize explicit validations and delete events to maintain absolute consistency across all connected upstream providers
The Cronofy 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 Cronofy to LlamaIndex via MCP
Follow these steps to integrate the Cronofy 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 Cronofy
Why Use LlamaIndex with the Cronofy MCP Server
LlamaIndex provides unique advantages when paired with Cronofy through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Cronofy tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Cronofy tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Cronofy, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Cronofy tools were called, what data was returned, and how it influenced the final answer
Cronofy + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Cronofy MCP Server delivers measurable value.
Hybrid search: combine Cronofy real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Cronofy 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 Cronofy for fresh data
Analytical workflows: chain Cronofy queries with LlamaIndex's data connectors to build multi-source analytical reports
Cronofy MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Cronofy to LlamaIndex via MCP:
create_event
Provision a highly-available JSON Payload generating explicit Sync links
create_scheduling_request
Fetch elaborate explicit mapped limits via native forms dispatch
delete_event
Irreversibly vaporize explicit validations extracting rich Provider syncs
get_account
Inspect deep internal arrays mitigating specific Sub Provider lists
get_free_busy
Enumerate explicitly attached structured rules exporting active Overlaps
get_user_info
Identify precise active arrays spanning native Gateway auth bounds
list_calendars
Retrieve explicit Cloud logging tracing explicit Payload IDs limitlessly
list_profiles
Retrieve the exact structural matching verifying Blueprint directories
query_availability
Dispatch an automated validation check routing explicit Cross-Provider checks
read_events
cronofy.com/v1/events` pulling unified aggregated Google, iCloud, and Exchange overlays limitlessly. Identify bounded CRM records inside the Headless Cronofy Engine
Example Prompts for Cronofy in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Cronofy immediately.
"List my calendar events from tomorrow to next week"
"Find a 30-minute slot for a meeting with john@example.com tomorrow"
"Create a scheduling link for a 'Project Review' meeting"
Troubleshooting Cronofy MCP Server with LlamaIndex
Common issues when connecting Cronofy to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCronofy + LlamaIndex FAQ
Common questions about integrating Cronofy 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 Cronofy 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 Cronofy to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.