How to Use the Truto Unified Calendar MCP in LlamaIndex
Build Knowledge-Augmented Agents with LlamaIndex. Index calendar data using our MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Truto Unified Calendar MCP to LlamaIndex
Create your Vinkius account to connect Truto Unified Calendar to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Search past schedules and events.
The `list_events` tool retrieves all event details for a given calendar ID, returning titles, locations, and attendees. These results are perfect to index into a vector store so you can semantically query historical appointments. The agent can then combine this live API data with documents. If the user asks about 'the meeting last month with John at the downtown office,' LlamaIndex searches both your document base and the indexed event list.
Understand calendar availability range.
`get_free_busy` accepts a calendar ID and a time range. It returns structured blocks—marked as free or busy—which you can index to answer complex questions like, 'When was the team generally available last quarter?' This mechanism lets you query historical availability patterns that wouldn't be obvious just looking at single events.
Manage event creation and modification.
The `create_event` tool allows your RAG application to write new data points (new appointments) back into the system. You pass a calendar ID, title, and ISO times, making the API call part of the knowledge cycle. Similarly, using `update_event` lets you modify existing records in the indexable knowledge base.
Set up Truto Unified Calendar MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 Truto Unified Calendar MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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 Truto Unified Calendar tools.",
)
response = await agent.run("List recent Truto Unified Calendar data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Truto. 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.
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Common questions about Truto Unified Calendar MCP in LlamaIndex
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