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SavvyCal MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

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

Vinkius supports streamable HTTP and SSE.

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 SavvyCal. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())
SavvyCal
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* 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 SavvyCal MCP Server

Connect your SavvyCal account to any AI agent to streamline your meeting coordination. Let your AI agent act as your personal scheduling assistant without having to constantly switch tabs.

LlamaIndex agents combine SavvyCal 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

  • Scheduling Links — View your active booking links, create new customized links dynamically, and manage URL slugs on the fly
  • Availability Constraints — Query specific date ranges to find exactly when you are bookable across your various scheduling setups
  • Events Management — List all upcoming scheduled meetings, get precise attendee details, and programmatically cancel appointments if needed
  • Account Settings — Retrieve your base account profile and verify automated timezone settings

The SavvyCal 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 SavvyCal to LlamaIndex via MCP

Follow these steps to integrate the SavvyCal MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from SavvyCal

Why Use LlamaIndex with the SavvyCal MCP Server

LlamaIndex provides unique advantages when paired with SavvyCal through the Model Context Protocol.

01

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

02

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

03

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

04

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

SavvyCal + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the SavvyCal MCP Server delivers measurable value.

01

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

02

Data enrichment: query SavvyCal to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying SavvyCal for fresh data

04

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

SavvyCal MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect SavvyCal to LlamaIndex via MCP:

01

cancel_event

Specify the event ID and a cancellation reason. Cancels a scheduled appointment

02

create_link

Specify name, slug, and duration in minutes. Creates a new scheduling link

03

delete_link

This action is irreversible. Permanently deletes a scheduling link

04

get_account

Retrieves authenticated account information

05

get_event

Retrieves details for a specific scheduled event

06

get_link

Retrieves details for a specific scheduling link

07

list_availability

Retrieves available time slots for a link within a date range

08

list_events

Lists all scheduled booking events

09

list_links

Lists all scheduling links in the SavvyCal account

10

update_link

Updates an existing scheduling link

Example Prompts for SavvyCal in LlamaIndex

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

01

"When am I available next Wednesday for my 'Consultation' link?"

02

"Create a new 30-minute link named Q3 Sync."

03

"Who am I meeting with tomorrow?"

Troubleshooting SavvyCal MCP Server with LlamaIndex

Common issues when connecting SavvyCal to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

SavvyCal + LlamaIndex FAQ

Common questions about integrating SavvyCal MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query SavvyCal tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

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

Connect SavvyCal to LlamaIndex

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.