SavvyCal 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 SavvyCal 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 SavvyCal. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in SavvyCal?"
)
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 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.
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 SavvyCal
Why Use LlamaIndex with the SavvyCal MCP Server
LlamaIndex provides unique advantages when paired with SavvyCal through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine SavvyCal tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain SavvyCal tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query SavvyCal, a vector store, and a SQL database in a single turn and synthesize results
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.
Hybrid search: combine SavvyCal real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query SavvyCal 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 SavvyCal for fresh data
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:
cancel_event
Specify the event ID and a cancellation reason. Cancels a scheduled appointment
create_link
Specify name, slug, and duration in minutes. Creates a new scheduling link
delete_link
This action is irreversible. Permanently deletes a scheduling link
get_account
Retrieves authenticated account information
get_event
Retrieves details for a specific scheduled event
get_link
Retrieves details for a specific scheduling link
list_availability
Retrieves available time slots for a link within a date range
list_events
Lists all scheduled booking events
list_links
Lists all scheduling links in the SavvyCal account
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.
"When am I available next Wednesday for my 'Consultation' link?"
"Create a new 30-minute link named Q3 Sync."
"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.
BasicMCPClient not found
pip install llama-index-tools-mcpSavvyCal + LlamaIndex FAQ
Common questions about integrating SavvyCal 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 SavvyCal 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 SavvyCal to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
