3,400+ MCP servers ready to use
Vinkius

meetergo MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Cancel Booking, Check Meetergo Status, Create Booking, and more

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add meetergo 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 App Connector for LlamaIndex

The meetergo app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 meetergo. "
            "You have 12 tools available."
        ),
    )

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

asyncio.run(main())
meetergo
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 meetergo MCP Server

Connect your meetergo account to any AI agent and take full control of your scheduling orchestration and appointment management through natural conversation. meetergo provides a robust platform for managing team availability and customer bookings, and this integration allows you to retrieve booking metadata, monitor team schedules, and manage meeting templates directly from your chat interface.

LlamaIndex agents combine meetergo tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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

  • Booking & Appointment Orchestration — List all scheduled meetings and retrieve detailed metadata programmatically to ensure your calendar is always synchronized.
  • Availability & Schedule Intelligence — Access and monitor team member availabilities directly from the AI interface to track throughput and identify open slots.
  • Template & Type Control — List and retrieve all active meeting templates (meeting types) via natural language to facilitate frictionless meeting coordination.
  • User & Context Oversight — Access granular details for specific users and their configured settings using simple AI commands to maintain a clear overview of your digital infrastructure.
  • Operational Monitoring — Track system responses and manage booking metadata to ensure your scheduling pipelines are always optimized.

The meetergo MCP Server exposes 12 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.

All 12 meetergo tools available for LlamaIndex

When LlamaIndex connects to meetergo through Vinkius, your AI agent gets direct access to every tool listed below — spanning appointment-booking, meeting-routing, calendar-sync, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

cancel_booking

Cancel a booking

check_meetergo_status

Verify connectivity

create_booking

Create a booking

get_availability

Get user availability

get_booking

Get booking details

get_me

Get my profile

get_meeting_type

Get meeting type

get_user

Get user details

list_availability

List availability

list_bookings

List bookings

list_meeting_types

List meeting types

list_users

List users

Connect meetergo to LlamaIndex via MCP

Follow these steps to wire meetergo into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 tools from meetergo

Why Use LlamaIndex with the meetergo MCP Server

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

01

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

02

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

03

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

04

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

meetergo + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query meetergo 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 meetergo for fresh data

04

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

Example Prompts for meetergo in LlamaIndex

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

01

"List all active bookings in meetergo."

02

"What meeting templates do I have?"

03

"Check my availability in meetergo."

Troubleshooting meetergo MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

meetergo + LlamaIndex FAQ

Common questions about integrating meetergo 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 meetergo 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.