How to Use the meetergo MCP in LlamaIndex

Q: How do I index meetergo meeting types into LlamaIndex?

You use the listmeetingtypes tool within a LlamaIndex data loader to fetch active templates. These templates are then chunked, vectorized, and stored in your index so your agent can query them semantically.

Q: How does LlamaIndex prevent hallucinations when scheduling with meetergo?

It grounds its decisions in live data retrieved via checkmeetergostatus and getavailability. By feeding these fresh API payloads directly into the LLM context, the agent avoids booking unavailable slots.

Q: What tool should I use to check a specific rep's details?

You should use getuser or listusers to retrieve rep profiles, including their specific routing settings and department assignments.

Index meetergo calendar data directly into your LlamaIndex vector store for grounded, context-aware scheduling decisions.

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Connect meetergo MCP to LlamaIndex

Create your Vinkius account to connect meetergo 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.

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Setup meetergo with LlamaIndex

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Index meetergo bookings for LlamaIndex RAG context

This meetergo MCP Server provides `list_bookings` to let your LlamaIndex pipeline query and index active meeting records. This turns raw calendar data into searchable document chunks within your vector store. Your RAG application queries past meetings to ground its answers, ensuring your agent doesn't hallucinate booking statuses. It checks real scheduling facts before suggesting follow-ups to prospects.

Map team availability into LlamaIndex query engines

The `list_availability` tool lets LlamaIndex query engines ingest rep schedules directly into semantic search indexes. By converting raw timestamps into searchable vectors, your agent finds the best meeting slot based on natural language queries. Instead of running complex date math, the agent queries the index for open slots next Tuesday afternoon. The MCP Server resolves the request by checking `get_availability` and matching it to the prospect's intent.

Ground routing rules in actual meetergo configurations

Use `list_meeting_types` to index your company's routing templates directly into your LlamaIndex knowledge base. This allows your agent to understand which meeting type fits a specific customer segment without hardcoding rules. When an agent needs to schedule a call, it searches the indexed meeting types to find the best fit. It then uses `create_booking` to finalize the meeting, ensuring every step aligns with your structured routing rules.

Setup guide

Set up meetergo MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 meetergo MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 meetergo tools.",
)
response = await agent.run("List recent meetergo data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by meetergo. 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 meetergo MCP in LlamaIndex

You use the `list_meeting_types` tool within a LlamaIndex data loader to fetch active templates. These templates are then chunked, vectorized, and stored in your index so your agent can query them semantically.

Yes. After retrieving the relevant booking ID from your vector index, your LlamaIndex agent calls `create_booking` or `cancel_booking` using the MCP Server to modify the live schedule.

It grounds its decisions in live data retrieved via `check_meetergo_status` and `get_availability`. By feeding these fresh API payloads directly into the LLM context, the agent avoids booking unavailable slots.

You should use `get_user` or `list_users` to retrieve rep profiles, including their specific routing settings and department assignments.

The MCP Server runs inside an isolated, zero-trust environment on Vinkius. Your calendar availability and user profiles are only accessed during live tool execution, and no raw credentials are saved in your vector store.

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