How to Use the Guidebook MCP in LlamaIndex

Q: How do I index Guidebook event data into LlamaIndex?

Use llama-index-tools-mcp to connect to the Guidebook MCP Server. You can fetch data using listsessions or listspeakers and convert the JSON outputs into Document objects for your vector index.

Q: How do I handle Guidebook rate limits within LlamaIndex workflows?

Call getratelimit before running intensive indexing tasks. This allows your LlamaIndex pipeline to pause or throttle its API calls if you are close to exhausting your hourly quota.

Q: Can I use LlamaIndex with the Guidebook MCP Server to search custom lists?

Yes. You can fetch exhibitors or sponsors using listcustomlists and index them. This enables semantic search over your custom app directories.

Index your Guidebook event schedules and speaker bios into LlamaIndex vector stores for semantic search.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Guidebook MCP to LlamaIndex

Create your Vinkius account to connect Guidebook 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.

GDPR Free for Subscribers

Setup Guidebook with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

RAG-powered schedule querying with LlamaIndex

Stop guessing which sessions conflict or which speakers are double-booked. This MCP Server lets your LlamaIndex pipeline pull live event data with `list_sessions` and `list_schedules`, converting raw API payloads into searchable document nodes. Your agent can then run semantic search queries over your actual conference lineup. By indexing the output of `get_session`, you can build support bots that answer complex attendee questions. The agent grounds its answers in real-time guide data instead of relying on outdated training sets.

Semantic search over custom list items

Guidebook custom lists often contain critical exhibitor and sponsor details. By using `list_custom_lists`, LlamaIndex can ingest these directories directly into your vector store. Attendees or organizers can then search for sponsors using natural language queries. The engine automatically links these custom list items with speaker profiles fetched via `list_speakers`. This builds a highly connected knowledge graph of your entire event ecosystem.

Context-aware guide management

Managing multiple events is simple when your agent understands the context of each guide. Use `list_guides` and `get_guide` to let LlamaIndex catalog your entire event portfolio. The agent can compare past guides to help plan layout structures for upcoming summits. It keeps your retrieval chains focused. The agent only queries the active guide ID, preventing cross-event data contamination during search indexing.

Setup guide

Set up Guidebook 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 Guidebook 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 Guidebook tools.",
)
response = await agent.run("List recent Guidebook data")

Get your connection token →

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

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Guidebook now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Guidebook MCP in LlamaIndex

Use `llama-index-tools-mcp` to connect to the Guidebook MCP Server. You can fetch data using `list_sessions` or `list_speakers` and convert the JSON outputs into Document objects for your vector index.

This integration focuses on retrieving and managing guide data. Your LlamaIndex agent can query tools like `list_locations` to verify venue details before suggesting schedule adjustments to organizers.

Call `get_rate_limit` before running intensive indexing tasks. This allows your LlamaIndex pipeline to pause or throttle its API calls if you are close to exhausting your hourly quota.

Yes. You can fetch exhibitors or sponsors using `list_custom_lists` and index them. This enables semantic search over your custom app directories.

Yes. Your API keys are managed securely by Vinkius and run in an isolated MCP container. Only the public-facing bio text retrieved by `get_speaker` is indexed, ensuring private account configurations remain completely untouched.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript