Guidebook MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Guidebook Status, Create Custom List Item, Create Guide, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Guidebook 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 Guidebook app connector for LlamaIndex is a standout in the Productivity 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
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 Guidebook. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Guidebook?"
)
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 Guidebook MCP Server
Connect your Guidebook Builder account to any AI agent and take full control of your mobile event guides and scheduling workflows through natural conversation.
LlamaIndex agents combine Guidebook 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
- Guide Orchestration — List and manage all mobile guides in your account and retrieve detailed guide metadata
- Schedule Management — Access and monitor event schedules and sessions programmatically to keep your attendees updated
- Location Mapping — List and search for mapped event locations to ensure precise spatial coordination for your attendees
- Custom Lists — Manage and retrieve custom lists (speakers, exhibitors, sponsors) to organize your event's intellectual capital
- Activity Monitoring — Check guide details and status directly through your agent for instant event reporting
The Guidebook 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 Guidebook tools available for LlamaIndex
When LlamaIndex connects to Guidebook through Vinkius, your AI agent gets direct access to every tool listed below — spanning mobile-apps, event-scheduling, attendee-engagement, 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.
Verify connectivity
Add list item
Create a guide
Get session details
Get guide details
List attendees
List custom list items
List custom lists
List sessions
List guides
List locations
Update a guide
Connect Guidebook to LlamaIndex via MCP
Follow these steps to wire Guidebook into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Guidebook MCP Server
LlamaIndex provides unique advantages when paired with Guidebook through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Guidebook tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Guidebook tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Guidebook, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Guidebook tools were called, what data was returned, and how it influenced the final answer
Guidebook + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Guidebook MCP Server delivers measurable value.
Hybrid search: combine Guidebook real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Guidebook 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 Guidebook for fresh data
Analytical workflows: chain Guidebook queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Guidebook in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Guidebook immediately.
"List all my mobile guides in Guidebook."
"Show the schedule for the 'Global Tech Expo 2026' guide."
"List all speakers for the guide ID 'g_123'."
Troubleshooting Guidebook MCP Server with LlamaIndex
Common issues when connecting Guidebook to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGuidebook + LlamaIndex FAQ
Common questions about integrating Guidebook MCP Server with LlamaIndex.