Guidebook 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 Guidebook 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 Guidebook. "
"You have 10 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 manage your mobile event or organization app content through natural conversation.
LlamaIndex agents combine Guidebook 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
- Guide Oversight — List all mobile guides in your account and retrieve detailed metadata for each.
- Schedule Management — Browse, list, and inspect schedule sessions to keep your event timeline up to date.
- Speaker Coordination — Access speaker profiles and presenter details to ensure all bio information is accurate.
- Custom Lists — Manage Exhibitors, Sponsors, or any other custom data lists within your app.
- Venue & Locations — Retrieve all defined locations and map data for your event.
- Rate Limit Tracking — Monitor your API usage to stay within your daily quota.
The Guidebook 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 Guidebook to LlamaIndex via MCP
Follow these steps to integrate the Guidebook 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 Guidebook
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
Guidebook MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Guidebook to LlamaIndex via MCP:
get_guide
Get detailed information about a specific guide
get_rate_limit
Check current API usage and rate limits
get_session
Get details for a specific schedule session
get_speaker
Get details for a specific speaker profile
list_custom_lists
List custom list items (e.g., Exhibitors, Sponsors) for a guide
list_guides
List all guides available in the account
list_locations
List all locations/venues defined for a guide
list_schedules
List schedules for a specific guide
list_sessions
List all schedule sessions for a specific guide
list_speakers
List all speakers/presenters for a specific guide
Example Prompts for Guidebook in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Guidebook immediately.
"List all active mobile guides in my account."
"Show the schedule sessions for guide ID 8821."
"Who are the speakers for the Global Tech Summit?"
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.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Guidebook 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 Guidebook to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.