How do I generate my Guidebook API Key?

Log in to Guidebook Builder, click your profile dropdown in the top right, select 'Manage your account', and then navigate to the 'API Key' section to generate your token.

Can I see the schedules for multiple guides?

Yes! You can use `list_guides` to find the IDs for all your guides, and then use `list_sessions` or `list_schedules` with the specific guide ID to see its agenda.

How many requests can I make to the Guidebook API?

The Guidebook Open API typically has a limit of 10,000 requests per day per account. You can use the `get_rate_limit` tool to check your current usage.

What format should the API Key be in?

The API Key should be the raw JWT token provided by the Guidebook Builder. The integration will automatically handle the 'JWT' prefix for authorization.

Guidebook MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Guidebook
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Guidebook through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "guidebook": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Guidebook, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 Guidebook MCP Server

Connect your Guidebook Builder account to any AI agent and manage your mobile event or organization app content through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Guidebook through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Guidebook MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Guidebook via MCP

Why Use LangChain with the Guidebook MCP Server

LangChain provides unique advantages when paired with Guidebook through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Guidebook MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Guidebook queries for multi-turn workflows

Guidebook + LangChain Use Cases

Practical scenarios where LangChain combined with the Guidebook MCP Server delivers measurable value.

RAG with live data: combine Guidebook tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Guidebook, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Guidebook tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Guidebook tool call, measure latency, and optimize your agent's performance

Guidebook MCP Tools for LangChain (10)

These 10 tools become available when you connect Guidebook to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Guidebook to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Guidebook + LangChain FAQ

Common questions about integrating Guidebook MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.