How do I request FareHarbor API access?

API access is not public. You must email support@fareharbor.com with your business use case to receive your unique App Key and User Key.

Is there a sandbox environment for testing?

Yes, FareHarbor provides a demo environment at demo.fareharbor.com. You can use this host with your sandbox credentials to test bookings safely.

What is a 'shortname' in FareHarbor?

A shortname is a unique identifier for a specific tour operator or company on the FareHarbor platform. You can find it in the company metadata or dashboard.

FareHarbor MCP Server for LangChain 11 tools — connect in under 2 minutes

Name: FareHarbor
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect FareHarbor 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({
        "fareharbor": {
            "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 FareHarbor, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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 FareHarbor MCP Server

Connect your FareHarbor affiliate or partner account to any AI agent and take full control of your tour and activity bookings through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with FareHarbor through native MCP adapters. Connect 11 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

Operator Discovery — List all authorized tour companies and operators in your network
Live Inventory Access — Query specific tours (items) and check real-time availability for any date or range
Seamless Booking — Create new bookings with customer details and ticket types directly from the cloud
Availability Inspection — Fetch granular details for specific time slots including pricing and remaining capacity
Booking Management — List recent bookings and retrieve detailed status by UUID flawlessy
User Context — Verify your API application and user identity credentials through the agent

The FareHarbor MCP Server exposes 11 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 FareHarbor to LangChain via MCP

Follow these steps to integrate the FareHarbor 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 11 tools from FareHarbor via MCP

Why Use LangChain with the FareHarbor MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine FareHarbor 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 FareHarbor queries for multi-turn workflows

FareHarbor + LangChain Use Cases

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

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

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

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

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

FareHarbor MCP Tools for LangChain (11)

These 11 tools become available when you connect FareHarbor to LangChain via MCP:

create_booking

Create a new booking for a tour or activity

get_availability

Get details for a specific availability slot

get_booking

Get details for a specific booking by UUID

get_item_details

Get details for a specific tour or activity

get_me

Get current API user/affiliate identity

list_availabilities_by_date

List available slots for an item on a specific date

list_availabilities_by_range

List available slots for an item within a date range

list_bookings

List recent bookings for a company

list_companies

List all companies (operators) authorized for booking

list_items

List all tours or activities (items) for a specific company

list_lodgings

List lodging/pickup locations for a company

Example Prompts for FareHarbor in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with FareHarbor immediately.

"List the tour companies I can book for."

"Check availability for the Whale Watching tour tomorrow."

"Show me the details for booking UUID abc-123."

Troubleshooting FareHarbor MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

FareHarbor + LangChain FAQ

Common questions about integrating FareHarbor 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.