How do I get my API Keys for Freightview?

Log in to your Freightview account, click your Company Name, then go to Account Settings > API Keys to find your User and Account keys.

Can I request live rates for a new shipment?

Yes! Use the 'request_rates' tool and provide the origin and destination zip codes. The agent will retrieve quotes from all your connected carriers.

How do I check the current status of an active shipment?

Use the 'get_shipment_details' tool and provide the Shipment ID. The agent will return the most recent tracking metadata and location history.

Can I see a list of all my connected carriers?

Yes! The 'list_connected_carriers' tool retrieves all carrier accounts currently linked to your Freightview platform.

Freightview MCP Server for LangChain 12 tools — connect in under 2 minutes

Name: Freightview
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 12 Tools Framework

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

asyncio.run(main())

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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 Freightview MCP Server

Connect your Freightview account to any AI agent to automate your LTL (Less-Than-Truckload) freight quoting and logistics management through the Model Context Protocol (MCP). Freightview is a centralized platform that connects shippers with all their carriers in one place. This MCP server enables you to request real-time rates, monitor active shipments, and oversee your logistics network directly through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Freightview through native MCP adapters. Connect 12 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.

Key Features

Real-time Quoting — Request freight rates from all your connected carriers simultaneously by providing origin and destination details.
Shipment Tracking — List all active shipments and fetch detailed tracking metadata including current transit status and estimated delivery.
Carrier Oversight — Access and list all carriers connected to your account to maintain full visibility of your logistics partners.
Logistics Directory — Access your saved address book and item catalog to facilitate faster and more accurate quoting.
Webhook Integration — Monitor active webhooks configured for real-time status updates and automated logistics notifications.
Account Metadata — Fetch detailed account attributes and contact information to maintain full context of your shipping operations.
Audit & History — Retrieve historical quotes and shipment details for better cost analysis and reporting.

The Freightview MCP Server exposes 12 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 Freightview to LangChain via MCP

Follow these steps to integrate the Freightview 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 12 tools from Freightview via MCP

Why Use LangChain with the Freightview MCP Server

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

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

Freightview + LangChain Use Cases

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

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

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

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

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

Freightview MCP Tools for LangChain (12)

These 12 tools become available when you connect Freightview to LangChain via MCP:

get_account_details

Get organization attributes

get_carrier_details

Get carrier info

get_quote_details

Get quote metadata

get_shipment_details

Get shipment metadata

list_address_book

List saved addresses

list_connected_carriers

List connected carriers

list_contacts

List logistics contacts

list_freight_quotes

List recent quotes

list_item_catalog

List commonly shipped items

list_shipments

List freight shipments

list_webhooks

List active webhooks

request_rates

Request freight rates

Example Prompts for Freightview in LangChain

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

"List my 5 most recent shipments and their current transit status."

"Request freight rates from 60601 to 90210 for a standard pallet."

"Show me all carriers currently connected to my account."

Troubleshooting Freightview MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Freightview + LangChain FAQ

Common questions about integrating Freightview 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.