Freightview MCP Server for Cursor 12 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"freightview": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Cursor's Agent mode turns Freightview into an in-editor superpower. Ask Cursor to generate code using live data from Freightview and it fetches, processes, and writes. all in a single agentic loop. 12 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the Freightview MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Freightview
Open Agent mode in chat and ask: "Using Freightview, help me...". 12 tools available
Why Use Cursor with the Freightview MCP Server
Cursor AI Code Editor provides unique advantages when paired with Freightview through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Freightview + Cursor Use Cases
Practical scenarios where Cursor combined with the Freightview MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Freightview MCP Tools for Cursor (12)
These 12 tools become available when you connect Freightview to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Freightview to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Freightview + Cursor FAQ
Common questions about integrating Freightview MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Freightview with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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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 Freightview to Cursor
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.