Opendock MCP
The Opendock MCP Server is a middleware that connects AI assistants with the Opendock Neutron API, providing 69 tools for managing logistics operations such as warehouses, dock appointments, and carriers.
rating : 2.5 points
downloads : 6.0K
What is the Opendock MCP Server?
The Opendock MCP Server is a bridging tool that enables AI assistants (such as Claude, ChatGPT, etc.) to directly access and use the logistics management functions of the Opendock platform. Through the Model Context Protocol (MCP) standard, it offers 69 different tools covering core logistics operation functions such as warehouse management, dock scheduling, appointment arrangement, and carrier management.How to use the Opendock MCP Server?
It's very simple to use: 1) Install Node.js 18+; 2) Run directly via npx or install globally; 3) Configure Opendock account credentials; 4) Add the MCP server configuration in Claude Desktop or Claude Code. There's no need to clone the code repository or build the project.Applicable scenarios
Suitable for scenarios where logistics companies, warehouse managers, dispatchers, supply chain coordinators, etc. need to quickly query and manage logistics operation data. Particularly suitable for: - Real-time query of dock availability - Management of appointment and carrier information - Generation of operation reports and metrics - Automation of logistics scheduling tasks - Integration of AI assistants for intelligent decision supportMain features
Comprehensive logistics management tools
Provides 69 tools covering 11 categories, including warehouse management, dock scheduling, appointment management, carrier management, company management, audit logs, setting metadata, and operational indicator analysis.
Seamless AI integration
Seamlessly integrates with AI assistants such as Claude through the MCP protocol, allowing AI to directly access and operate logistics data, enabling logistics management with natural language interaction.
Automatic authentication
Supports automatic login with username/password and token refresh, and also supports pre - configured JWT tokens, simplifying the authentication process.
Multi - environment support
Supports switching between production and test environments. By default, it uses the production API, and can also be configured to use the staging environment for testing.
Data export function
Provides an Excel export function, which can export appointment indicators and yard data in spreadsheet format for further analysis and reporting.
Flexible deployment methods
Supports direct running via npx, global installation, or integration into Claude Desktop/Code without complex installation and configuration.
Advantages
Ready - to - use: Run directly via npx without installing dependencies or building
Comprehensive coverage: 69 tools cover the main functions of the Opendock Neutron API
AI - friendly: Specifically designed for AI assistants, providing natural language interaction capabilities
Automatic update: Using npx ensures that you always run the latest version
Simple configuration: Configured with environment variables, easy to integrate into existing workflows
Cross - platform: Based on Node.js, supports Windows, macOS, and Linux
Limitations
Requires an Opendock account: You must have a valid Opendock account and API access rights
Network - dependent: Requires a stable network connection to access the Opendock API
Node.js requirement: Requires a Node.js 18+ runtime environment
Limited to MCP - compatible applications: Can only be used with AI assistants that support the MCP protocol
Function - dependent on API: All functions are limited by the Opendock Neutron API
How to use
Environment preparation
Ensure that Node.js 18 or a higher version is installed on the system. You can run node --version in the terminal to check the version.
Get an Opendock account
You need a valid Opendock account and API access rights. If you don't have one, please register for the Opendock service first.
Configure environment variables
Set Opendock account credentials. It is recommended to use the username/password method, and the server will automatically handle login and token refresh.
Run the server
Use npx to run the server directly without installation.
Integrate into Claude Desktop
Add the MCP server configuration to the Claude Desktop configuration file.
Start using
Start Claude Desktop or Claude Code, and the AI assistant can now access Opendock functions.
Usage examples
Query dock availability
Logistics dispatchers need to quickly know which docks are available today to arrange truck loading and unloading.
Create a new appointment
Carriers need to make an appointment for dock time for tomorrow's cargo transportation.
Generate an operation report
Warehouse managers need to view the appointment volume and efficiency indicators for the past week.
Manage carrier information
Need to update the carrier's contact information or view its historical appointment records.
Optimize dock allocation
Need to optimize dock allocation based on cargo type and appointment time to improve efficiency.
Frequently Asked Questions
Do I need programming knowledge to use this server?
Is this server free?
Which AI assistants are supported?
How is data security ensured?
If the API is updated, will the server be automatically updated?
Can the configuration be shared within a team?
How to get help if I encounter problems?
Does it support custom tools or functions?
Related resources
Opendock MCP Server GitHub repository
Source code, issue tracking, and contribution guidelines
Opendock official website
The main website and service introduction of the Opendock platform
Neutron API documentation
Detailed technical documentation of the Opendock Neutron API
Model Context Protocol official website
Official documentation and specifications of the MCP protocol
MCP Inspector tool
An interactive tool for testing and debugging MCP servers
Node.js official website
Download and documentation of the Node.js runtime environment
npm package page
npm package information and version history of the Opendock MCP Server

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