Deployhq MCP Server
D

Deployhq MCP Server

This project uses GitHub Actions to implement continuous integration and automated npm publishing, including a complete CI/CD process such as code inspection, testing, building, and version publishing.
2.5 points
7.1K

What is the DeployHQ MCP Server?

The DeployHQ MCP Server is a bridge connecting AI assistants to the DeployHQ deployment platform. It implements the Model Context Protocol (MCP) standard, enabling AI assistants (such as Claude Desktop) to securely access and manage your DeployHQ deployment projects, including viewing deployment status, triggering new deployments, managing environments, and other operations.

How to use the DeployHQ MCP Server?

Using the DeployHQ MCP Server requires three steps: 1) Install the server package, 2) Configure the AI assistant (such as Claude Desktop) for connection, 3) Interact with the AI assistant through natural language to manage deployments. The server acts as an intermediate layer to securely handle communication between the AI assistant and the DeployHQ API.

Use cases

The DeployHQ MCP Server is particularly suitable for scenarios where development teams want to automate the deployment process, need to quickly query deployment status, or wish to manage deployments through natural language instructions. It allows non - technical team members to easily understand the deployment progress and reduces the time spent by developers.

Main features

Deployment management
View deployment status, trigger new deployments, cancel ongoing deployments, view deployment history records
Project information query
Get project details, environment configuration, server information, deployment configuration, etc.
Environment management
View and manage different deployment environments (development, testing, production, etc.)
Secure communication
Securely connect to DeployHQ through an API key to protect your deployment credentials
MCP protocol compatibility
Fully compatible with the Model Context Protocol standard and can be used with any MCP client
Advantages
Manage deployments through an AI assistant without manually logging in to the DeployHQ console
Reduce context switching and directly query deployment status during the development process
Non - technical team members can understand the deployment progress through natural language
The standardized MCP protocol ensures compatibility with multiple AI assistants
Automate the deployment process and improve team efficiency
Limitations
Requires configuring API keys and server settings, which has a certain technical threshold
Depends on the API availability and rate limits of the DeployHQ platform
Requires the AI assistant to support the MCP protocol (such as Claude Desktop)
Complex deployment configurations may still need to be completed through the web interface

How to use

Install the MCP server
Globally install the DeployHQ MCP Server package via npm
Get the DeployHQ API key
Log in to the DeployHQ console and generate an API key in the account settings
Configure the AI assistant
Add server configuration to MCP - supported clients such as Claude Desktop
Start using
Start the AI assistant and manage deployments through natural language instructions

Usage examples

Quick deployment to the test environment
After development is completed, the latest code needs to be deployed to the test environment for verification
Check deployment status
The product manager wants to know if a certain feature has been deployed to the production environment
Troubleshoot deployment issues
After a deployment fails, error logs and detailed information need to be viewed

Frequently Asked Questions

What kind of AI assistant do I need to use this MCP server?
Is the API key secure? Will it be misused by the AI assistant?
Can I manage multiple DeployHQ accounts?
Can the MCP server automatically retry when a deployment fails?
Is this MCP server official?

Related resources

DeployHQ official documentation
Complete API documentation and user guide for the DeployHQ platform
Model Context Protocol specification
Official specification and implementation guide for the MCP protocol
GitHub repository
Project source code, issue tracking, and contribution guide
npm package page
View the latest version, download statistics, and version history
Claude Desktop MCP configuration guide
Detailed tutorial on how to configure the MCP server in Claude Desktop

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.4K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.2K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
5.0K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.3K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
6.1K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.1K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
6.6K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
7.2K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
21.2K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
17.6K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
30.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
61.7K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
56.6K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
26.5K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
18.5K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
41.9K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase