Dev Workflow MCP Server
D

Dev Workflow MCP Server

The Development Workflow MCP Server helps developers follow a standardized workflow, ensuring code quality, testing, and documentation integrity.
2 points
7.7K

What is the Development Workflow MCP Server?

This is a Model Context Protocol (MCP) server that acts as your 'coding conscience', guiding you to follow a structured development process. It ensures that you complete all necessary steps before committing code: writing tests, passing verification, updating documentation, and finally committing and publishing.

How to use the Development Workflow MCP Server?

Integrate and use it through AI assistants (such as Claude Desktop, Windsurf, or Antigravity). After installation, the AI assistant will guide you to complete development tasks step by step, ensuring that no key steps are missed.

Use Cases

Suitable for all development projects that need to maintain code quality, especially team collaboration, open - source project maintenance, enterprise applications that require strict test coverage, and individual developers who want to establish good development habits.

Main Features

Structured Workflow
Enforce a 7 - step development process: 1) Define the task 2) Implement the function 3) Create tests 4) Run tests 5) Update documentation 6) Commit and push 7) Record the release
Test Enforcement Requirement
Prevent the submission of code that has not passed tests, ensure that all changes are covered by tests, or provide a reasonable reason to skip tests.
Documentation Reminder
Require relevant documentation (README, API documentation, inline comments, etc.) to be updated for each change to ensure knowledge transfer.
History Tracking
Record all completed tasks and workflow status for easy review and audit of the development process.
Multi - Client Support
Support multiple MCP clients such as Claude Desktop, Windsurf, and Antigravity, and configure independent user sessions.
Multi - Database Support
Support SQLite (default), MySQL, and PostgreSQL to adapt to different deployment environments.
Modular Architecture
The modular processor architecture was introduced in v1.8.0 to improve code maintainability and packaging efficiency.
Web Dashboard
Built - in lightweight Web interface for visual viewing of workflow history and statistical information.
Advantages
Improve code quality: Mandatory testing and documentation ensure code reliability.
Establish good habits: Guide developers to follow best practices.
Reduce errors: Prevent the submission of untested or undocumented code.
Team consistency: Ensure that all members follow the same workflow.
History traceability: Completely record the development process for easy problem troubleshooting.
Flexible deployment: Support local and cloud deployment to adapt to different environments.
Limitations
Learning curve: It takes time to adapt to the structured workflow.
Extra steps: More steps need to be completed compared to direct code submission.
Dependence on AI assistants: Need to integrate with MCP clients for use.
Configuration complexity: Multi - database and deployment options require certain technical knowledge.
Windows dependence: Installing from source code requires Python and Visual Studio build tools.

How to Use

Install the Server
Install the MCP server package in the project or install it from the source code.
Configure the AI Client
Configure the MCP server connection in Claude Desktop, Windsurf, or Antigravity.
Start a Development Task
Start a new task using the start_task tool through the AI assistant.
Follow the Workflow Steps
Complete in sequence: Implement the function → Create tests → Run tests → Update documentation → Commit and push → Record the release.
Complete the Task
Use the complete_task tool to end the current task and prepare to start the next one.

Usage Examples

Develop a New Feature: User Authentication
Add user authentication functionality to the login page.
Fix a Bug: Data Validation Error
Fix the logical error in user input data validation.
Execute the Full Workflow
Execute all steps of the full workflow at once.
View Development History
Review the tasks completed in the past week.

Frequently Asked Questions

What is the MCP server? What do I need to install to use it?
Will this server modify my code?
What if my project does not require a release (such as a documentation project)?
Can multiple developers use it in the same project?
How can I view my workflow history?
Can I force a commit when the test fails?
Which databases are supported? How to configure them?
What should I do if the Windows installation fails?

Related Resources

GitHub Repository
Source code, issue tracking, and contribution guidelines.
npm Package Page
Official npm package. View versions and download statistics.
Model Context Protocol Official Website
Official documentation and specifications of the MCP protocol.
GCP Deployment Guide
Detailed guide for deploying on Google Cloud Platform.
Antigravity Integration Guide
Steps for configuring and using the MCP server in Antigravity.
Web Dashboard Documentation
Instructions for using the built - in Web interface and API documentation.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "dev-workflow": {
      "command": "node",
      "cwd": "<PROJECT_ROOT>",
      "args": ["index.js"],
      "env": {
        "DEV_WORKFLOW_DB_TYPE": "postgres",
        "DEV_WORKFLOW_DB_URL": "postgres://USER:PASS@HOST:5432/devworkflow"
      }
    }
  }
}

{
  "mcpServers": {
    "dev-workflow": {
      "command": "node",
      "args": ["<PROJECT_ROOT>/index.js"]
    }
  }
}

{
  "mcpServers": {
    "dev-workflow": {
      "command": "node",
      "args": ["<PROJECT_ROOT>\\index.js"]
    }
  }
}

{
  "mcpServers": {
    "dev-workflow": {
      "command": "node",
      "cwd": "/Users/alex/code/dev-workflow-mcp-server",
      "args": ["index.js"],
      "env": {
        "DEV_WORKFLOW_DB_TYPE": "postgres",
        "DEV_WORKFLOW_DB_URL": "postgres://devworkflow:devworkflow_secure_password@34.50.121.142:5432/devworkflow"
      }
    }
  }
}

{
  "mcpServers": {
    "dev-workflow": {
      "command": "node",
      "args": ["<PROJECT_ROOT>\\index.js"],
      "env": {
        "DEV_WORKFLOW_USER_ID": "your_user_id"
      }
    }
  }
}

{
  "mcpServers": {
    "dev-workflow": {
      "command": "node",
      "args": ["path/to/server/index.js"],
      "env": {
        "DEV_WORKFLOW_USER_ID": "antigravity_user"
      }
    }
  }
}

{
  "mcpServers": {
    "dev-workflow": {
      "command": "node",
      "args": ["path/to/server/index.js"],
      "env": {
        "DEV_WORKFLOW_USER_ID": "windsurf_user"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
4.6K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
5.2K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
3.8K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.1K
4 points
P
Paperbanana
Python
7.3K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
5.9K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
6.6K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.7K
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
24.6K
4.3 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
35.5K
5 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
21.4K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
73.1K
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
65.6K
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#
31.2K
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
22.1K
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
48.0K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase