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redmine-redcase-mcp-ai-agent

MCP server for AI-powered Redcase testcase generation and Redmine issue creation.

Install / Use

claude mcp add waghdurgesh -- npx -y github:waghdurgesh/redmine-redcase-mcp-ai-agent

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

74/100

Category

Automation

Supported Platforms

Claude Code
Claude Desktop

Our assessment of redmine-redcase-mcp-ai-agent

redmine-redcase-mcp-ai-agent scores 74/100 on our quality scale, 1449th of 1,753 Automation skills we index.

Its MCP Server is 7.1 KB long, well organised into 43 sections with 10 code examples: a thorough specification that gives an agent plenty to work with.

It has 3 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
29/30
Structure
20/20
Description
12/15
Adoption
3/20
Freshness
11/15

Maintenance, license and trust

  • The repository was last updated about 3 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
  • Our last check on 2026-09-18 found the source still online.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 85/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

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Frequently asked questions

How do I install redmine-redcase-mcp-ai-agent?
Run claude mcp add waghdurgesh -- npx -y github:waghdurgesh/redmine-redcase-mcp-ai-agent. The install tabs above show the steps for each supported agent.
Which AI agents does redmine-redcase-mcp-ai-agent work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is redmine-redcase-mcp-ai-agent safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 85/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is redmine-redcase-mcp-ai-agent still maintained?
The repository was last updated about 3 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.

Redmine+Redcase MCP Server & AI Agent

Python License MCP

<p align="left"> <img src="https://komarev.com/ghpvc/?username=waghdurgesh&label=Views&color=0e75b6&style=flat" alt="Repository Views" /> </p>

AI-Powered Redcase Testcase Automation using Continue + MCP + Python Agent

Redmine+Redcase MCP Server bridges the gap between requirement analysis and test management by allowing AI assistants to generate high-quality QA test cases and automatically create them inside Redmine + Redcase.

<img width="1536" height="1024" alt="Redcase Ai TestCase Gen Title Image" src="https://github.com/user-attachments/assets/98d4fe95-a3ea-42c2-a650-fd8232f86cff" />

Overview

Devlopers & QA teams often spend significant time manually:

  • Reading requirements
  • Analyzing bug reports
  • Reviewing feature discussions
  • Writing test cases
  • Creating Redcase entries in Redmine

Redcase MCP automates this workflow.

Using MCP-enabled AI assistants (such as Continue), users can:

  1. Provide code, requirements, user stories, bugs, or specifications
  2. Generate structured QA test cases
  3. Review and refine them
  4. Create Redcase test cases directly in Redmine

Problem Statement

Traditional testcase creation typically involves:

Requirement
    ↓
Manual Analysis
    ↓
Manual Testcase Writing
    ↓
Manual Redmine Entry
    ↓
Execution

This process is:

  • Time-consuming
  • Repetitive
  • Error-prone
  • Difficult to scale

Redcase MCP streamlines the process:

Requirement
    ↓
AI Analysis
    ↓
AI Testcase Generation
    ↓
User Review
    ↓
Automatic Redcase Creation

What This Project Does

This MCP server:

  • Authenticates with Redmine
  • Creates Redcase test cases
  • Supports bulk testcase creation
  • Converts AI-generated test scenarios into Redcase-compatible payloads
  • Integrates with Continue and other MCP clients
<img width="1536" height="1024" alt="redmine-redcase-mcp-ai-agent" src="https://github.com/user-attachments/assets/e98ae7bc-ba3f-4940-bee4-df82c29d8819" />

Key Features

AI-Powered Test Case Generation

Generate test cases from:

  • User stories
  • Requirements
  • Bug reports
  • Feature requests
  • Technical specifications
  • Workflow descriptions
  • API documentation

Redmine + Redcase Integration

Automatically creates:

  • Test case issues
  • Preconditions
  • Test steps
  • Expected results
  • Priorities

Bulk Creation

Create multiple test cases in a single request.


MCP Compatible

Built using:

  • Model Context Protocol (MCP)

Compatible with:

  • Continue
  • MCP-enabled AI clients
  • Custom MCP integrations

Enterprise QA Focus

Generates scenarios covering:

  • Business workflows
  • Security
  • Permissions
  • Integrations
  • Data validation
  • Regression testing
  • Workflow transitions
  • Error handling

Architecture

+---------------------+
|     User Prompt     |
+----------+----------+
           |
           v
+---------------------+
| AI Test Generation  |
+----------+----------+
           |
           v
+---------------------+
| Continue Prompt     |
+----------+----------+
           |
           v
+---------------------+
|    MCP Tool Call    |
+----------+----------+
           |
           v
+---------------------+
|   Redcase MCP       |
+----------+----------+
           |
           v
+---------------------+
| Redmine + Redcase   |
+---------------------+

Technology Stack

Backend

  • Python 3.10+
  • Requests
  • BeautifulSoup4
  • python-dotenv

MCP

  • FastMCP
  • Model Context Protocol

Test Management

  • Redmine
  • Redcase

AI Integration

  • Continue
  • MCP-compatible AI clients

Repository Structure

redcase-mcp/
│
├── README.md
├── LICENSE
├── requirements.txt
├── .gitignore
├── .env.example
│
├── src/
│   ├── mcp_server.py
│   └── redcase_client.py
│
├── config/
│   └── redcase_config.example.json
│
├── examples/
│   └── testcase_payload.json
│
├── continue/
│   ├── mcpServers/
│   │   └── redcase-mcp.yaml
│   └── prompts/
│       └── enterprise-testcase-generator.yaml
│
├── docs/
│   └── setup.md
│
└── certs/
    └── README.md

Workflow

Step 1

Provide a requirement:

Implement user login functionality.

Users should:
- Enter username
- Enter password
- Click Login
- Access dashboard on success

Step 2

AI generates test cases:

Testcase 1 - Successful Login

Testcase 2 - Invalid Password

Testcase 3 - Empty Username

Testcase 4 - Session Timeout

Step 3

Review and update generated test cases.

Step 4

Confirm creation.

Step 5

MCP server creates Redcase test cases automatically.


Example MCP Payload

{
  "testcases": [
    {
      "title": "Successful Login",
      "description": "Verify successful login",

      "priority_id": 3,

      "preconditions": [
        "User account exists"
      ],

      "steps": [
        "Open login page",
        "Enter valid username",
        "Enter valid password",
        "Click Login"
      ],

      "expected_results": [
        "User is authenticated",
        "Dashboard is displayed"
      ]
    }
  ]
}

Benefits

Faster QA Documentation

Reduce manual testcase creation effort.


Improved Coverage

AI can identify:

  • Happy paths
  • Negative scenarios
  • Permission checks
  • Integration risks
  • Regression scenarios

Standardized Test Cases

Enforces consistent structure for:

  • Preconditions
  • Steps
  • Expected Results

Reduced Human Error

Avoid manual copy/paste and testcase entry mistakes.


Better Traceability

Requirements can be quickly converted into executable test cases.


Typical Use Cases

QA Engineers

Generate test cases from requirements.


Test Leads

Improve regression coverage.


Business Analysts

Convert business requirements into QA scenarios.


Product Owners

Validate acceptance criteria.


Development Teams

Generate validation scenarios during implementation.


Security

Credentials are stored using environment variables.

Example:

REDMINE_USERNAME=myuser
REDMINE_PASSWORD=mypassword

Never commit:

.env
config/redcase_config.json
certs/

Installation

See:

docs/setup.md

for a complete step-by-step installation guide.


Limitations

Current version:

  • Supports username/password authentication
  • Requires Redcase plugin
  • Requires Redmine access
  • Focused on testcase creation

Future enhancements may include:

  • API token authentication
  • Docker deployment
  • Automated test suite mapping
  • Advanced validation
  • CI/CD integration

Contributing

Contributions are welcome.

Potential areas:

  • Additional authentication methods
  • Better configuration management
  • Automated testing
  • Docker support
  • Additional MCP tools

License

MIT License


Acknowledgements

Built using:

  • Redmine
  • Redcase
  • FastMCP
  • Continue
  • Python

Special thanks to the open-source communities behind these projects.

Related Skills

View on GitHub
GitHub Stars3
CategoryAutomation
Updated3mo ago
Forks0

Languages

Python

Trust signals

85/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

2 low1 info