mcp-octane-server
v1.0.4
Published
An MCP Server for OpenText ALM Octane
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OpenText ALM Octane MCP Server
A Model Context Protocol (MCP) server for OpenText ALM Octane. This server enables LLMs (like Claude, GitHub Copilot) to seamlessly execute queries, fetch defects, create work items, and interact with the Octane API directly through text instructions.
🚀 Quick Start (NPX)
This package is published on the public NPM registry. The easiest way to run this MCP server is directly via npx (which will download and execute the latest version on the fly), without needing to clone the repository or install anything globally.
Simply provide your ALM Octane credentials as environment variables:
npx -y mcp-octane-server \
OCTANE_URL="https://almoctane-europe.saas.microfocus.com" \
OCTANE_SHARED_SPACE_ID="1001" \
OCTANE_WORKSPACE_ID="1002" \
OCTANE_CLIENT_ID="your-client-id" \
OCTANE_CLIENT_SECRET="your-client-secret"⚙️ Configuration Variables
The following environment variables are strictly required to start the server:
| Variable | Description |
|---|---|
| OCTANE_URL | Base Server URL of your Octane Instance. (e.g., https://almoctane-europe.saas.microfocus.com) |
| OCTANE_SHARED_SPACE_ID | Numeric or String Identifier for the Shared Space. |
| OCTANE_WORKSPACE_ID | Numeric or String Identifier for the Workspace within the Shared Space. |
| OCTANE_CLIENT_ID | Your API Access Client ID created in Octane settings. |
| OCTANE_CLIENT_SECRET | Your API Access Client Secret corresponding to the Client ID. |
🛠️ IDE & Client Setup
Claude Desktop
Add the following configuration to your mcpServers settings in the Claude configuration file claude_desktop_config.json:
{
"mcpServers": {
"octane": {
"command": "npx",
"args": ["-y", "mcp-octane-server"],
"env": {
"OCTANE_URL": "https://almoctane-europe.saas.microfocus.com",
"OCTANE_SHARED_SPACE_ID": "1001",
"OCTANE_WORKSPACE_ID": "1002",
"OCTANE_CLIENT_ID": "your-client-id",
"OCTANE_CLIENT_SECRET": "your-client-secret"
}
}
}
}Visual Studio Code (MCP Extension)
Create or append to the .vscode/settings.json file in your workspace:
{
"mcp.servers": {
"octane": {
"command": "npx",
"args": ["-y", "mcp-octane-server"],
"env": {
"OCTANE_URL": "https://almoctane-europe.saas.microfocus.com",
"OCTANE_SHARED_SPACE_ID": "1001",
"OCTANE_WORKSPACE_ID": "1002",
"OCTANE_CLIENT_ID": "your-client-id",
"OCTANE_CLIENT_SECRET": "your-client-secret"
}
}
}
}Note: Using npx -y mcp-octane-server in your IDE configuration is recommended as it ensures your client always fetches the latest version of the server from NPM upon startup. If you prefer to install it globally (npm i -g mcp-octane-server), you can replace the command array with simply mcp-octane.
📦 Global Installation
If you intend to run the server frequently from your terminal outside of an IDE, you can install it globally on your system:
npm install -g mcp-octane-serverAfter global installation, you can run the server using the compiled executable name directly from anywhere:
mcp-octane \
OCTANE_URL="https://almoctane-europe.saas.microfocus.com" \
OCTANE_SHARED_SPACE_ID="1001" \
OCTANE_WORKSPACE_ID="1002" \
OCTANE_CLIENT_ID="your-client-id" \
OCTANE_CLIENT_SECRET="your-client-secret"�🐳 Docker Usage
You can also run the server via a pre-built Docker image. To run the server ensuring proper network resolution and passing standard input/output:
docker run -i --rm \
-e OCTANE_URL="https://almoctane-europe.saas.microfocus.com" \
-e OCTANE_SHARED_SPACE_ID="1001" \
-e OCTANE_WORKSPACE_ID="1002" \
-e OCTANE_CLIENT_ID="your-client-id" \
-e OCTANE_CLIENT_SECRET="your-client-secret" \
mcp-octane-server🧠 Available Tools & Prompts
- Tools:
search_all,get_defect_details,create_defect,update_defect,create_story,update_story_status,get_manual_test,get_suite_runs,get_run_history,get_my_work. - Prompts:
triage_assistance(Analyzes defect data using the LLM and suggests 3 root causes from provided context).
🏗️ Local Development
- Clone this repository.
- Run
npm install. - Create a
.envfile referencing.env.example. - Run
npm run buildto compile the app. - Use
npm run startto spin up the local build, or test live usingnpm run dev.
