mcp-octane-server

mcp-octane-server

Enables LLMs to interact with OpenText ALM Octane for querying, creating, and updating defects, stories, tests, and work items through natural language.

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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-server

After 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

  1. Clone this repository.
  2. Run npm install.
  3. Create a .env file referencing .env.example.
  4. Run npm run build to compile the app.
  5. Use npm run start to spin up the local build, or test live using npm run dev.

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