performancetesting/opentext_cpe_mcp_server repository overview

⁠MCP Server Docker Image for OpenText Core Performance Engineering

This Docker image contains the MCP (Model Context Protocol) server for OpenText Core Performance Engineering.

For more information: https://admhelp.microfocus.com/lrc/en/latest/index.html#/search?q=mcp&lang=en⁠

⁠1. Pull the image

Use the following command to download the MCP server image:

docker pull performancetesting/opentext_cpe_mcp_server:26.1

⁠2. Attach the MCP server to your MCP client

Each MCP client (such as Claude Desktop, Cursor, or others) has its own configuration method.

Below is an example configuration for Claude Desktop:

{
  "mcpServers": {
    "LRC-MCP-SRV": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--env", "CORE_PERFORMANCE_ENGINEERING_URL=https://loadrunner-cloud.saas.microfocus.com",
        "--env", "CORE_PERFORMANCE_ENGINEERING_TENANTID=354274891",
        "--env", "CORE_PERFORMANCE_ENGINEERING_CLIENT_ID=YYYYYYYYYYYYYYYYYYYYYYYY",
        "--env", "CORE_PERFORMANCE_ENGINEERING_CLIENT_SECRET=XXXXXXXXXXXXX",
        "performancetesting/opentext_cpe_mcp_server:26.1"
      ]
    }
  }
}

Note: The configuration file is typically located under File > Settings < Developer.

⁠Environment variables

Set these environment variables within the "-env" fields in the JSON configuration above.

⁠3. Use the MCP server

1. Close your LLM client after applying the configuration.

   • For Claude Desktop: File → Exit.

2. Reopen the LLM client to load the new configuration.

3. Verify the MCP server in the client:

   • Open Search and Tools (or your client’s MCP servers list).
   • Confirm that LRC-MCP-SRV appears in the list.

4. Interact with OpenText Core Performance Engineering:

   • You can now chat with your LLM client to query OpenText Core Performance Engineering or execute supported actions.
   • To see the list of supported tools, click the arrow in the client or visit the Help Center.

5. Verify the container is running on your host:

docker ps

⁠4. Troubleshooting

If you encounter configuration errors, verify that:

• Your JSON syntax is valid (no extra commas or missing brackets).
• The environment variables are correctly set and correspond to your tenant.
• Your LLM client has been restarted after editing the configuration.