HOPEX MCP Server
hopex.mcp.server
| Id | Name | Version | Publish date | Download |
|---|---|---|---|---|
| c332dedb42a0472cab4c2cee53ccf7c7 | HOPEX MCP Server (Beta) | 62.1.0+10 | 11/28/2025 |
The MCP (Model Context Protocol) server provides a standardized protocol for exchanging model context data from HOPEX with AI systems. It is designed to work seamlessly with leading large language models (LLMs), including OpenAI's GPT, Anthropic's Claude, Meta's LLaMA, Mistral, and Google's Gemini. By leveraging MCP, these models can interpret enterprise architecture data, generate contextual insights, and support intelligent decision-making across business and IT domains. The protocol ensures interoperability, scalability, and secure communication between HOPEX and AI-powered applications.
This MCP (Model Context Protocol) connector exposes the HOPEX repository through an AI-native interface that can be queried by AI agents and assistants. The connector follows the MCP specification framework, allowing AI models to interact naturally with HOPEX data including applications, business processes, capabilities, and their relationships. With this connector, AI agents can read and analyze enterprise architecture data from the HOPEX repository in real-time.
What Hopex Does:
What Hopex Does not:
Endpoint URL Format: https://<your-instance-name>/mcp
Replace <your-instance-name> with your actual HOPEX instance domain.
Authentication: API key-based authentication required. Configure your AI agent with:
AI Model Parameters: For optimal performance with Copilot and similar AI assistants, configure model parameters according to recommended settings (temperature, token limits, etc.)
"<name-of-your-server-it-can-be-what-you-want>" : {
"command": "npx",
"args": [
"mcp-remote",
"<your-instance-name>/mcp",
"--header",
"x-api-key:<your-api-key>",
"--header",
"x-schema:<your-specific-schema>"
]
}
"<name-of-your-server-it-can-be-what-you-want>": {
"type": "http",
"url": "<your-instance-name>/mcp",
"headers": {
"x-api-key": "<your-api-key>",
"x-schema": "<your-specific-schema>"
}
}
If you use the MCP server and the AI client locally on your computer, the connection may not work. This is due to the fact that AI clients use nodeJs to interact with the MCP server and nodeJs use its own certificate store. To make it work you will need to define an environment variable called "NODE_OPTIONS" and set its value to "--use-system-ca" (it indicates to nodeJs to use the windows certification store instead of its own store).
NA