mcp-server

trento-project/mcp-server

3.2

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The Trento MCP Server is a robust and scalable server designed to facilitate model context protocol operations, providing seamless integration and management of model context data.

// Copyright 2025 SUSE LLC // SPDX-License-Identifier: Apache-2.0

:badge-url: https://insiders.vscode.dev/redirect/mcp/install?name=trento&config=%7B%22type%22%3A%20%22http%22%2C%22url%22%3A%20%22http%3A%2F%2Flocalhost%3A5000%2Fmcp%22%7D :badge-img: https://img.shields.io/badge/VS_Code-Install_Server-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white

== Trento MCP Server link:{badge-url}[image:{badge-img}[Install in VS Code]]

This project is still in very early stages of development and may not be fully functional or stable. For now, it serves as a proof of concept and a starting point for building MCP servers that integrate with the Trento API.

The Trento MCP Server project introduces a https://modelcontextprotocol.io/introduction[Model Context Protocol] (MCP) server implementation, enabling Trento to be used and configured as a tool for AI. Instead of interacting with the Trento server solely through the web UI, you can now interact with it directly from an AI, a chat interface, or an agent.

=== Features

  • OpenAPI-Driven Tool Generation: ** The server uses the OpenAPI specification in api/openapi.json to automatically generate tools and endpoints, ensuring strong alignment between the API contract and implementation.
  • Security: ** Acts as a resource server, enforcing access control and protecting resources. ** Delegates authorization to an external authorization server, following best practices for secure, standards-based authentication and authorization flows. ** Once the authorization request is successful, the server creates a session in the Trento API using a hardcoded username and password. This session is then used to interact with the Trento API on behalf of the authenticated user.
  • Container-Ready: ** Includes a Dockerfile for easy containerization and deployment.

=== Quick Start

. git clone https://github.com/trento-project/mcp-server.git && cd mcp-server . make run . Install https://code.visualstudio.com/download[VS Code] and the link:vscode:extension/GitHub.copilot[Copilot extension] (see link:https://github.com/trento-project/mcp-server/blob/main/docs/README.adoc[other alternatives here]) . Install the Trento MCP Server by {badge-url}[clicking here]

=== Getting Started

Go to the link:https://github.com/trento-project/mcp-server/blob/main/docs/README.adoc[documentation] for detailed information on how to set up, configure, and use the Trento MCP Server. We recommend starting with the link:https://github.com/trento-project/mcp-server/blob/main/docs/integration-vscode.adoc[VS Code integration guide] to learn how to use it along with Visual Studio Code. Alternatively, you can refer to the link:https://github.com/trento-project/mcp-server/blob/main/docs/integration-suse-ai.adoc[SUSE AI integration guide] to understand how to deploy and use this project with SUSE AI.

=== License

See the https://github.com/trento-project/mcp-server/blob/main/LICENSE[LICENSE] notice.