mcp
Model Context Protocol server wrapping Trento API
How to use
The MCP (Model Context Protocol) server is a powerful tool that wraps the Trento API, providing developers with a streamlined way to manage and interact with model context data. By leveraging this server, you can easily send and receive context model information, enabling effective monitoring and management of your application infrastructure. This server is particularly useful for those working with distributed systems, allowing for better synchronization and context sharing across different services.
Once connected to the MCP server, you can interact with it by sending HTTP requests to the various endpoints defined in the Trento API. This server allows you to perform actions such as retrieving model context data, updating configurations, and subscribing to context changes. For optimal use, focus on querying specific endpoints that align with your application needs, ensuring that you handle responses and potential errors effectively.
How to install
Prerequisites
Before installing the MCP server, ensure you have the following prerequisites:
- Node.js (version 14 or later)
- npm (Node Package Manager)
Option A: Quick Start with npx
You can quickly start using the MCP server with the following command:
npx -y @trento-project/mcp-server
Option B: Global Install Alternative
If you prefer a global installation, use the following command:
npm install -g @trento-project/mcp-server
After installation, you can start the server by running:
mcp-server
Additional notes
When configuring the MCP server, be sure to set any necessary environment variables such as TRENTO_API_URL to point to your Trento API endpoint. A common gotcha is neglecting to define these variables, which can lead to connectivity issues. Additionally, consider using a configuration file to manage settings more efficiently.
Related MCP Servers
trpc-agent-go
trpc-agent-go is a powerful Go framework for building intelligent agent systems using large language models (LLMs) and tools.
station
Station is our open-source runtime that lets teams deploy agents on their own infrastructure with full control.
tiger-cli
Tiger CLI is the command-line interface for Tiger Cloud. It includes an MCP server for helping coding agents write production-level Postgres code.
gopls
MCP server for golang projects development: Expand AI Code Agent ability boundary to have a semantic understanding and determinisic information for golang projects.
kubernetes
A Model Context Protocol (MCP) server for the Kubernetes API.
gcp-cost
💰 An MCP server that enables AI assistants to estimate Google Cloud costs, powered by Cloud Billing Catalog API and built with Genkit for Go