ATENA Decision Intelligence

io.github.shrek9999v1.1.4Updated Oct 7, 2026

Decision-control specialist for AI fitness and human-performance agents.

VerifiedStreamable HTTPWeb executableAI & ML

Overview

AI-generated overview

A remote MCP endpoint that provides decision-control support for AI fitness and human-performance agents.

What it does
ATENA Decision Intelligence is a remote MCP server reached over streamable HTTP at a hosted endpoint. Its stated purpose is decision control for AI fitness and human-performance agents. No tools, resources, or prompts are listed in the available material, so the concrete capabilities an assistant would gain are not documented here.
When to use it
Consider it only if you are building or running an AI fitness or human-performance agent and want a hosted decision-control component. Because no tool list is published, verify what it actually exposes before relying on it.
Requirements
A remote MCP client that supports streamable HTTP, plus network access to the hosted endpoint. No packages, environment variables, headers, or authentication are declared.
Before you install
The endpoint is third-party hosted and no authentication is declared, so anything sent to it may be unauthenticated and handled outside your control. No tool list is published, so what data it receives or changes cannot be confirmed from the available material.

Installation

In SourceWeft

  1. Open ATENA Decision Intelligence in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "atena": {
      "type": "http",
      "url": "https://atena-mcp.onrender.com/mcp"
    }
  }
}

README

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Tools

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Version history

1
  1. v1.1.4LatestOct 7, 2026