# athena-protocol [Health: Active]

**Category:** 🤖 Coding Agents  
**Repository:** https://github.com/n0zer0d4y/athena-protocol  
**GitHub Stars:** 7  
**npm Downloads (last month):** 2812  
**Views:** 5  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/athena-protocol

## Description
AI tech lead for coding agents with validation and impact analysis

## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `npx` (confidence: high):

```json
"mcpServers": {
  "athena-protocol": {
    "command": "npx",
    "args": ["-y","usage"],
    "env": {
      "DEFAULT_LLM_PROVIDER": "",
      "PROVIDER_SELECTION_PRIORITY": ""
    }
  }
}
```

**Requires environment variables:** `DEFAULT_LLM_PROVIDER`, `PROVIDER_SELECTION_PRIORITY` — the values above are empty placeholders; fill in real credentials before running (see the repository for what each one is for).

## Documentation

## What athena-protocol MCP server does

The athena-protocol MCP server provides pre-change analysis for coding agents. Its purpose is to examine an agent’s proposed approach against the available codebase and identify issues before implementation.

The server is intended for workflows where an agent should pause before modifying files. It can help organize a review of a planned change, surface relationships between affected files, and keep validation history within a session.

## How it works

Analysis is backed by a configurable LLM provider. The server supports 14 listed providers, including cloud services, hosted model platforms, and Ollama for local or self-hosted models. Providers are selected through environment variables, with a required priority order for fallback behavior. Configuration is checked when the server starts, and invalid settings cause startup failure rather than using hidden defaults.

File analysis supports full-file, head, tail, and range modes. A precision-targeted mode accepts `analysisTargets`, allowing the client to focus analysis on selected parts of the codebase. The project reports lower token use and faster processing for this mode, but those figures are project claims rather than guarantees for every repository or model. Concurrent file operations are also included for analysis workflows.

## Setup and configuration

Install with Node.js 18 or newer and npm or yarn, then run `npm install` followed by `npm run build`. Configuration can come from a local `.env` file or from environment variables supplied by an MCP client. For local use, copy `.env.example` to `.env`; for npm or npx use, the README recommends passing variables in the client configuration.

Set `DEFAULT_LLM_PROVIDER`, provide the selected provider’s API key, and define the model and relevant parameters. `PROVIDER_SELECTION_PRIORITY` is required and must list providers in priority order. The repository provides a configuration validation command, `npm run validate-config`, and a test command, `npm test`.

An MCP client can launch the built server through stdio with Node, or run the package through `npx @n0zer0d4y/athena-protocol`. API keys should not be committed to version control.

## Tools and capabilities

The documented capability areas are:

- Thinking validation for proposed reasoning
- Impact analysis for planned changes
- Assumption checking against the codebase
- Dependency mapping
- Thinking optimization
- Precision-targeted file analysis with `analysisTargets`
- Full, head, tail, and range file-reading modes
- Session-based validation history and memory management
- Configuration validation and health monitoring

## Limitations and notes

The athena-protocol MCP server requires explicit provider configuration and does not use hardcoded provider defaults. Each configured provider needs complete settings, including its API key, model, and parameters.

The server handles credentials for multiple LLM providers, so its `.env` file and MCP environment configuration need appropriate protection.

_Full upstream README: https://allmcps.com/mcp/athena-protocol/readme_