TARS

🥈Silver

TARS is a centralized hub for discovering, creating, editing, and managing Claude Code resources. It provides a visual interface for managing skills, agents, commands, hooks, MCP servers, and plugins across multiple projects with safe apply/rollback operations and profile-based configuration sharing.

3430Updated 2w ago

Intermediate30min to implementautomation

Saves ~45 min per use

Quick InstallView Source

git clone https://github.com/inceptyon-labs/TARS.git

Works with:

Claude

Overview

About This Skill

How to Use

["Open TARS in your browser (typically at http://localhost:3000 or your configured domain).","Navigate to the 'Resources' tab and select the resource type you want to manage (MCP servers, skills, agents, etc.).","Click 'Create New' or select an existing resource to edit. Use the visual editor to configure settings or upload a JSON configuration file.","Apply changes using the 'Apply' button. TARS will show a preview of changes and require confirmation before proceeding.","Monitor the operation status in the 'Activity Log'. Use 'Rollback' if issues occur, or 'Validate' to test configurations before applying."]

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/inceptyon-labs/TARS

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Use TARS to [ACTION] the following Claude Code resources: [RESOURCE_TYPE] in [PROJECT_NAME]. [SPECIFIC_DETAILS]. For example: 'Use TARS to create a new MCP server for handling Slack notifications in the marketing-automation project with OAuth2 authentication and a rate limit of 100 requests per minute.'

Example Output

### TARS Action Summary for Project: `customer-support-bot`

**Action Performed:** Created a new MCP server for handling Zendesk ticket escalations
**Resource Type:** MCP Server
**Profile Applied:** `production-high-priority`

#### Configuration Applied:
```json
{
  "name": "zendesk-escalation-mcp",
  "version": "1.2.0",
  "description": "Handles automatic ticket escalation based on sentiment analysis",
  "auth": {
    "type": "api_key",
    "source": "zendesk_env"
  },
  "rate_limit": {
    "requests_per_minute": 60,
    "burst_capacity": 10
  },
  "hooks": [
    {
      "event": "ticket_created",
      "action": "analyze_sentiment",
      "threshold": -0.5
    }
  ]
}
```

#### Changes Made:
1. Added new MCP server to `./mcp-servers/` directory
2. Created environment file `.env.zendesk` with encrypted credentials
3. Registered the server in `tars.config.json` under `mcp_servers`
4. Applied profile `production-high-priority` which:
   - Sets log level to INFO
   - Enables request validation
   - Configures auto-restart on failure

#### Verification Results:
- ✅ Server started successfully in test environment
- ✅ Authentication verified with Zendesk API
- ✅ Hook triggered on test ticket (ID: ZD-12345)
- ⚠️ Rate limit warning: 1 request over limit detected (increased to 65/min)

**Next Steps:**
1. Review the rate limit adjustment in staging
2. Deploy to production using `tars apply --profile production-high-priority`
3. Monitor logs with `tars logs --server zendesk-escalation-mcp`

**Rollback Command:** `tars rollback zendesk-escalation-mcp 1.1.0`

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*Generated by TARS v2.4.1 | Last updated: 2024-05-15 14:32:11 UTC*