# Tentra

> Use this tool when you need to generate interactive architecture diagrams and production-ready code scaffolds from natural language descriptions, or to detect drift between designed and live systems. Tentra solves problems of inconsistent system design and implementation by providing a synchronized view of architecture and code. It takes in natural language inputs and outputs interactive diagrams, code scaffolds, and accuracy scores, making it ideal for use cases involving cloud-based system design and development with popular frameworks like Java Spring Boot and Python FastAPI.

Canonical page: https://skillsregistry.net/skills/tentra  
JSON: https://api.skillsregistry.net/v1/skills/tentra

## Description

Tentra lets AI agents describe systems in natural language and generate interactive architecture diagrams with 167 cloud components, then produce production-ready code scaffolds for 14 frameworks including Java Spring Boot, Python FastAPI, Go, Rust, and Node.js. The sync_architecture tool compares saved diagrams against live codebases and returns a 0-100 accuracy score with a structured diff for drift detection. Integrates with Cursor, Claude Code, Codex, and Windsurf via MCP.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tentra)
- **Repository:** <https://github.com/rdanieli/tentra-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tentra"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tentra` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tentra/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt