REA
Reverse engineer anything from your terminal or agent with one CLI and MCP server.
Description from the maker (original English)
Laviya AI Orchestration MCP runtime for IDE and agent integrations.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
LAVIYA_API_KEY, LAVIYA_BASE_URL, LAVIYA_AGENT_UID, LAVIYA_LOG_LEVEL, LAVIYA_GLOBAL_CONFIG_PATHValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"laviya-agent-skills": {
"command": "npx",
"args": [
"-y",
"laviya-mcp-server"
],
"env": {
"LAVIYA_API_KEY": "your-value",
"LAVIYA_BASE_URL": "your-value",
"LAVIYA_AGENT_UID": "your-value",
"LAVIYA_LOG_LEVEL": "your-value",
"LAVIYA_GLOBAL_CONFIG_PATH": "your-value"
}
}
}
}Run this in your terminal
claude mcp add laviya-agent-skills --env LAVIYA_API_KEY=your-value --env LAVIYA_BASE_URL=your-value --env LAVIYA_AGENT_UID=your-value --env LAVIYA_LOG_LEVEL=your-value --env LAVIYA_GLOBAL_CONFIG_PATH=your-value -- npx -y laviya-mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"laviya-agent-skills": {
"command": "npx",
"args": [
"-y",
"laviya-mcp-server"
],
"env": {
"LAVIYA_API_KEY": "your-value",
"LAVIYA_BASE_URL": "your-value",
"LAVIYA_AGENT_UID": "your-value",
"LAVIYA_LOG_LEVEL": "your-value",
"LAVIYA_GLOBAL_CONFIG_PATH": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"laviya-agent-skills": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"laviya-mcp-server"
],
"env": {
"LAVIYA_API_KEY": "your-value",
"LAVIYA_BASE_URL": "your-value",
"LAVIYA_AGENT_UID": "your-value",
"LAVIYA_LOG_LEVEL": "your-value",
"LAVIYA_GLOBAL_CONFIG_PATH": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
LAVIYA_BASE_URL envLAVIYA_AGENT_UID envLAVIYA_LOG_LEVEL envLAVIYA_GLOBAL_CONFIG_PATH envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 10, 2026
The registry name was verified with the GitHub account kartegagithub, which owns the repo
Code last changed today
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 2 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: LAVIYA_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed today, and the latest version (0.1.32) reached the registry 4 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: REA, Netdata, Front-End Checklist
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Reverse engineer anything from your terminal or agent with one CLI and MCP server.
Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Review frontend code and live pages against 386 quality-gated web development rules.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Laviya Agent Skills is a repository of reusable orchestration assets for IDE and agent integrations. It provides a production-oriented MCP runtime, shared orchestration prompt assets, and client-specific artifacts for tools such as Cursor and Claude.
laviya-agent-skills: reusable prompt, rule, and skill asset bundle for Node-based toolinglaviya-mcp-server: stdio MCP runtime published from mcp/core/: shared orchestration prompt assetsmcp/: TypeScript MCP runtime scaffold (laviya-mcp-server)cursor/: Cursor rule artifactsclaude/: Claude skill artifacts (SKILL.md for orchestration, laviya-delivery-cycle/SKILL.md for the user-driven delivery cycle, laviya-prd-intake/SKILL.md for turning a PRD into Laviya work)docs/: setup, npm publishing, and end-user onboarding guides (docs/examples/: an example PRD)laviya-agent-skills/
core/ mcp/ src/ examples/ README.md cursor/ claude/ docs/ Setup.md MCPServerPublish.md InstallationAndUsage.md
cd mcp
npm install npm run typecheck npm run build npm run dev
Required environment variable:
LAVIYA_API_KEYClaude Code loads a skill only from a skills folder, one folder per skill named after the skill, with the file named SKILL.md:
| Skill | Source file in this repository | Install to (personal, all projects) | Or (one project only) |
|---|---|---|---|
laviya-orchestrator (orchestration runs) | mcp/examples/claude/SKILL.md | ~/.claude/skills/laviya-orchestrator/SKILL.md | /.claude/skills/laviya-orchestrator/SKILL.md |
laviya-delivery-cycle (verify a work list, create tasks, report Ready for deploy) | claude/laviya-delivery-cycle/SKILL.md | ~/.claude/skills/laviya-delivery-cycle/SKILL.md | /.claude/skills/laviya-delivery-cycle/SKILL.md |
laviya-prd-intake (turn a PRD into epics, stories, tasks, sprints and test cases; example PRD: docs/examples/prd-order-export.md) | claude/laviya-prd-intake/SKILL.md | ~/.claude/skills/laviya-prd-intake/SKILL.md | /.claude/skills/laviya-prd-intake/SKILL.md |
The paths in the second column are where the files live in this repository, not where Claude Code looks for them. A file in ~/.claude/laviya-delivery-cycle/ (without skills) or directly in ~/.claude/ is ignored.
Windows (PowerShell, from the repository root):
New-Item -ItemType Directory -Force "$HOME\.claude\skills\laviya-orchestrator", "$HOME\.claude\skills\laviya-delivery-cycle", "$HOME\.claude\skills\laviya-prd-intake" | Out-Null
Copy-Item mcp\examples\claude\SKILL.md "$HOME\.claude\skills\laviya-orchestrator\SKILL.md" Copy-Item claude\laviya-delivery-cycle\SKILL.md "$HOME\.claude\skills\laviya-delivery-cycle\SKILL.md" Copy-Item claude\laviya-prd-intake\SKILL.md "$HOME\.claude\skills\laviya-prd-intake\SKILL.md"
macOS / Linux (from the repository root):
mkdir -p ~/.claude/skills/laviya-orchestrator ~/.claude/skills/laviya-delivery-cycle ~/.claude/skills/laviya-prd-intake
cp mcp/examples/claude/SKILL.md ~/.claude/skills/laviya-orchestrator/SKILL.md cp claude/laviya-delivery-cycle/SKILL.md ~/.claude/skills/laviya-delivery-cycle/SKILL.md cp claude/laviya-prd-intake/SKILL.md ~/.claude/skills/laviya-prd-intake/SKILL.md
Check: start a new Claude Code session and run /skills; laviya-orchestrator, laviya-delivery-cycle and laviya-prd-intake must be listed. Copy the files again after updating this repository. The Laviya MCP tools also work without the skills; the skills add the step-by-step rules.
Install the reusable asset bundle:
npm install laviya-agent-skills
Example usage:
import { assets, resolveAssetPath } from "laviya-agent-skills";
import { readFileSync } from "node:fs";
const cursorRule = readFileSync(assets.cursorRule, "utf8"); const orchestratorPrompt = readFileSync(resolveAssetPath("orchestratorSystemPrompt"), "utf8");
mcp/README.mddocs/Setup.mddocs/MCPServerPublish.mddocs/InstallationAndUsage.mddocs/InstallationAndUsage.mdThe MCP runtime follows a global-runtime plus project-local-config model:
.laviya/project.json or .laviya.json)Current MCP tool set includes both orchestration and local-direct task feed flows:
laviya_helplaviya_feed_tasklaviya_get_local_work_statuslaviya_cancel_local_worklaviya_add_task_commentlaviya_list_projectslaviya_list_taskslaviya_create_taskslaviya_start_delivery_runlaviya_get_tasklaviya_upload_task_filelaviya_update_task_descriptionlaviya_assign_tasklaviya_list_sprintslaviya_create_sprintlaviya_assign_tasks_to_sprintlaviya_list_task_linkslaviya_add_task_linklaviya_remove_task_linklaviya_list_test_caseslaviya_create_test_caseslaviya_report_test_resultlaviya_list_wikislaviya_get_wikilaviya_create_wikilaviya_update_wikilaviya_start_task_worklaviya_complete_task_worklaviya_get_my_worklaviya_start_executionlaviya_complete_executionlaviya_report_token_usagelaviya_diagnosticsAll tools return API envelope JSON text in the shape: { HasFailed, Messages, Data }.
Work items may include a backend-defined ExecutionPolicy. Analysis and review policies are read-only: agents must not implement changes, and enforced policies require a truthful completion executionEvidence.
For full architecture details and file-level scaffolding, refer to mcp/README.md.