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PopNx MCPMCP servers for people who use AI · explained in plain words

Laviya Agent Skills

by kartegagithubversion 0.1.32i★ 0iRuns on your computer
Registry nameio.github.kartegagithub/laviya-agent-skills

Install

Overview

Description from the maker (original English)

Laviya AI Orchestration MCP runtime for IDE and agent integrations.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools
  • You need to fill in: LAVIYA_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 2 of 2 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: LAVIYA_API_KEY, LAVIYA_BASE_URL, LAVIYA_AGENT_UID, LAVIYA_LOG_LEVEL, LAVIYA_GLOBAL_CONFIG_PATH

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

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-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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.

Open in VS Code

Or copy the settings yourself

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.

Values you fill in

  • LAVIYA_API_KEY secret required env
    Laviya API key used for MCP runtime authentication.
  • LAVIYA_BASE_URL env
    Optional base URL override for the Laviya API endpoint.
  • LAVIYA_AGENT_UID env
    Optional agent UID override for execution orchestration.
  • LAVIYA_LOG_LEVEL env
    Optional log level override (debug|info|warn|error).
  • LAVIYA_GLOBAL_CONFIG_PATH env
    Optional path override for global runtime config (useful in sandboxed environments where home directory is not readable).

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account kartegagithub, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed today

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 5719 servers in this category
  • Published to the registry more recently than 79% of the other 5719 servers in this category
  • Basic checks equal to or better than 100% of the other 5719 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Laviya Agent Skills safe?

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.

What keys or codes does it need?

You need to fill in: LAVIYA_API_KEY

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed today, and the latest version (0.1.32) reached the registry 4 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: REA, Netdata, Front-End Checklist

Alternatives

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

REA

Reverse engineer anything from your terminal or agent with one CLI and MCP server.

by morlutoWidely used↓ 481.8K/wk★ 448.2KUpdated 16 days ago

Runs on your computer

Netdata

Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.

by netdataWidely used★ 81.3KUpdated 6 days ago

Runs in the cloud

Front-End Checklist

Review frontend code and live pages against 386 quality-gated web development rules.

by thedaviddiasWidely used★ 74.7KUpdated 36 days ago

Runs in the cloud

README from the maker

Open the README

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

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.

Packages

  • laviya-agent-skills: reusable prompt, rule, and skill asset bundle for Node-based tooling
  • laviya-mcp-server: stdio MCP runtime published from mcp/

What Is Included

  • core/: shared orchestration prompt assets
  • mcp/: TypeScript MCP runtime scaffold (laviya-mcp-server)
  • cursor/: Cursor rule artifacts
  • claude/: 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)

Repository Structure

laviya-agent-skills/

core/ mcp/ src/ examples/ README.md cursor/ claude/ docs/ Setup.md MCPServerPublish.md InstallationAndUsage.md

Quick Start

cd mcp

npm install npm run typecheck npm run build npm run dev

Required environment variable:

  • LAVIYA_API_KEY

Install the Claude Code skills

Claude Code loads a skill only from a skills folder, one folder per skill named after the skill, with the file named SKILL.md:

SkillSource file in this repositoryInstall 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.

Installable Asset Package

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");

Documentation Index

  • Runtime architecture and implementation: mcp/README.md
  • Developer setup guide: docs/Setup.md
  • NPM publishing guide: docs/MCPServerPublish.md
  • End-user installation and usage: docs/InstallationAndUsage.md
  • Client-specific MCP setup (Codex, VS Code, Antigravity, Claude): docs/InstallationAndUsage.md

Runtime Overview

The MCP runtime follows a global-runtime plus project-local-config model:

  • machine-level runtime installation
  • repository-level project configuration (.laviya/project.json or .laviya.json)
  • runtime-enforced lifecycle mechanics (validation, retries, idempotency, and structured logging)

Current MCP tool set includes both orchestration and local-direct task feed flows:

  • laviya_help
  • laviya_feed_task
  • laviya_get_local_work_status
  • laviya_cancel_local_work
  • laviya_add_task_comment
  • laviya_list_projects
  • laviya_list_tasks
  • laviya_create_tasks
  • laviya_start_delivery_run
  • laviya_get_task
  • laviya_upload_task_file
  • laviya_update_task_description
  • laviya_assign_task
  • laviya_list_sprints
  • laviya_create_sprint
  • laviya_assign_tasks_to_sprint
  • laviya_list_task_links
  • laviya_add_task_link
  • laviya_remove_task_link
  • laviya_list_test_cases
  • laviya_create_test_cases
  • laviya_report_test_result
  • laviya_list_wikis
  • laviya_get_wiki
  • laviya_create_wiki
  • laviya_update_wiki
  • laviya_start_task_work
  • laviya_complete_task_work
  • laviya_get_my_work
  • laviya_start_execution
  • laviya_complete_execution
  • laviya_report_token_usage
  • laviya_diagnostics

All 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.

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