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Laviya AI Orchestration MCP runtime for IDE and agent integrations.
About
Laviya AI Orchestration MCP runtime for IDE and agent integrations.
Security Report
9.7
Low Risk9.7Low RiskValid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
6 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Laviya API key used for MCP runtime authentication.Required
Environment variable: LAVIYA_API_KEY
Optional base URL override for the Laviya API endpoint.
Environment variable: LAVIYA_BASE_URL
Optional agent UID override for execution orchestration.
Environment variable: LAVIYA_AGENT_UID
Optional log level override (debug|info|warn|error).
Environment variable: LAVIYA_LOG_LEVEL
Optional path override for global runtime config (useful in sandboxed environments where home directory is not readable).
Environment variable: LAVIYA_GLOBAL_CONFIG_PATH
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-kartegagithub-laviya-agent-skills": {
"env": {
"LAVIYA_API_KEY": "your-laviya-api-key-here",
"LAVIYA_BASE_URL": "your-laviya-base-url-here",
"LAVIYA_AGENT_UID": "your-laviya-agent-uid-here",
"LAVIYA_LOG_LEVEL": "your-laviya-log-level-here",
"LAVIYA_GLOBAL_CONFIG_PATH": "your-laviya-global-config-path-here"
},
"args": [
"-y",
"laviya-mcp-server"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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 toolinglaviya-mcp-server: stdio MCP runtime published frommcp/
What Is Included
core/: shared orchestration prompt assetsmcp/: TypeScript MCP runtime scaffold (laviya-mcp-server)cursor/: Cursor rule artifactsclaude/: Claude skill artifactsdocs/: setup, npm publishing, and end-user onboarding guides
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
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.jsonor.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_helplaviya_feed_tasklaviya_get_local_work_statuslaviya_cancel_local_worklaviya_add_task_commentlaviya_get_my_worklaviya_start_executionlaviya_complete_executionlaviya_report_token_usagelaviya_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 matching completion executionEvidence and summary policyCompliance.
For full architecture details and file-level scaffolding, refer to mcp/README.md.
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