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Ai Ops

  • Updated July 15, 2026
  • levelsofself/mcp-ops-server

AI Ops is an MCP server that provides 12 specialized agents with task dispatch and team coordination for ongoing AI workflows.

About

AI Ops is an MCP server from Levels of Self that treats your agent setup like a small operations desk: twelve specialized agents, task dispatch, and coordination so a developer does not juggle fifteen ad-hoc prompts. Install the npm stdio server palyan-ai-ops-mcp-server and register it in Claude Code, Cursor, or similar hosts when you are past the first prototype and routinely running multiple AI workers on product, content, or support tasks. You still own prompts, credentials, and downstream tools; ai-ops adds structure for who does what next. Intermediate complexity reflects that meaningful value appears once you already run several agent workflows and want a single MCP surface for dispatch instead of custom scripts.

  • 12 specialized agents exposed through the MCP ops server
  • Task dispatch and routing for multi-step agent work
  • Team-style coordination primitives for parallel agent roles
  • npm stdio package palyan-ai-ops-mcp-server v1.0.1
  • Centered on AI operations management, not single-tool CRUD

Ai Ops by the numbers

  • Data as of Jul 16, 2026 (Skillselion catalog sync)
terminal
claude mcp add palyan-ai-ops-mcp-server -- npx -y palyan-ai-ops-mcp-server

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Packagepalyan-ai-ops-mcp-server
TransportSTDIO
AuthNone
Last updatedJuly 15, 2026
Repositorylevelsofself/mcp-ops-server

What it does

Dispatch work across 12 specialized MCP agents and coordinate tasks when you run multiple AI helpers like a small ops team.

Who is it for?

Best when you're already running several agent workflows and want a single MCP ops layer for assignment and coordination.

Skip if: Someone shipping their first feature who only needs one coding agent and no multi-agent routing.

What you get

You can route tasks to specialized agents through MCP and coordinate multi-step AI work with less manual chat juggling.

  • Access to 12 specialized agent roles via MCP tools
  • Task dispatch and coordination across agent responsibilities
  • Structured handoffs for recurring AI operations workflows

By the numbers

  • 12 specialized agents advertised in server description
  • MCP server version 1.0.1 (npm identifier palyan-ai-ops-mcp-server)
  • stdio transport via npm registry package
README.md

Palyan Family AI System Operations - MCP Server

An MCP (Model Context Protocol) server that gives AI assistants access to a multi-agent business operations platform with specialized AI services covering real estate, legal, translation, research, content creation, training, and more.

What It Does

This server connects AI assistants to the Palyan Family AI System platform - a team of specialized AI agents built by Arthur Palyan (founder of Levels of Self). Each tool is powered by a dedicated agent with domain expertise:

  • LA Real Estate AI - Los Angeles real estate market insights and neighborhood analysis
  • Legal AI - Business legal guidance, compliance, and government contracting
  • Translation AI - Multi-language translation (6 languages) with cultural adaptation
  • Research AI - Deep research, market analysis, and competitive intelligence
  • Operations AI - Business operations, service offerings, and company metrics
  • Press & Content AI - Professional content creation and media materials
  • Training AI - Personal development training programs and coaching frameworks

All tools are read-only. No user data is collected or stored.

v2.0.0 Changes

  • API key authentication required - All requests (except /health) require a Bearer token in the Authorization header
  • Sanitized internal data - No internal names, cert IDs, registration numbers, or pipeline data exposed
  • Renamed tools - get_platform_info replaces get_family_info, team_capabilities replaces team_status
  • Secure by default - If no API keys are configured, all requests are rejected

Tools

Tool Description
get_real_estate_insights LA neighborhood analysis, property recommendations, market data
get_legal_guidance Contract review, compliance, government contracting, certifications
translate_content Translation between EN, ES, NL, HY, RU, KO with cultural adaptation
research_topic Market research, lead enrichment, competitive analysis
get_business_ops Service offerings, certifications, team capabilities, business overview
create_content Press releases, articles, social posts, marketing materials
get_training Workshop outlines, coaching frameworks, training programs
get_platform_info Platform capabilities, certifications, NAICS codes, contact info

Authentication

All requests require a valid API key passed as a Bearer token:

Authorization: Bearer YOUR_API_KEY

The /health endpoint is open and does not require authentication.

Setup as Custom MCP Connector

Hosted (Recommended)

The server is live and ready to use:

URL: https://api.100levelup.com/mcp-ops/
Protocol: MCP 2024-11-05 (Streamable HTTP + SSE)
Authentication: Bearer token required

Add to your MCP client config:

{
  "mcpServers": {
    "palyan-ai-ops": {
      "url": "https://api.100levelup.com/mcp-ops/",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Self-Hosted

  1. Clone this repo
  2. Create an API keys file: echo '["your-key-here"]' > /path/to/mcp-api-keys.json
  3. Update the key file path in server.js if needed
  4. Run node server.js
  5. Server starts on port 3472

Endpoints

Endpoint Method Description
/health GET Health check (no auth required)
/sse GET SSE transport connection
/message POST SSE transport messages
/mcp POST Streamable HTTP transport
/mcp GET Server info and tool listing

Example Prompts

Try these with any MCP-connected AI assistant:

  1. "What neighborhoods in LA are good for families under $750K?" - Returns neighborhood analysis with median prices, vibes, and commute times for budget-friendly family areas.

  2. "What do I need to know about government contracting certifications?" - Returns current certification categories and relevant NAICS codes.

  3. "Translate this message to Armenian for a business context" - Routes to the Translation AI for culturally adapted translation across 6 supported languages.

  4. "Give me a business overview of the Palyan Family AI System operation" - Returns business summary: service areas, certification categories, and specialist count.

  5. "What training programs are available for emotional intelligence?" - Returns available programs including Self-Awareness Foundations, Pattern Recognition Workshop, and booking links.

Resources

The server exposes MCP resources for direct data access:

Resource URI Description
palyan://platform/overview Platform overview and services
palyan://business/certifications Active business certification categories
palyan://real-estate/neighborhoods LA neighborhood guide with market data
palyan://business/capabilities Business capabilities and NAICS codes

About

Palyan Family AI System Operations is a multi-agent business platform built by Arthur Palyan, operating out of Valencia, CA. The system runs specialized AI agents that handle real estate advisory, legal guidance, translation, research, content creation, and more.

Support

License

MIT - see LICENSE

Recommended MCP Servers

How it compares

Multi-agent dispatch MCP, not a replacement for Claude Code skills or project management SaaS.

FAQ

Who is ai-ops for?

Developers and lean teams operating multiple AI agents daily and wanting structured task dispatch instead of unstructured parallel threads.

When should I use ai-ops?

Use it in operate/iterate when you stabilize how agents split research, implementation, review, and support-style tasks across a recurring pipeline.

How do I add ai-ops to my agent?

Add the npm MCP server palyan-ai-ops-mcp-server (v1.0.1) as a stdio entry in your agent’s MCP config, then invoke its dispatch and coordination tools from Claude Code or Cursor.

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