
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)
claude mcp add palyan-ai-ops-mcp-server -- npx -y palyan-ai-ops-mcp-serverAdd your badge
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| Package | palyan-ai-ops-mcp-server |
|---|---|
| Transport | STDIO |
| Auth | None |
| Last updated | July 15, 2026 |
| Repository | levelsofself/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_inforeplacesget_family_info,team_capabilitiesreplacesteam_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
- Clone this repo
- Create an API keys file:
echo '["your-key-here"]' > /path/to/mcp-api-keys.json - Update the key file path in
server.jsif needed - Run
node server.js - 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:
"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.
"What do I need to know about government contracting certifications?" - Returns current certification categories and relevant NAICS codes.
"Translate this message to Armenian for a business context" - Routes to the Translation AI for culturally adapted translation across 6 supported languages.
"Give me a business overview of the Palyan Family AI System operation" - Returns business summary: service areas, certification categories, and specialist count.
"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.
- Business: Levels of Self - Arthur Palyan
- California Certified Small Business (Micro)
- Website: https://www.levelsofself.com
- Game: https://100levelup.com
- Privacy: https://api.100levelup.com/family/privacy.html
- MCP Privacy: https://api.100levelup.com/family/mcp-privacy.html
Support
- Email: artpalyan@levelsofself.com
- Book a call: https://calendly.com/levelsofself/zoom
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.