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io.github.levelsofself/ai-ops

AI operations management: 12 specialized agents, task dispatch, and team coordination.

Developer ToolsJavaScriptv1.0.1

Levels of Self 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 Levels of Self 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

ToolDescription
get_real_estate_insightsLA neighborhood analysis, property recommendations, market data
get_legal_guidanceContract review, compliance, government contracting, certifications
translate_contentTranslation between EN, ES, NL, HY, RU, KO with cultural adaptation
research_topicMarket research, lead enrichment, competitive analysis
get_business_opsService offerings, certifications, team capabilities, business overview
create_contentPress releases, articles, social posts, marketing materials
get_trainingWorkshop outlines, coaching frameworks, training programs
get_platform_infoPlatform 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

EndpointMethodDescription
/healthGETHealth check (no auth required)
/sseGETSSE transport connection
/messagePOSTSSE transport messages
/mcpPOSTStreamable HTTP transport
/mcpGETServer 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 Levels of Self 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 URIDescription
palyan://platform/overviewPlatform overview and services
palyan://business/certificationsActive business certification categories
palyan://real-estate/neighborhoodsLA neighborhood guide with market data
palyan://business/capabilitiesBusiness capabilities and NAICS codes

About

Levels of Self 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

Installation

Source-derived launch command. Check the maintainer’s required arguments and credentials before running:

bash
npx -y palyan-ai-ops-mcp-server

Set up in your AI client

Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.

json
{
  "mcpServers": {
    "io-github-levelsofself-ai-ops": {
      "command": "npx",
      "args": [
        "-y",
        "palyan-ai-ops-mcp-server"
      ]
    }
  }
}

Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.

Claude Desktop setup reference

Package

palyan-ai-ops-mcp-servernpm

Compatible MCP Clients

io.github.levelsofself/ai-ops works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.

  • Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.
  • Cursor~/.cursor/mcp.jsonRestart Cursor for changes to take effect.
  • VS Code.vscode/mcp.jsonReload VS Code window for changes to take effect.
  • Windsurf~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect.
  • Claude Code.mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.

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