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Easyaiflows Automation Assessment

Easyaiflows Automation Assessment

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github.com/Ronnie-NutritionProductivity1Updated 30w ago

About Easyaiflows Automation Assessment

Easyaiflows Automation Assessment is an MCP server for evaluating a business's AI automation readiness and suggesting industry-specific options. It returns a readiness score, recommended automations, estimated time savings, and next steps for businesses across 20 listed industries.

Key features

  1. 01Business automation readiness score
  2. 02Recommendations based on industry and pain points
  3. 03Estimated time saved by automation
  4. 04Industry-specific automation examples

Use cases

  1. 01Assess automation options for a small business
  2. 02Find automations suited to a business's industry
  3. 03Compare automation ideas against current pain points

MCP support

Exposes two tools to MCP clients: one assesses a business's automation readiness, and the other returns automation examples for an industry.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"easyaiflows": {
"command": "npx",
"args": [
"-y",
"easyaiflows-mcp-server"
]
}
}
}
Run commandnpx -y easyaiflows-mcp-server

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmeasyaiflows-mcp-server

Tools

2

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
industrystringYesThe business industry (e.g., 'dentists', 'restaurants', 'hvac', 'real-estate', 'fitness-studios', 'barbershops', 'nail-salons', 'med-spas', 'chiropractors', 'insurance-agents', 'mortgage-brokers', 'photographers', 'event-planners', 'cleaning-services', 'landscapers', 'auto-repair', 'pet-groomers', 'daycares', 'churches', 'nonprofits')
pain_pointsarrayNoSpecific pain points the business is experiencing (e.g., 'missed calls', 'no-shows', 'slow lead response')
team_sizeenumNoNumber of people on the teamsolo | 2-5 | 6-15 | 16-50 | 50+
current_toolsarrayNoTools currently being used (e.g., 'Google Sheets', 'QuickBooks', 'Mailchimp')

Details

From the project README

EasyAiFlows MCP Server

An MCP (Model Context Protocol) server that helps AI assistants assess business automation readiness and provide industry-specific AI automation recommendations.

When a user asks Claude, ChatGPT, or any MCP-compatible AI assistant "how do I automate my business?" — this server provides a personalized assessment with real automation examples and next steps.

Tools

assess_business_automation

Assess a business's AI automation readiness based on their industry and pain points.

Parameters:

ParameterRequiredDescription
industryYesBusiness industry (e.g., "dentists", "restaurants", "hvac")
pain_pointsNoArray of specific pain points (e.g., ["missed calls", "no-shows"])
team_sizeNoTeam size: "solo", "2-5", "6-15", "16-50", "50+"
current_toolsNoArray of tools currently used (e.g., ["Google Sheets", "Mailchimp"])

Returns: Automation readiness score (0-100), industry-specific pain points, recommended automations with time saved, and next steps with booking link.

get_automation_examples

Get real examples of AI automations for a specific industry.

Parameters:

ParameterRequiredDescription
industryYesBusiness industry to get examples for

Returns: 3 proven automations with descriptions, time saved per week, overall impact stats, and links to the full industry guide.

Supported Industries (20)

Dentists, Restaurants, HVAC, Real Estate, Fitness Studios, Barbershops, Nail Salons, Med Spas, Chiropractors, Insurance Agents, Mortgage Brokers, Photographers, Event Planners, Cleaning Services, Landscapers, Auto Repair, Pet Groomers, Daycares, Churches, Nonprofits

The server also handles aliases (e.g., "gym" → fitness-studios, "mechanic" → auto-repair) and provides a generic assessment for unlisted industries.

Installation

Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on Mac or %APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "easyaiflows": {
      "command": "node",
      "args": ["/path/to/easyaiflows-mcp-server/dist/server.js"]
    }
  }
}
Claude Code
claude mcp add easyaiflows node /path/to/easyaiflows-mcp-server/dist/server.js
Build from Source
git clone https://github.com/Ronnie-Nutrition/easyaiflows-mcp-server.git
cd easyaiflows-mcp-server
npm install
npm run build

Example Usage

Once installed, ask your AI assistant things like:

  • "Assess my restaurant's automation readiness — we're a team of 5, we miss a lot of phone calls, and our reviews are going unanswered."
  • "What AI automations exist for dental practices?"
  • "I run a cleaning service solo and use Google Sheets for everything. How can AI help?"
  • "Show me automation examples for insurance agents."

About EasyAiFlows

Custom AI automation for entrepreneurs who are ready to stop grinding and start growing. Built by Ronnie Craig in Pearland, TX.

License

MIT

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.