The Automators

Official18 tools

by theautomators

Read-only MCP server for The Automators: services, pricing, industries, case studies, calculators.

Model Context Protocol (MCP) Server: ai.theautomators/mcp

ai.theautomators/mcp is a read-only Model Context Protocol (MCP) server for The Automators. It provides access to The Automators content spanning services, pricing, industries, case studies, and calculators.

🛠️ Key Features

Read-only MCP server
Exposes The Automators data categories: services, pricing, industries, case studies, calculators

🚀 Use Cases

Retrieve service details for The Automators
Look up pricing information
Explore industries and associated case studies
Use calculators provided by The Automators

⚡ Developer Benefits

Read-only access suitable for data consumption workflows
Supports structured integration via MCP for the listed business content categories

⚠️ Limitations

Read-only access (no write or modification capabilities are described)
Scope is limited to services, pricing, industries, case studies, and calculators as stated

Captured live from the server via tools/list.

get_company_profile

Returns who The Automators are: name, description, founding year, headquarters, service area, the public team (name, role, LinkedIn, bio), verified public profiles, the content licence (RSL 1.0) and headline track record. Use it to introduce the company or check a fact about it. It is not the place for pricing (get_pricing) or contact details (get_contact_options).

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

get_contact_options

Returns how a person reaches The Automators: phone, the public email, the booking page and direct calendar link, business hours, the response-time promise, and what to include in an inquiry (company, what to automate, timeline). Use it whenever the user wants to talk to a human or book a consultation. The server never sends messages; it only returns these options.

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

get_faq

Returns the site FAQs for a topic: "general" (the homepage questions), "pricing" (the /pricing/ questions), or a service, industry or tool slug (that page's questions). Omit the topic for general plus pricing. Use it to answer a common question in the site's own words.

Parameters1

topic

string

optional

"general", "pricing", or a service/industry/tool slug such as "ai-voice-communication" or "healthcare"

Raw schema

{
  "type": "object",
  "properties": {
    "topic": {
      "type": "string",
      "minLength": 1,
      "maxLength": 80,
      "description": "\"general\", \"pricing\", or a service/industry/tool slug such as \"ai-voice-communication\" or \"healthcare\""
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

list_services

Returns the six service pillars and the eleven AI Agent Development capabilities, each with a one-line description and URL. Use it first to find the right service slug before calling get_service. Not for pricing (get_pricing).

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

get_service

Returns everything the site says about one service: description, the full page text as markdown, its FAQs, related real case studies, and the pricing and timeline that apply. Use it when a user asks what a specific service involves or whether it fits their need. Get the slug from list_services.

Parameters1

slug

string

required

Service slug, e.g. "ai-voice-communication"

Raw schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "minLength": 1,
      "maxLength": 80,
      "description": "Service slug, e.g. \"ai-voice-communication\""
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

get_pricing

Returns the pricing model: one-time build price, ongoing model costs paid to the provider, ownership, no retainer, typical timeline and ROI window, what is included, what is billed separately, and who it is not for. Use it for any cost, budget or "how much" question. Figures come from the same module the site renders, so quote them as given.

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

get_engagement_process

Returns the four engagement steps (discover and map, opportunity analysis, build and integrate, optimise and scale) with what happens in each, what the client provides, the typical timeline and how it starts (a free consultation). Use it for "how does working with you go" questions.

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

list_industries

Returns the 20 industries with a dedicated playbook page: slug, name, audience, one-line description and URL. Use it to find the slug for get_industry_playbook.

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

get_industry_playbook

Returns the playbook for one industry: a TL;DR, the industry landscape with verified, cited statistics, the workflows we automate (pain point, automation, outcome), relevant services, illustrative example use cases (not client work), compliance notes, FAQs and related industries. Use it when the user names an industry.

Parameters1

slug

string

required

Industry slug, e.g. "healthcare"

Raw schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "minLength": 1,
      "maxLength": 80,
      "description": "Industry slug, e.g. \"healthcare\""
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

list_case_studies

Returns the four real, published case studies with client, industry, summary, owner-confirmed metrics and URL. These are the only pages that describe The Automators' own past work. Use get_case_study for the full story.

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

get_case_study

Returns one real case study in full: facts, metrics and the page narrative as markdown. Get the slug from list_case_studies.

Parameters1

slug

string

required

Case study slug, e.g. "scada-system-automation"

Raw schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "minLength": 1,
      "maxLength": 80,
      "description": "Case study slug, e.g. \"scada-system-automation\""
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

get_blog_post

Returns one blog post as markdown: title, author, date, the full body with links, a Sources list and the post's FAQs. Use search_content to find the slug. Every post is written by The Automators' team and published at theautomators.ai/blog/.

Parameters1

slug

string

required

Post slug from search_content, e.g. "legal-workflow-automation-a-practical-guide-for-modern-teams"

Raw schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "minLength": 1,
      "maxLength": 160,
      "description": "Post slug from search_content, e.g. \"legal-workflow-automation-a-practical-guide-for-modern-teams\""
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

check_service_area

Resolves a city, province, state or country to the matching local page (649 Canadian and US pages) and says whether it is served. Anything outside Canada and the US is served remotely and resolves to the locations index with a note. Use it whenever a user mentions where they are.

Parameters1

query

string

required

A place, e.g. "Calgary", "Portsmouth, VA", "Ontario", "Berlin"

Raw schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "minLength": 1,
      "maxLength": 120,
      "description": "A place, e.g. \"Calgary\", \"Portsmouth, VA\", \"Ontario\", \"Berlin\""
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

search_content

Keyword search across blog posts, services, industries, tools and case studies. Returns ranked results with type, title, URL, description, date and TL;DR where available. Use it to find the right page or post before reading it with get_blog_post, get_service or get_industry_playbook.

Parameters2

query	string	required	Keywords, e.g. "voice agent" or "invoice processing"
limit	integer	optional	Maximum results (1 to 20)

Raw schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "minLength": 2,
      "maxLength": 200,
      "description": "Keywords, e.g. \"voice agent\" or \"invoice processing\""
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 20,
      "default": 10,
      "description": "Maximum results (1 to 20)"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

estimate_roi

Runs the site's ROI calculator: from team size, weekly manual hours, hourly cost and error rate it estimates annual hours saved, annual savings, implementation cost, ROI percent and payback months, plus the service recommendations the page shows. Use it when a user wants a number for the value of automating a process. Optional industry preset sets the automation efficiency.

Parameters6

employees	integer	optional	People doing the manual work (1 to 100)
hoursPerWeek	integer	optional	Hours per person per week on manual tasks (1 to 40)
hourlyCost	integer	optional	Fully loaded hourly cost per person, CAD (15 to 150)
errorRate	number	optional	Percent of manual work containing errors (0 to 25)
industry	string	optional	Optional preset; fills any input left out and sets automationEfficiency unless given explicitly
automationEfficiency	number	optional	Share of manual hours automation removes (default 0.70; presets use 0.60 to 0.75)

Raw schema

{
  "type": "object",
  "properties": {
    "employees": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "description": "People doing the manual work (1 to 100)"
    },
    "hoursPerWeek": {
      "type": "integer",
      "minimum": 1,
      "maximum": 40,
      "description": "Hours per person per week on manual tasks (1 to 40)"
    },
    "hourlyCost": {
      "type": "integer",
      "minimum": 15,
      "maximum": 150,
      "description": "Fully loaded hourly cost per person, CAD (15 to 150)"
    },
    "errorRate": {
      "type": "number",
      "minimum": 0,
      "maximum": 25,
      "description": "Percent of manual work containing errors (0 to 25)"
    },
    "industry": {
      "type": "string",
      "enum": [
        "custom",
        "oil-gas",
        "healthcare",
        "professional-services",
        "ecommerce-retail",
        "manufacturing",
        "technology-saas",
        "finance-insurance",
        "real-estate"
      ],
      "description": "Optional preset; fills any input left out and sets automationEfficiency unless given explicitly"
    },
    "automationEfficiency": {
      "type": "number",
      "minimum": 0.5,
      "maximum": 0.9,
      "description": "Share of manual hours automation removes (default 0.70; presets use 0.60 to 0.75)"
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

assess_ai_readiness

Runs the site's AI Readiness Assessment. Call it with no answers to get the 10 questions and their scored options; ask the user; then call it again with one score (1 to 4) per question in order to get the level (Beginner, Intermediate, Advanced), the percent score, the per-dimension breakdown, the weakest dimensions and service recommendations.

Parameters1

answers

array

optional

One score from 1 to 4 per question, in question order (10 questions). Omit to receive the questions.

Raw schema

{
  "type": "object",
  "properties": {
    "answers": {
      "type": "array",
      "items": {
        "type": "integer",
        "minimum": 1,
        "maximum": 4
      },
      "minItems": 10,
      "maxItems": 10,
      "description": "One score from 1 to 4 per question, in question order (10 questions). Omit to receive the questions."
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

prioritize_processes

Runs the site's Process Prioritizer on up to 10 manual processes (name, hours per week, frequency, complexity, error-prone, people involved). Returns each one's score out of 100, priority, estimated annual savings, reasoning and implementation timeline, ranked, plus totals and service recommendations. Use it when a user lists several things they might automate.

Parameters1

processes

array

required

Raw schema

{
  "type": "object",
  "properties": {
    "processes": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string",
            "minLength": 1,
            "maxLength": 120,
            "description": "What the process is, e.g. \"Invoice processing\""
          },
          "hoursPerWeek": {
            "type": "integer",
            "minimum": 1,
            "maximum": 40,
            "description": "Hours per week it takes (1 to 40)"
          },
          "frequency": {
            "type": "string",
            "enum": [
              "daily",
              "weekly",
              "monthly"
            ]
          },
          "complexity": {
            "type": "string",
            "enum": [
              "low",
              "medium",
              "high"
            ]
          },
          "errorProne": {
            "type": "boolean",
            "description": "Whether mistakes happen regularly"
          },
          "peopleInvolved": {
            "type": "integer",
            "minimum": 1,
            "maximum": 20,
            "description": "People who touch it (1 to 20)"
          }
        },
        "required": [
          "name",
          "hoursPerWeek",
          "frequency",
          "complexity",
          "errorProne",
          "peopleInvolved"
        ],
        "additionalProperties": false
      },
      "minItems": 1,
      "maxItems": 10
    }
  },
  "required": [
    "processes"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

estimate_customer_service_savings

Runs the site's Customer Service Cost Calculator: from monthly tickets, handle time, agent cost, agents on staff, response time and after-hours share it estimates current and AI-assisted monthly cost, monthly and annual savings, tickets deflected, response-time reduction and ROI, with service recommendations. Use it for support-desk cost questions. An industry preset fills typical inputs.

Parameters7

monthlyTickets	integer	optional	Support tickets per month (100 to 50000)
avgHandleTime	integer	optional	Average handle time in minutes (2 to 30)
agentHourlyCost	integer	optional	Agent hourly cost, CAD (15 to 75)
agentsOnStaff	integer	optional	Agents on staff (1 to 50)
avgResponseTime	integer	optional	Average first response time in minutes (1 to 120)
afterHoursPercent	integer	optional	Percent of tickets arriving after hours (0 to 60)
industry	string	optional	Optional preset; fills any input left out

Raw schema

{
  "type": "object",
  "properties": {
    "monthlyTickets": {
      "type": "integer",
      "minimum": 100,
      "maximum": 50000,
      "description": "Support tickets per month (100 to 50000)"
    },
    "avgHandleTime": {
      "type": "integer",
      "minimum": 2,
      "maximum": 30,
      "description": "Average handle time in minutes (2 to 30)"
    },
    "agentHourlyCost": {
      "type": "integer",
      "minimum": 15,
      "maximum": 75,
      "description": "Agent hourly cost, CAD (15 to 75)"
    },
    "agentsOnStaff": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "description": "Agents on staff (1 to 50)"
    },
    "avgResponseTime": {
      "type": "integer",
      "minimum": 1,
      "maximum": 120,
      "description": "Average first response time in minutes (1 to 120)"
    },
    "afterHoursPercent": {
      "type": "integer",
      "minimum": 0,
      "maximum": 60,
      "description": "Percent of tickets arriving after hours (0 to 60)"
    },
    "industry": {
      "type": "string",
      "enum": [
        "custom",
        "retail-ecommerce",
        "saas-technology",
        "healthcare",
        "financial-services",
        "hospitality"
      ],
      "description": "Optional preset; fills any input left out"
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Install

Tools (18)

get_company_profileget_contact_optionsget_faqlist_servicesget_serviceget_pricingget_engagement_processlist_industries

Remote endpoint

Streamable HTTP

Hosted server - connect over the network, no local install.

url

https://mcp.theautomators.ai/mcp

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.theautomators.ai/mcp"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.

Model Context Protocol (MCP) Server: ai.theautomators/mcp

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

get_company_profile

get_contact_options

get_faq

list_services

get_service

get_pricing

get_engagement_process

list_industries

get_industry_playbook

list_case_studies

get_case_study

get_blog_post

check_service_area

search_content

estimate_roi

assess_ai_readiness

prioritize_processes

estimate_customer_service_savings

Install

Remote endpoint

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