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AI Implementation Cost: the site's own MCP server — calculator, enquiry (enquiry = a human...

Should I use this

Quality & Safety

B
Description quality
100%
Schema completeness
56%
Naming quality
88%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~768Tokens (tool definitions)
~1.0 KBTypical response size
Moderate attention impact (0.60% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "site": {
      "url": "https://aiimplementationcost.com/mcp"
    }
  }
}

Remote endpoints

https://aiimplementationcost.com/mcpstreamable-http

What it can do

Tool inventory

Tools (5)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢calculator_describe

The inputs this calculator takes (with units, ranges and defaults), the outputs it returns, and the assumptions and tables behind it.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡calculate(licence, dataMult, intMult, people, changePer, ...)

Run the AI implementation cost model calculator: Data preparation; Integration; Change and training; Year one total. Missing inputs fall back to their documented defaults.

Input Schema

{
  "type": "object",
  "properties": {
    "licence": {
      "type": "number",
      "description": "Annual licence or platform cost quoted",
      "default": 40000
    },
    "dataMult": {
      "type": "number",
      "description": "Data preparation, as a multiple of the licence",
      "default": 1.5
    },
    "intMult": {
      "type": "number",
      "description": "Integration, as a multiple of the licence",
      "default": 1
    },
    "people": {
      "type": "number",
      "description": "People whose work changes",
      "default": 25
    },
    "changePer": {
      "type": "number",
      "description": "Change and training cost per person",
      "default": 1200
    },
    "runPct": {
      "type": "number",
      "description": "Annual running cost as a percentage of build",
      "default": 20
    },
    "hoursSaved": {
      "type": "number",
      "description": "Hours saved per person per week",
      "default": 2
    },
    "hourCost": {
      "type": "number",
      "description": "Fully loaded cost per hour",
      "default": 45
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡enquiry_describe

Read first. States plainly what submit_enquiry does on AI Implementation Cost: it starts an enquiry with human providers who quote directly. Nothing is bought, ordered or paid; no quote is guaranteed; it is free. Also returns who receives the details, the consent wording, and how the person confirms.

Input Schema

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

Every field of the AI Implementation Cost enquiry: key, label, type, whether required, help text and the allowed options where there are any. Pass answers to submit_enquiry keyed by field key.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡submit_enquiry(answers, consent, confirmation)

Submits an enquiry to AI Implementation Cost — NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key from enquiry_fields) and consent=true; it validates and returns a summary, the consent line and a confirmation token — show the person the summary and the consent line. Step 2: only if the person agrees, call again with the same answers, consent=true and the confirmation token; the enquiry is then submitted, and the person receives an email with a link they must click before any provider sees it. Consent means the person has read and agreed to: "Happy for my details to go to AI implementation partners, who'll contact me directly."

Input Schema

{
  "type": "object",
  "properties": {
    "answers": {
      "type": "object",
      "additionalProperties": {
        "type": [
          "string",
          "number",
          "boolean"
        ]
      },
      "description": "the person's answers, keyed by field key"
    },
    "consent": {
      "type": "boolean",
      "description": "true only when the person has agreed to: Happy for my details to go to AI implementation partners, who'll contact me directly."
    },
    "confirmation": {
      "type": "string",
      "description": "the confirmation token from step 1, after the person has approved the summary"
    }
  },
  "required": [
    "answers",
    "consent"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Community

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Evidence

Recent observations

verifiedversion not recorded5 tools
verifiedversion not recorded5 tools