io.github.lazymac2x/ai-cost-optimizer

Official5 toolsLive

by lazymac2x

Cloudflare Workers MCP server: ai-cost-optimizer

io.github.lazymac2x/ai-cost-optimizer (MCP) Server

This Cloudflare Workers MCP server, named ai-cost-optimizer, provides access to REST + MCP (JSON-RPC 2.0) functionality. The service is live at api.lazy-mac.com/ai-cost-optimizer and includes a small tool set (5 tools), exposed through the MCP interface.

🛠️ Key Features

Cloudflare Workers MCP server
Supports REST and MCP (JSON-RPC 2.0)
Live endpoint: api.lazy-mac.com/ai-cost-optimizer

🚀 Use Cases

Using MCP (JSON-RPC 2.0) to access ai-cost-optimizer capabilities
Using REST endpoints alongside MCP integration

⚡ Developer Benefits

Standard MCP communication via JSON-RPC 2.0
Deployable on Cloudflare Workers
Limited surface area: 5 available tools

⚠️ Limitations

Only confirmed integration details are REST + MCP (JSON-RPC 2.0); specific tools and behaviors are not described in the provided data

Captured live from the server via tools/list.

cost_tracker

Record and retrieve AI API call costs by team. Persists to Cloudflare KV — survives cold starts and scale-out.

Parameters6

action	string	required	"record" to log a call, "get" to retrieve recent records
model	string	optional	Model ID (e.g., claude-3-5-sonnet-20241022, gpt-4o, gemini-2.0-flash)
inputTokens	number	optional	Number of input/prompt tokens consumed
outputTokens	number	optional	Number of output/completion tokens generated
team	string	optional	Team or project identifier (default: "default")
metadata	object	optional	Optional key-value metadata (request ID, user, feature flag, etc.)

Raw schema

{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": [
        "record",
        "get"
      ],
      "description": "\"record\" to log a call, \"get\" to retrieve recent records"
    },
    "model": {
      "type": "string",
      "description": "Model ID (e.g., claude-3-5-sonnet-20241022, gpt-4o, gemini-2.0-flash)"
    },
    "inputTokens": {
      "type": "number",
      "description": "Number of input/prompt tokens consumed"
    },
    "outputTokens": {
      "type": "number",
      "description": "Number of output/completion tokens generated"
    },
    "team": {
      "type": "string",
      "description": "Team or project identifier (default: \"default\")"
    },
    "metadata": {
      "type": "object",
      "description": "Optional key-value metadata (request ID, user, feature flag, etc.)"
    }
  },
  "required": [
    "action"
  ]
}

token_calculator

Calculate cost from token counts for any supported AI model. Stateless — no KV required.

Parameters3

model	string	required	Model ID to price
inputTokens	number	required	Input token count
outputTokens	number	required	Output token count

Raw schema

{
  "type": "object",
  "properties": {
    "model": {
      "type": "string",
      "description": "Model ID to price"
    },
    "inputTokens": {
      "type": "number",
      "description": "Input token count"
    },
    "outputTokens": {
      "type": "number",
      "description": "Output token count"
    }
  },
  "required": [
    "model",
    "inputTokens",
    "outputTokens"
  ]
}

budget_alert

Set and check budget limits for teams. Raises a flag when a configurable spending threshold is reached.

Parameters4

action	string	required	"set" to configure a budget, "check" to get current status
team	string	optional	Team identifier
budgetLimit	number	optional	USD budget cap
threshold	number	optional	Alert threshold percentage 0–100 (default: 80)

Raw schema

{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": [
        "set",
        "check"
      ],
      "description": "\"set\" to configure a budget, \"check\" to get current status"
    },
    "team": {
      "type": "string",
      "description": "Team identifier"
    },
    "budgetLimit": {
      "type": "number",
      "description": "USD budget cap"
    },
    "threshold": {
      "type": "number",
      "description": "Alert threshold percentage 0–100 (default: 80)"
    }
  },
  "required": [
    "action"
  ]
}

model_breakdown

Analyze costs broken down by model for a given team over a configurable time window.

Parameters2

team	string	optional	Team identifier
days	number	optional	Lookback window in days (default: 30)

Raw schema

{
  "type": "object",
  "properties": {
    "team": {
      "type": "string",
      "description": "Team identifier"
    },
    "days": {
      "type": "number",
      "description": "Lookback window in days (default: 30)"
    }
  }
}

cost_forecast

Forecast future AI spend based on historical usage patterns using daily-average linear projection.

Parameters3

team	string	optional	Team identifier
forecastDays	number	optional	Days to project ahead (default: 7)
historicalDays	number	optional	Days of history to base the forecast on (default: 30)

Raw schema

{
  "type": "object",
  "properties": {
    "team": {
      "type": "string",
      "description": "Team identifier"
    },
    "forecastDays": {
      "type": "number",
      "description": "Days to project ahead (default: 7)"
    },
    "historicalDays": {
      "type": "number",
      "description": "Days of history to base the forecast on (default: 30)"
    }
  }
}

Install

Tools (5)

cost_trackertoken_calculatorbudget_alertmodel_breakdowncost_forecast

Remote endpoint

Streamable HTTP

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

url

https://api.lazy-mac.com/ai-cost-optimizer/mcp

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "ai-cost-optimizer": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.lazy-mac.com/ai-cost-optimizer/mcp"
      ]
    }
  }
}

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

io.github.lazymac2x/ai-cost-optimizer

io.github.lazymac2x/ai-cost-optimizer (MCP) Server

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

cost_tracker

token_calculator

budget_alert

model_breakdown

cost_forecast

ai-cost-optimizer-api

Install

Remote endpoint

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