mcpField
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ai-cost-analyzer

Local
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About ai-cost-analyzer

Analyze LLM API costs: token waste detection, caching savings estimates, model comparison

Configuration

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

mcp.json · Universal config
{
  "mcpServers": {
    "vpatser1-ai-cost-analyzer": {
      "command": "npx",
      "args": [
        "-y",
        "ai-cost-analyzer"
      ],
      "env": {
        "LICENSE_KEY": "<LICENSE_KEY>"
      }
    }
  }
}
Run commandnpx -y ai-cost-analyzer
Environment variables to set
LICENSE_KEYSecretLicense key (emailed after purchase at https://aivp-mcp.vercel.app). Omit for the free trial (3 calls per tool).

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
npmai-cost-analyzer1.1.4

Tools

5

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
usage_dataarrayYesArray of API usage records with model, tokens, and timestamps

Details

The maintainer has not added details yet. Check the README in the repository.

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.