# openai-usage-mcp

> Use this tool when you need to monitor and analyze OpenAI usage and cost data, including spend summaries and token usage by model. It provides valuable insights through spend summaries, daily breakdowns, and month-over-month comparisons, helping to optimize resource allocation and budgeting. Ideal for managing and optimizing OpenAI expenses, it accepts query inputs and returns detailed usage and cost data as output.

Canonical page: https://skillsregistry.net/skills/dlaporte-openai-usage-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dlaporte-openai-usage-mcp

## Description

MCP server for querying OpenAI usage and cost data, including spend summaries, daily breakdowns, month-over-month comparisons, and token usage by model.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fbxfzjuaq6)
- **Repository:** <https://github.com/dlaporte/openai-usage-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dlaporte-openai-usage-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dlaporte-openai-usage-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dlaporte-openai-usage-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt