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openai-usage-mcp

by dlaporte

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    • A
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      B
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      An MCP server for unified cost tracking and analysis across AWS, OpenAI, and Anthropic. It enables users to query expenditures, compare costs across providers, and analyze usage trends through natural language.
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      Read-only MCP server for querying AI usage metrics (exact tokens, cost, latency, errors, productivity) from a local SQLite database, enabling charts and analysis in Claude Code and Cursor.
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    TDQS

    A4.7/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: costs for dollar spend, usage for token/request counts, and cost-comparison for month-over-month variance. The descriptions explicitly cross-reference 'DO NOT USE THIS TOOL FOR' statements, eliminating ambiguity.

    Naming Consistency4/5

    Tool names are primarily single-word nouns (costs, usage) with one hyphenated compound (cost-comparison). While not following a verb_noun pattern, the names are short and readable, though the hyphen introduces a minor inconsistency.

    Tool Count5/5

    Three tools is a well-scoped count for an OpenAI usage/cost tracking server. Each tool covers a distinct aspect of the domain (cost, usage, comparison) and fits within the ideal 3-15 tool range.

    Completeness4/5

    The surface covers the core domain of cost and usage tracking, including summary, daily, and raw detail levels, plus month-over-month cost comparison. Missing a dedicated usage-comparison tool or project/service listing, but these are minor and can be worked around via parameters.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues