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Agent Cost MCP Server

by karmendra8386
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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.8/5.0

    Scored across 5 tools

    Disambiguation4/5

    price_usage and estimate_run_cost both price input/output tokens and could be momentarily confused, but the descriptions clearly separate a concrete recorded usage from a projected single run with cross-model comparison. compare_models_for_task (success-rate ranking), record_spend (ledger write), and budget_status (ledger read) each target a distinct concern.

    Naming Consistency4/5

    Four names follow a clean verb_noun snake_case pattern (price_usage, estimate_run_cost, compare_models_for_task, record_spend). budget_status is a noun_noun query name, a minor deviation, but the set remains readable and predictable.

    Tool Count5/5

    Five tools is well-scoped for a cost estimation server: price, estimate, compare, record, and check budget. No tool is redundant and none feels like filler.

    Completeness4/5

    The pricing, projection, ranking, recording, and budget-checking lifecycle is covered, with estimate_run_cost implicitly exposing the model snapshot. Minor gaps remain: no explicit tool to list available models or model_ids, and no way to read back or clear ledger entries beyond budget_status.

    Maintenance

    ActivityMaintained
    ResponsivenessWithin a week

    Resources