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krulewis

tokencast

by krulewis
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Python

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Alternatives to tokencast

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    Related Servers

    • TokenOracle MCP

      VictoryInTech
      A
      license
      Not graded
      quality
      D
      maintenance
      Estimates, compares, and controls LLM API costs before agents spend tokens, with tools for cost estimation, model comparison, and budget checking.
      44 npm
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    • genpark-cognitive-load-budget

      Alpha-Park
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables monitoring of running agent loops with token and monetary cost estimation, pruning of verbose thinking chains near limits, and routing sub-tasks between fast/cheap and deep reasoning models. It provides deterministic, MCP-compatible budget optimization for autonomous agents and copilot frameworks.
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    • spendguard

      tanveer-arch
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to pre-flight estimate query costs, enforce hard budgets, reconcile actual billed spend, and suggest cheaper rewrites across BigQuery, Snowflake, and Databricks.
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    • l6e-mcp by l6e-ai

      l6e-mcpofficial

      l6e-ai
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI coding agents to set budgets per task, check costs before expensive operations, and halt when budget is exhausted, with support for calibration and cloud sync.
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.5/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct concern: telemetry opt-out, cost estimation, calibration metrics, historical queries, and cost reporting at different granularities. No two tools overlap in purpose or action.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in lowercase snake_case (disable_telemetry, estimate_cost, get_calibration_status, get_cost_history, report_session, report_step_cost). The naming style is uniform and predictable.

    Tool Count5/5

    Six tools is well-scoped for a cost estimation and calibration server. Each tool contributes a necessary function without redundant or bloated additions.

    Completeness4/5

    The toolset covers the essential workflow: estimate costs, report actuals, inspect calibration, and query history. Minor gaps exist (e.g., no way to enable telemetry after disabling, no per-estimate detail retrieval), but they do not break the core usage flow.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources