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Related Servers

Alternatives to token-meter

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables local-first tracking of AI token usage and costs from Claude Code and OpenCode, answering queries about tokens, models, sessions, and cost through MCP tools and a CLI, with no network calls.
      321 npm
      1
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      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.
      -
    • F
      license
      A
      quality
      C
      maintenance
      A local MCP server that tracks token usage and costs for Claude Desktop and Claude Code, providing a live dashboard at localhost:6789.
      5
      9 npm
      -
    • A
      license
      A
      quality
      A
      maintenance
      A local-first, multi-provider cost meter for LLM usage, exposed as MCP tools. Captures every call into a local SQLite ledger and lets any coding agent query spend, compare providers, and get recommendations — no cloud, no account. First-class support for Chinese providers (Qwen, DeepSeek) alongside Anthropic and OpenAI.
      7
      31 PyPI
      5
      MIT

    TDQS

    A3.7/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool has a distinct focus: aggregate usage, session listing, per-session tool stats, subagent cost split, and data refresh. There is mild overlap between usage_summary and subagent_costs since both report spend, but the descriptions clearly delineate the scope.

    Naming Consistency4/5

    All names use snake_case and mostly follow a noun-phrase pattern like usage_summary, recent_sessions, and session_tools. refresh_data breaks the pattern as an imperative verb, but the overall naming style is still coherent and predictable.

    Tool Count5/5

    Five tools is a well-scoped count for a focused usage/cost monitoring server. Each tool addresses a distinct analytical need without unnecessary bloat.

    Completeness4/5

    The tool surface covers the core workflow: refresh local data, view aggregate usage, list sessions, inspect per-session tool activity, and analyze subagent costs. Missing advanced capabilities like time-range filtering or raw data export feel like minor gaps rather than fundamental omissions.

    Maintenance

    ActivityStale
    ResponsivenessNo issues