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Alternatives to context-forensics-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Analyzes Claude Code session token usage and cost locally — where spend actually lands across cache-read, cache-write and output, and what is consuming the context window. Read-only and offline: it parses your own session files and exposes analyze_claude_cost, get_cost_benchmark and tokenscope_share_summary.
      27 npm
      4
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Analyzes local Claude Code logs to measure subscription value, waste, and rate-limit usage, including chat share and current limits, without uploading data.
      4
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Lets a coding agent inspect its own run efficiency mid-session from local Claude Code transcripts, exposing the share of paid tokens that became model output versus context re-reading. Ships two stdio tools — one returning the shares as structured data and one returning the full cost-weighted report — with no network calls.
      2
      328 PyPI
      MIT
    • F
      license
      Not graded
      quality
      Not graded
      maintenance
      Provides intelligent analysis of token usage patterns and optimization recommendations to improve efficiency and reduce costs in Claude Code sessions. Offers real-time analysis, cost metrics, and actionable insights for better context window and tool usage optimization.
      3 npm
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      Reads the Claude Code, Codex and OpenCode usage logs already on your machine and reports token totals, per-day and per-hour activity, a per-agent and per-model breakdown, and a year-in-review recap. It makes no network request at all — a test fails if any source file in the package can open a socket.
      4
      15
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables analyzing coding-agent session transcripts to measure tool efficiency, detect loops, track test outcomes, and report costs, with MCP tools for listing sessions, analyzing sessions, finding loops, and generating cost reports.
      4
      MIT