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arsentev-ai

contextburn

by arsentev-ai
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Related Servers

Alternatives to contextburn

No user-submitted related servers found.

    Related Servers

    • tokenscope

      wartzar-bee
      A
      license
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      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.
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    • tokenchit

      iyashjayesh
      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.
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    • Token Analyzer MCP

      cordlesssteve
      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
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    • token-meter

      whdrnr2583-cmd
      A
      license
      A
      quality
      A
      maintenance
      Local-first dashboard + MCP server that parses Claude Code and Codex JSONL files into a SQLite cost / token tracker. Per-MCP and per-tool breakdown, session drill-down, dedup by request_id; never talks to vendor APIs
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      1
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    • Tallybook

      magna-nz
      A
      license
      A
      quality
      A
      maintenance
      Prices your Claude Code and Codex sessions from the transcripts on disk, shows what each agent cost over any period, and tells you in plain English what would have been cheaper. CLI, Browser UI and MCP server.
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    • ai-usage-mcp

      MohitBansal321
      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.
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    Deploy Server
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    TDQS

    B3.2/5.0

    Scored across 2 tools

    Disambiguation3/5

    Both tools report on token spend and efficiency over the last N hours, and spend_breakdown explicitly includes run efficiency, so their boundaries overlap. An agent could reasonably confuse which tool to call for a pure efficiency metric versus a full breakdown.

    Naming Consistency4/5

    Both tools use snake_case with descriptive two-word noun phrases, which is a predictable and consistent convention. However, run_efficiency is slightly less standard as a noun than spend_breakdown, and neither follows a verb_noun action pattern.

    Tool Count3/5

    Two tools is borderline thin for a server analyzing context burn. While each tool has a distinct output, the surface feels minimal and may lack supporting operations like listing sessions or filtering by project.

    Completeness3/5

    The tools cover efficiency metrics and a spend breakdown including sessions, but there is no tool to list sessions, drill into a specific session, or filter by project/model. Core reporting is present but not exhaustive, which could cause dead ends for deeper analysis.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources