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log-ai-compressor

Local log forensics: compress logs into citable evidence with root-cause confidence tiers.

Connector by hu-chenyu · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)★ 1
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Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/hu-chenyu-log-ai-compressor

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Local log forensics: compress logs into citable evidence with root-cause confidence tiers.

Use cases: debugging, monitoring-observability

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
7 read · 0 write · 0 delete · 1 not yet classified
Secrets
None asked for
Install scripts
Not scanned yet
Runs as
Python package

Tools by what they do 8

Read from the source code; the running server may list different tools.

Read 7 · Look things up without changing anything.

  • analyze_log_file
  • analyze_log_text
  • check_environment
  • compare_log_files
  • get_cluster_detail
  • list_rules
  • verify_evidence

Not yet classified 1 · We could not tell from the name and description.

  • export_report

Files it touches

  • Any path the agent passes to its tools

Tools (8)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • analyze_log_file分析本机日志文件

    分析一个或多个本机日志文件（按 mtime 从旧到新合并，适用于轮转日志），返回：统计概览 + 按优先级排序的错误簇 + 根因判定 + 异常标记。输出已经过聚类去重，token 消耗比读原始日志低几个数量级。

  • analyze_log_text分析日志文本

    直接分析一段日志文本（用户粘贴的内容、命令输出、Agent 读到的片段）。

  • check_environment检查运行环境

    确认工具是否可用、内置规则、AI 解读是否已配置。不传参数即可自检。

  • compare_log_files多文件对比

    对比 2~5 个日志文件，列出相对基准文件的「新增 / 消失 / 共同」错误，适配版本回归验证与修复前后对比。对齐分两级：先按消息模板，再按 trace_id 兜底 —— 同一个 trace 在两边措辞不同（同一次事故）时算「共同」而不是「新增 + 消失」两份。每项的 matched_by 字段（template / trace）说明它是怎么对上的。

  • export_report导出分析报告

    把指定日志文件导出为压缩报告。Markdown 格式专为投喂 LLM 优化（概览 + Top N 清单 + 典型样例详情），通常比原始日志小 50~500 倍。

  • get_cluster_detail查看错误簇详情

    对某个日志文件取单个错误簇的完整证据：典型样例原始行、前后上下文、降噪堆栈（业务帧高亮、系统库帧已折叠）、变量取值分布、全部实例。

  • list_rules列出内置解析规则

    列出内置的日志解析规则模板及其适用场景。日志格式没被正确解析时先看这里。

  • verify_evidence复核结论的出处（日志是否被改过）

    取证自校验：核对结论的出处是否仍与原始日志一致。传 report_path 复核一份已导出的 JSON 报告（推荐：报告发出后日志可能已被修改或轮转清理）；只传 path 是当场自检。返回 VERIFIED / TAMPERED / UNVERIFIABLE / NO_EVIDENCE。**UNVERIFIABLE 不等于 TAMPERED**：前者是「源读不到，验不了」，后者是「回读过了，对不上」。把它们混为一谈，等于指控一个没发生的篡改。本工具的立场是「你不必相信我，自己复核」—— 在把结论当成事实转述给用户之前跑这一步。

Signals

Stars
1
Forks
0
Open issues
0
Weekly downloads
2,182
Last commit
Oct 24, 2026 (7 days ago)
Last release
Oct 24, 2026 (7 days ago)
Last package publish
Oct 24, 2026 (7 days ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.hu-chenyu/log-ai-compressor
Version
2.12.9
Auth
No auth
Packages
pypi log-ai-compressor
License
MIT
Repository
github.com/hu-chenyu/log-ai-compressor
Website
github.com/hu-chenyu/log-ai-compressor
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
Official MCP Registrygithub-graphql

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log-ai-compressor MCP server. Agent Mart. https://agentmart.dev/connectors/hu-chenyu-log-ai-compressor (last updated 2026-10-24)