elasticsearch-logs

elasticsearch-logs

Read-only MCP server for Elasticsearch log querying. Enables natural language search, filtering, context retrieval, and aggregation of logs.

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README

Elasticsearch 日志查询 MCP

这是一个只读的 Elasticsearch MCP 服务，适合让 Codex、Claude Desktop 等 MCP 客户端辅助排查日志。

功能

  • check_connection：检查 ES 连接和版本
  • list_indices：发现日志索引
  • get_index_fields：查看字段及类型
  • search_logs：按关键词、时间范围和精确字段过滤日志
  • get_log_context：查看某条异常时间点前后的日志
  • aggregate_logs：按日志级别、服务、主机等字段统计，并可生成时间趋势

所有工具均为只读操作。单次最多返回 200 条日志。

安装与启动

python -m pip install -r requirements.txt
python es_mcp_server.py

默认连接信息与原 testes.py 一致。生产使用建议通过环境变量覆盖：

$env:ES_URL = "http://127.0.0.1:9200"
$env:ES_USERNAME = "elastic"
$env:ES_PASSWORD = "your-password"
python es_mcp_server.py

MCP 客户端配置

将下面配置加入客户端的 MCP servers 配置中，并把路径改成当前机器上的实际绝对路径：

{
  "mcpServers": {
    "elasticsearch-logs": {
      "command": "python",
      "args": ["D:\\pyProject\\esmcp\\es_mcp_server.py"],
      "env": {
        "ES_URL": "http://192.168.25.230:9200",
        "ES_USERNAME": "elastic",
        "ES_PASSWORD": "your-password"
      }
    }
  }
}

使用示例

  • “列出最近的日志索引”
  • “在 app-logs-* 中查询最近一小时包含 NullPointerException 的日志”
  • “筛选 service.name.keyword=order-service 且 log.level.keyword=ERROR 的日志”
  • “查看 2026-07-31T10:30:00+08:00 前后两分钟的日志”
  • “统计最近 24 小时各日志级别数量，并按 1 小时展示趋势”

字段名称以实际 mapping 为准；首次使用建议先调用 get_index_fields。

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