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MCP Log Reader

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Сервер MCP: анализ и отладка журналов MCP

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🎯 Обзор

MCP Log Reader — специализированный сервер MCP, который помогает вам анализировать и отлаживать журналы Model Context Protocol. Он предоставляет Claude прямой доступ к файлам журналов, что упрощает устранение неполадок интеграции MCP и понимание того, как Claude взаимодействует с вашими инструментами.

  • Поддержка нескольких платформ : работает на macOS, Windows и Linux с путями журналов, зависящими от платформы.

  • Умная фильтрация : найдите определенные записи журнала с помощью текстового поиска без учета регистра.

  • Постраничный просмотр : эффективная навигация по большим коллекциям журналов

  • Управление размером : обрабатывает большие файлы журналов с помощью интеллектуального усечения.

  • Полная интеграция с Claude : работает напрямую с Claude Desktop

Related MCP server: Log Analyzer MCP

🚀 Быстрый старт

Установка через Smithery

Чтобы автоматически установить MCP Log Reader для Claude Desktop через Smithery :

npx -y @smithery/cli install @klara-research/MCP-Analyzer --client claude

Установка вручную

Установите напрямую с GitHub:

# Clone the repository
git clone https://github.com/klara-research/MCP-Analyzer.git
cd MCP-Analyzer

# Install dependencies
npm i

Сборка и запуск:

# Compile TypeScript
npx tsc

🔌 Подключение к Клоду

Добавьте сервер в конфигурацию Claude Desktop:

{
  "mcpServers": {
    "log-reader": {
      "command": "node",
      "args": [
        "/absolute/path/MCP-Analyzer/build"
      ]
    }
  }
}

Затем перезапустите Claude Desktop.

📋 Доступные параметры

Читатель логов поддерживает следующие параметры:

Параметр

Описание

По умолчанию

lines

Количество строк для чтения из каждого файла журнала

100

filter

Текст для фильтрации записей журнала (без учета регистра)

""

customPath

Пользовательский путь к каталогу журнала

ОС-специфический

fileLimit

Максимальное количество файлов для чтения на странице

5

page

Номер страницы для пагинации

1

💡 Пример использования

Попросите Клода использовать инструмент для чтения журналов:

Can you check my MCP logs for any connection errors in the last day?

Или с конкретными параметрами:

Can you look through MCP logs with filter="error" and lines=50 to find initialization issues?

⚙️ Как это работает

  1. Сервер автоматически определяет вашу ОС и находит соответствующий каталог журналов.

  2. Он находит все файлы журналов MCP и сортирует их по времени изменения (сначала самые новые)

  3. Запрошенная страница файлов журнала извлекается на основе настроек пагинации.

  4. Файлы обрабатываются с ограничениями по размеру, чтобы избежать перегрузки ответами.

  5. Отфильтрованный контент возвращается в структурированном формате с подробной информацией о страницах.

📄 Лицензия

Лицензия Массачусетского технологического института

Available Tools

1 tool
read_mcp_logsC

Read MCP logs from the standard location

ParametersJSON Schema
NameRequiredDescriptionDefault
customPathNoOptional custom path to log directory (default is system-specific)
fileLimitNoMaximum number of files to read per page (default: 5)
filterNoOptional text to filter log entries by (case-insensitive)
linesNoNumber of lines to read from the end of each log file (default: 100)
pageNoPage number for pagination (default: 1)

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions reading logs but fails to describe key behaviors like whether this is a safe read operation, what the output format looks like, or any limitations (e.g., file size constraints, error handling). This leaves significant gaps for a tool with multiple parameters.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is appropriately sized and front-loaded, making it easy for an agent to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 5 parameters, no annotations, and no output schema, the description is incomplete. It does not address what the tool returns, how results are structured, or behavioral aspects like pagination details or error conditions, which are crucial for effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema description coverage is 100%, meaning all parameters are documented in the input schema. The description does not add any additional meaning or context beyond what the schema provides, such as explaining interactions between parameters or typical use cases. This meets the baseline for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Read') and resource ('MCP logs from the standard location'), providing a specific verb+resource combination. However, with no sibling tools mentioned, it cannot demonstrate differentiation from alternatives, so it falls short of a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description offers no guidance on when to use this tool versus alternatives, prerequisites, or exclusions. It simply states what the tool does without context for its application, leaving the agent to infer usage scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev1.0.0
    • First observedread_mcp_logs
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.1/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools, making disambiguation perfect. The tool's purpose is clearly defined as reading MCP logs from a standard location, leaving no room for confusion with other tools.

Naming Consistency5/5

The single tool name 'read_mcp_logs' follows a clear verb_noun pattern, which is inherently consistent as there are no other tools to compare it against. This naming convention is straightforward and predictable for any potential future tools.

Tool Count2/5

A single tool is too few for a server named 'MCP Log Reader', as it suggests a limited scope that may not cover common log-related operations like filtering, searching, or managing logs. This minimal count feels thin and inadequate for the apparent domain of log reading.

Completeness2/5

The tool surface is severely incomplete for log reading; it only provides a basic read function without essential operations such as filtering by date, searching for specific entries, or handling different log levels. This gap will likely cause agent failures when more complex log interactions are needed.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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