Seq MCP Server
Seq MCP Server
MCP-сервер для API-эндпоинтов Seq, предназначенный для взаимодействия с вашей системой логирования и мониторинга. Этот сервер предоставляет комплексный доступ к функциям API Seq через протокол Model Context Protocol.
Функции
Инструменты
Управление сигналами
get_signals- Получение сигналов с опциями фильтрацииФильтрация по ID владельца
Фильтрация общих/приватных сигналов
Поддержка частичного совпадения
Управление событиями
get_events- Получение событий с широкими возможностями фильтрацииФильтрация по ID сигналов
Пользовательские выражения фильтров
Настраиваемое количество событий (макс. 50)
Гибкие опции временного диапазона
Фильтрация по диапазону дат
Управление оповещениями
get_alert_state- Получение текущего состояния оповещений
Ресурсы
Список сигналов
signals- Список всех общих сигналов с подробной информациейID сигнала
Заголовок
Описание
Статус общего доступа
Информация о владельце
Related MCP server: Overwatch MCP
Конфигурация
Сервер требует следующих переменных окружения:
SEQ_BASE_URL(опционально): URL вашего сервера Seq (по умолчанию 'http://localhost:8080')SEQ_API_KEY(обязательно): Ваш API-ключ Seq
Навык seq-ops
Этот репозиторий включает навык Claude для анализа логов Seq и расследования инцидентов. После подключения MCP-сервера навык направляет Claude через структурированные расследования — проверки работоспособности, сортировку инцидентов, мониторинг после развертывания — и создает последовательные, пригодные для использования отчеты.
Установка навыка:
# From the releases page, download seq-ops.skill, then:
claude skill install seq-ops.skillИли установите напрямую из этого репозитория:
npx skills add ahmad2x4/mcp-server-seqНавык автоматически активируется, когда вы задаете вопросы вроде "утренняя проверка работоспособности", "что-то сломалось в продакшене", "проверь логи на наличие таймаутов" или "расследуй интеграцию PPSR".
Использование с Claude Code
Выполните следующую команду, чтобы добавить сервер:
claude mcp add --transport stdio \
--env SEQ_BASE_URL=http://localhost:5341 \
--env SEQ_API_KEY=your-api-key \
seq -- npx -y mcp-seqЧтобы поделиться конфигурацией с вашей командой, используйте флаг --scope project (сохраняется в .mcp.json):
claude mcp add --transport stdio --scope project \
--env SEQ_BASE_URL=http://localhost:5341 \
--env SEQ_API_KEY=your-api-key \
seq -- npx -y mcp-seqПользователи Windows: Замените
npx -y mcp-seqнаcmd /c npx -y mcp-seq, чтобы избежать ошибок "Connection closed".
Проверьте подключение сервера, выполнив /mcp внутри Claude Code.
Использование с Claude Desktop
Добавьте в ваш claude_desktop_config.json:
{
"mcpServers": {
"seq": {
"command": "npx",
"args": ["-y", "mcp-seq"],
"env": {
"SEQ_BASE_URL": "your-seq-url",
"SEQ_API_KEY": "your-api-key"
}
}
}
}Разработка
Установите зависимости:
npm installСоберите сервер:
npm run buildДля разработки с автоматической пересборкой:
npm run devЗапустите тесты:
npm run test-scriptОпции временного диапазона
Инструмент get-events поддерживает следующие опции временного диапазона:
1m- Последняя минута15m- Последние 15 минут30m- Последние 30 минут1h- Последний час2h- Последние 2 часа6h- Последние 6 часов12h- Последние 12 часов1d- Последний день7d- Последние 7 дней14d- Последние 14 дней30d- Последние 30 дней
Установка
Установите глобально через npm:
npm install -g mcp-seqИли используйте напрямую с npx — установка не требуется (как показано в примерах конфигурации выше).
Отладка
Поскольку MCP-серверы обмениваются данными через stdio, отладка может быть сложной. Сервер реализует надлежащую обработку ошибок и логирование для всех операций. Вы можете запустить тестовый скрипт для проверки функциональности:
npm run test-scriptБезопасность типов
Сервер реализует комплексную безопасность типов с использованием:
TypeScript для статической проверки типов
Zod для проверки типов во время выполнения
Надлежащей обработки ошибок и форматирования ответов
Available Tools
3 toolsget-alertstateD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get-eventsB
Retrieve and analyze a list of event filtered by parameters. Use this tool when you need to:
Investigate events that are being logged in the SEQ server
Details of each event is a structured log and can provide usefull information
Events could be information, error, debug, or critical
Analyze error patterns and frequencies
| Name | Required | Description | Default |
|---|---|---|---|
| signal | No | Comma-separated list of signal IDs | |
| filter | No | Filter expression for events | |
| count | No | Number of events to return (max 20) | |
| fromDateUtc | No | Start date/time in UTC | |
| toDateUtc | No | End date/time in UTC | |
| range | No | Time range (e.g., 1m, 15m, 1h, 1d, 7d) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It mentions that events are 'structured logs' and can be of types like 'information, error, debug, or critical,' but fails to specify critical details such as authentication requirements, rate limits, pagination behavior, or whether this is a read-only operation. The description adds some context but leaves significant gaps for a tool with 6 parameters.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is front-loaded with the core purpose but includes a bulleted list that repeats concepts (e.g., 'analyze error patterns' appears twice). Some sentences could be more efficient, and the structure is somewhat repetitive, though it remains reasonably focused.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (6 parameters, no annotations, no output schema), the description is moderately complete. It covers purpose and usage context but lacks details on behavioral traits, output format, and explicit sibling tool differentiation. It's adequate for basic understanding but has clear gaps for effective agent use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds minimal value beyond the schema by implying filtering and analysis capabilities, but doesn't provide additional syntax, format details, or usage examples for parameters. 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.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose as 'Retrieve and analyze a list of events filtered by parameters,' which specifies the verb (retrieve/analyze) and resource (events). It distinguishes from sibling tools by focusing on events rather than alerts or signals, though it doesn't explicitly contrast with them.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides explicit usage scenarios (investigate logged events, analyze error patterns) and implies context (SEQ server events). However, it lacks explicit guidance on when to use this tool versus sibling tools like 'get-alertstate' or 'get-signals,' and doesn't mention exclusions or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get-signalsD
| Name | Required | Description | Default |
|---|---|---|---|
| ownerId | No | Owner ID to filter signals by | |
| shared | No | Whether to include only shared signals (true) or private signals (false) | |
| partial | No | Whether to include partial signal matches |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
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.
2 tool updates
v1.0.0- Changed
get-alertstate1 field changed- removed
Input schema / additionalPropertiesRemoved value: -false
- Changed
get-events3 fields changed- changed
Input schema / properties / count / defaultPrevious value: -100New value: +20 - changed
Input schema / properties / count / descriptionPrevious value: -"Number of events to return (max 100)"New value: +"Number of events to return (max 20)" - changed
Input schema / properties / count / maximumPrevious value: -100New value: +20
3 tool updates
- First observed
get-alertstate - First observed
get-events - First observed
get-signals
TDQS
Scored across 3 tools
The tools appear to target different aspects of a Seq server (alert state, events, signals), but with only one description available for 'get-events', it's unclear how 'get-alertstate' and 'get-signals' differ in purpose. This creates some ambiguity, though the distinct names suggest separate functions.
All three tools follow a consistent 'get-[noun]' naming pattern using kebab-case, which is predictable and readable. There are no deviations in style or verb usage across the tool set.
With only 3 tools, this server feels under-scoped for a logging/monitoring domain like Seq, which typically involves more operations such as creating alerts, filtering logs, or managing signals. The count is too low to cover the apparent scope effectively.
The tool set is severely incomplete for a Seq server, lacking essential operations like creating or updating alerts, sending logs, or configuring signals. Only read-only 'get' operations are provided, which will limit agents to passive monitoring without the ability to interact or modify the system.
Maintenance
Related MCP Connectors
MCP server for AI access to SmartBear tools, including BugSnag, Reflect, Swagger, PactFlow, QTM4J.
- AgentCatOAuthcom.agentcat
Analytics and debugging for your MCP server — explore usage and sessions, then root-cause errors.
MCP server for the Seline Analytics API
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceAn MCP server for retrieving and filtering logs from Mezmo with a quota-conscious design and intelligent defaults. It enables users to discover and query logs by application, level, and custom time ranges to streamline debugging while minimizing API usage.1-
- AlicenseNot gradedqualityCmaintenanceAn MCP server that enables querying logs and metrics from Graylog, Prometheus, and InfluxDB 2.x. It provides tools for executing Lucene log searches, PromQL queries, and Flux queries directly within MCP-compatible clients.MIT
- FlicenseBqualityBmaintenanceMCP server that integrates with Sumo Logic's API to perform log searches, data discovery, metrics queries, and monitoring.156 npm-
- AlicenseNot gradedqualityDmaintenanceMCP server for querying structured logs from Datalust Seq, providing tools to search logs, retrieve recent errors, fetch events, and check health.MIT