F
licenseNot graded
qualityD
maintenanceEnables web search across multiple search engines (DuckDuckGo, Bing, Startpage) with parallel execution and result deduplication. Also provides web page content extraction capabilities.
2
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Serpex MCP
Serpex MCP
Сервер Model Context Protocol (MCP), который предоставляет возможность веб-поиска по нескольким поисковым системам через Serpex API. Выполняйте поиск в Google, Bing, DuckDuckGo, Brave, Yahoo и Yandex с автоматическим выбором поискового движка и структурированными JSON-результатами.
Возможности
✅ Поддержка нескольких поисковых систем: Доступ к 6 поисковым системам (Google, Bing, DuckDuckGo, Brave, Yahoo, Yandex)
✅ Автоматическая маршрутизация: Автоматически выбирает лучшую доступную поисковую систему
✅ Фильтрация по времени: Фильтруйте результаты за день, неделю, месяц или год
✅ Структурированные результаты: Чёткие и согласованные JSON-ответы
✅ Быстро и надёжно: Встроенная обработка капчи и ротация прокси
✅ Простая интеграция: Работает с Claude Desktop, Jan AI и любым MCP-совместимым клиентом\
Related MCP server: Serper Search and Scrape MCP Server
Установка
Быстрый старт (npx - рекомендуется)
Установка не требуется! Используйте npx для запуска напрямую:
npx serpex-mcpГлобальная установка
npm install -g serpex-mcpЛокальная установка
npm install serpex-mcpИспользование
С помощью Claude Desktop
Добавьте в конфигурацию Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json на macOS):
{
"mcpServers": {
"serpex": {
"command": "npx",
"args": ["-y", "serpex-mcp"],
"env": {
"SERPEX_API_KEY": "your-api-key-here"
}
}
}
}С другими MCP-клиентами
Любой MCP-совместимый клиент может использовать этот сервер. Настройте его следующим образом:
Команда:
npxАргументы:
-y serpex-mcpПеременная окружения:
SERPEX_API_KEY=your-key
Автономное использование
export SERPEX_API_KEY="your-api-key-here"
serpex-mcpДоступные инструменты
serpex_search
Осуществляет поиск в вебе с помощью многодвижкового API Serpex. При необходимости загружает полное содержимое страницы (markdown)
для лучших результатов прямо в выводе поиска — без гарантий, поэтому проверяйте каждый
результат на наличие content или content_error.
Параметры:
q(обязательный): строка поискового запроса (максимум 500 символов)include_content(необязательный, логический): также загружать полное содержимое страницы (markdown) для лучших результатов. Без гарантий — примерно 79% URL результатов возвращают контент; заблокированные страницы или страницы, запрещённые для роботов, возвращаютcontent_error. По умолчанию:false.content_results(необязательный,5 | 10): количество лучших результатов, для которых загружать контент, когдаinclude_contentравенtrue. Должно быть ровно5или10. По умолчанию:5.
Пример:
{
"q": "artificial intelligence trends 2025",
"include_content": true,
"content_results": 5
}Ответ (JSON, в виде текстового вывода инструмента) содержит счётчики content_requested /
content_delivered и для каждого результата — content при успехе или content_error
при ошибке — оба ключа опускаются, если контент не запрашивался.
Получение API-ключа
Посетите serpex.dev
Зарегистрируйте бесплатную учётную запись
Получите свой API-ключ в панели управления
Используйте его в переменной окружения
SERPEX_API_KEY
Информация об API
Базовый URL:
https://api.serpex.devДокументация: https://serpex.dev/docs
Цены: Доступен бесплатный тариф и недорогие платные планы
Разработка
Сборка из исходного кода
git clone https://github.com/divyeshradadiya/serpex-mcp.git
cd serpex-mcp
pnpm install
pnpm buildЗапуск тестов
export SERPEX_API_KEY="your-key-here"
pnpm testЛицензия
MIT
Ссылки
Available Tools
1 toolserpex_searchB
Search the web using Serpex API. Returns structured search results from multiple engines (Google, Bing, DuckDuckGo, Brave, Yahoo, Yandex).
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | Yes | Search query (max 500 characters) | |
| engine | No | Search engine (default: auto) | |
| time_range | No | Filter by time range |
TDQS
B3.2/5.0
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the API and return type (structured results from multiple engines), but fails to disclose critical traits such as rate limits, authentication needs, error handling, or pagination. For a search tool with no annotation coverage, this leaves significant gaps in understanding its behavior.
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 front-loads the core purpose ('Search the web using Serpex API') and adds necessary detail ('Returns structured search results from multiple engines'). Every word earns its place with no redundancy or waste.
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 complexity of a search API tool with no annotations and no output schema, the description is incomplete. It lacks information on response format, error cases, rate limits, and authentication requirements. While the input schema is well-covered, the overall context for effective tool use is insufficient.
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%, with all parameters well-documented in the input schema (e.g., query max length, engine options, time range enums). The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline of 3 for high schema coverage without compensating value.
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 ('Search the web') and resource ('using Serpex API'), specifying it returns structured results from multiple engines. It's specific about the verb and resource, but since there are no sibling tools, it doesn't need to distinguish from alternatives, making it clear but not requiring sibling differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for web searching with structured results from multiple engines, but provides no explicit guidance on when to use this tool versus alternatives (e.g., other search methods or APIs). Since there are no sibling tools, it doesn't need to differentiate, but it lacks context on optimal use cases or exclusions.
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 tool update
- First observed
serpex_search
TDQS
B3.3/5.0
Scored across 1 tool
Disambiguation5/5
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool has a clear and distinct purpose: searching the web using the Serpex API.
Naming Consistency5/5
Since there is only one tool, naming consistency is inherently perfect. The tool name 'serpex_search' follows a clear and logical pattern, combining the server name with the action.
Tool Count2/5
A single tool is too few for a web search server, as it lacks essential operations like filtering results, handling pagination, or accessing specific search engines individually. This minimal set limits functionality and may cause agent failures in complex tasks.
Completeness2/5
The tool surface is severely incomplete for a web search domain. While the search tool exists, there are significant gaps such as no ability to refine searches, manage result formats, or perform advanced queries, which are common in search APIs.
Maintenance
ActivityMaintained
ResponsivenessNo issues
Related MCP Connectors
Web search, agentic search, news, page retrieval, sitemaps, and trending topics through Search1API.
Google, Bing, DuckDuckGo and Google Maps search results, free without an API key.
Provides AI assistants with access to Seltz's powerful Web Search capabilities.
LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.
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