Web Research MCP

Web Research MCP

Enables AI agents to search the web, fetch pages, and synthesize research through three tools: web_search, fetch_page, and research_topic, all in a single pay-per-use API call.

Category
访问服务器

README

Web Research MCP — Search, Fetch & Synthesize

An MCP server for AI agents that need to search the web, read pages, and synthesize research — all in a single tool call.

Pay-per-use. No subscription. No idle charges. Powered by Apify Standby.


What it does

Three tools, designed to work together:

Tool What it does
web_search Search the web. Returns titles, URLs, and snippets. Uses Brave Search API (if configured) or DuckDuckGo fallback.
fetch_page Fetch any URL and return clean markdown. Strips ads, nav, and boilerplate. Supports article, full-body, or links-only extraction.
research_topic Multi-step research in one call: search → fetch → score relevance → deduplicate → extract key facts → synthesize.

Quick connect

Add to your MCP client config (Claude Desktop, Cursor, etc.):

{
  "mcpServers": {
    "web-research": {
      "type": "http",
      "url": "https://idapixl--web-research-mcp.apify.actor/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_APIFY_API_TOKEN"
      }
    }
  }
}

Replace YOUR_APIFY_API_TOKEN with your token from apify.com/account/integrations.

Claude Code:

claude mcp add web-research https://idapixl--web-research-mcp.apify.actor/mcp --transport http

Cursor / Windsurf — add via Settings > MCP Servers > HTTP URL.


Pricing

Pay only for what you use. Charged per tool call.

Event Price
web_search $0.003
fetch_page $0.005
research_topic $0.025 (single charge, includes all sub-calls)

Brave Search API setup (optional but recommended)

By default the actor uses DuckDuckGo HTML scraping, which works without any key. For better results and freshness filtering:

  1. Go to brave.com/search/api and sign up for the free tier (2,000 queries/month)
  2. Copy your API key
  3. In the actor input, set Brave Search API Key (stored as secret — never exposed in logs)

When the key is set, web_search and research_topic will use Brave Search automatically. DuckDuckGo is the fallback on error.


Example tool calls

Search with freshness filter (Brave only)

{
  "tool": "web_search",
  "arguments": {
    "query": "Claude 4 release announcement",
    "maxResults": 5,
    "freshness": "pw"
  }
}

Read a page — links extraction mode

{
  "tool": "fetch_page",
  "arguments": {
    "url": "https://docs.anthropic.com/en/api/getting-started",
    "extractMode": "links"
  }
}

Deep research with focus

{
  "tool": "research_topic",
  "arguments": {
    "topic": "Model Context Protocol",
    "maxSources": 3,
    "focus": "pricing and monetization"
  }
}

Input configuration

Field Type Default Description
braveApiKey string (secret) Brave Search API key for higher-quality search
maxSearchResults integer 5 Max results per web_search call (1–10)
fetchTimeoutSecs integer 30 Page fetch timeout in seconds (5–120)
proxyConfiguration object Apify Proxy config (residential recommended for best success rates)

Tool reference

web_search

  • query (required) — search query, max 500 chars
  • maxResults (optional) — 1–10, default 5
  • freshness (optional) — pd past day, pw past week, pm past month, py past year (Brave only)

fetch_page

  • url (required) — page URL
  • timeoutSecs (optional) — 5–120, default 30
  • extractMode (optional) — article main content (default), full entire body, links all links

research_topic

  • topic (required) — research topic or question, max 500 chars
  • maxSources (optional) — 1–5, default 3
  • focus (optional) — sub-question to narrow the research (e.g. "performance benchmarks"), max 200 chars

Notes

  • Stateless: each MCP request gets an isolated server instance
  • research_topic scores relevance, deduplicates near-duplicate sources (>70% sentence overlap filtered), and extracts key sentences containing your query terms
  • Proxy: Apify Residential proxies improve success rates on pages that block datacenter IPs
  • Charges fire before execution — if a page fails to load after charging, the tool returns an error

Built by Idapixl. TypeScript, MCP SDK 1.x, Apify SDK 3.x.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选