Idapixl Web Research MCP

Communauté Recherche et web

Web research on Apify: Brave and DuckDuckGo search, page fetching to clean Markdown, and multi-step research with relevance scoring and key fact extraction.

Installation

Les étapes d'installation sont dans la documentation ci-dessous. Documentation

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Web Research MCP — Search, Fetch & Synthesize
  2. What it does
  3. Quick connect
  4. Pricing
  5. Brave Search API setup (optional but recommended)
  6. Example tool calls
  7. Input configuration
  8. Tool reference
  9. Notes

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:

ToolWhat it does
web_searchSearch the web. Returns titles, URLs, and snippets. Uses Brave Search API (if configured) or DuckDuckGo fallback.
fetch_pageFetch any URL and return clean markdown. Strips ads, nav, and boilerplate. Supports article, full-body, or links-only extraction.
research_topicMulti-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.

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

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"
  }
}
{
  "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

FieldTypeDefaultDescription
braveApiKeystring (secret)—Brave Search API key for higher-quality search
maxSearchResultsinteger5Max results per web_search call (1–10)
fetchTimeoutSecsinteger30Page fetch timeout in seconds (5–120)
proxyConfigurationobject—Apify Proxy config (residential recommended for best success rates)

Tool reference

  • 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.

Questions fréquentes

Qu'est-ce que Idapixl Web Research MCP ?

Web research on Apify: Brave and DuckDuckGo search, page fetching to clean Markdown, and multi-step research with relevance scoring and key fact extraction.

Comment installer Idapixl Web Research MCP ?

Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.

Idapixl Web Research MCP est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient Idapixl Web Research MCP ?

Il est publié par idapixl. AI.tn le référence sans le maintenir ni le recommander.

Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.