"A tool for conducting web research" matching MCP servers:

A version-aware cache for web research that stores and serves documentation references, preventing models from re-researching the same topics across sessions.

Comprehensive web research toolkit with 13 tools for searching (via SearXNG), crawling, package discovery, GitHub metrics, error translation, API documentation lookup, data extraction, technology comparison, and service status checking.

Provides standard MCP tools for web search, page fetching with content extraction, and a combined research workflow that returns sources with excerpts, plus a session resource and fact-check prompt template.

Enables AI agents to search and fetch high-quality information from multiple sources, including general web APIs, Wikipedia, arXiv, Hacker News, Stack Exchange, and Crossref, with optional pro-mode deep research and clean markdown page extraction.

Enables AI agents to perform web searches via DuckDuckGo without API keys and automate browser tasks with headless Chromium. Supports multi-step research workflows that automatically search and extract content from multiple pages.

Enables bounded web research through DuckDuckGo search and retrieval of public HTTPS pages as readable text, Markdown, JSON, or XML, with optional excerpt matching and strict safety validation.

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.

Enables automated web research and intelligence gathering through recursive web crawling, multi-engine search integration, and persistent SQLite storage with support for keyword filtering and multiple export formats.

Exposes web search, site mapping, scraping, crawling, schema-validated structured extraction, and stateful Playwright browser interaction as MCP tools, routing every call through the same authenticated REST gateway used by the platform's HTTP clients.

Enables keyless local web search and page fetching through MCP, with domain-filtered queries, extractable original-text evidence, hashes, and snapshot cursors for verifiable, traceable results.

A Model Context Protocol server that provides real-time web search capabilities to AI assistants through pluggable search providers, currently integrated with the Brave Search API.

Provides comprehensive SEO analysis by crawling websites and generating AI-powered keyword insights, search volume data, and competitor strategies. It delivers detailed reports on keyword clusters and commercial intent to help optimize digital marketing workflows.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Exposes web search and page fetching tools via the MCP protocol, allowing integration with AI editors like Cursor for autonomous research workflows.

A custom MCP tool that integrates Perplexity AI's API with Claude Desktop, allowing Claude to perform web-based research and provide answers with citations.

Enables comprehensive academic research by searching and analyzing papers from PubMed, Google Scholar, ArXiv, and JSTOR. Provides full-text access, citation management, and research organization through five powerful consolidated tools.

Semantic navigator for MCP tools that finds relevant tools by natural language intent, reducing token usage by 95%.

Multi-purpose research MCP server integrating web search, deep research, web scraping, research methodology routing, and GPT Researcher report generation.

Enables web search, URL content extraction, arithmetic calculation, and report export via Exa AI and Python libraries.

Provides a Google search tool via the Serper API, returning structured results and a summary answer for LLMs like Claude.