"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.

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.

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.

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.

MCP server that fetches web pages and uses local Qwen models to answer questions about their content, with site-scoped search and map-reduce chunking for long pages.

Provides 11 composable MCP tools for A-share market research, covering quotes, news, technical signals, sector performance, portfolio risk, backtesting, and paper trading, with traceable data sources and calculation basis.

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

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.

Enables performing Google searches and retrieving content from the top 5 non-social media results. Returns crawled web page content as a single consolidated string for analysis.

Enables federated multi-source research by fanning out queries across web, community, and social sources, deduplicating and interleaving results, and storing a persistent corpus for cross-checking.

A read-only FastMCP server for academic research that lets agents search papers, inspect metadata, follow citation graphs, generate BibTeX, and read full texts of open-access PDFs via semantic scholar, OpenAlex, arXiv, DBLP, and Crossref.

A deep-research MCP server exposing a single task-augmented tool that runs GPT-Researcher with Tavily search, Anthropic Claude, and OpenAI embeddings, streaming progress via MCP tasks and Upjack entity stream.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

MCP server for web research using anti-detect Camoufox browser. Enables search, page reading (including JS/SPA), batch fetching, clicking, typing, and live browsing sessions with caching and retries.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.