"Using SearxNG for Deep Research" matching MCP servers:

An MCP server that exposes Gemini's Deep Research Agent for comprehensive web research.

A server that allows AI assistants to perform web searches using Perplexity's sonar-deep-research model with citation support.

Enables deep research evidence synthesis and citation verification by generating structured research graphs through the Model Context Protocol.

Local-first realtime web research MCP for LM Studio with keyless SearXNG, clickable citations, adaptive deep research, provider health, and one-click Windows startup.

Enables AI agents and MCP clients to run deterministic deep research consensus arbitration by parsing queries, evaluating source authority and contradictions, and returning structured JSON dossiers and telemetry.

A Model Context Protocol server that performs comprehensive web research by combining Tavily Search and Crawl APIs to gather extensive information and provide structured JSON output tailored for LLMs to create detailed markdown documents.

Enables autonomous research workflows to construct and analyze multi-source cross-citation graphs and resolve consensus from structured outputs via MCP.

Self-contained SearXNG MCP server in Docker. Aggregates 200+ search engines across 30+ categories with multi-page fanout, autocomplete, and engine discovery. Dual transport (HTTP + stdio), API key auth, and built-in Web UI reverse proxy.

A read-only MCP server for EdgeDepth's market microstructure search engine, enabling users to query recorded crypto and TradFi perpetuals for market conditions, outcomes, and reproducibility-keyed evidence directly from MCP clients.

Tools for AI assistant's deep research: * Google search + webpage reading (incl. JS-rendered pages) * Document & decks analysis * YouTube transcript extraction * Patents + academic paper search * Company and competitors research * Prompts for comprehensive-research, fact-check, summarize-url, news-briefing, patent-portfolio-analysis, competitive-analysis, literature-review, technical-deep-dive

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

Provides privacy-focused web search capabilities through SearXNG metasearch engine, enabling web, image, video, and news searches without tracking. Includes comprehensive research tools that aggregate and analyze results from multiple search engines.

Enables searching and analyzing over 560,000 CS/AI/ML research papers with LLM-powered novelty scoring and summaries. Supports literature reviews, trend monitoring, benchmark tracking, and deep research sessions through 23 specialized tools.

MCP server for AI-powered web research — search (Google, Brave, Serper, SearXNG), scrape any page, extract PDFs/DOCX/YouTube transcripts, academic & patent search. Single Go binary. Works with Claude, Cursor, Copilot, and any MCP client.

Self-hosted SearXNG metasearch for MCP clients: web, image, news, video, music and page fetch.

Open-source stdio bridge to Crawdar’s hosted business research MCP server. Nine tools provide evidence-backed company research, resumable lead searches, and a no-key fictional sandbox; the crawler backend is hosted, not self-hosted.

MCP server for evidence-aware video research, providing tools to analyze local videos, inspect specific time windows, and analyze Bilibili videos with provenance tracking and optional audio removal for privacy.

Enables AI clients to search for academic papers, fetch metadata by DOI, retrieve open access PDF links, and extract full text from research papers using the Unpaywall API. Provides seamless access to scholarly literature for research and analysis tasks.

Hosted Amazon market-intelligence MCP for Claude and ChatGPT: query brands, sellers, ASINs, under-competed niches, the cross-seller operator network, observed buy-box history, and Amazon/Walmart cross-marketplace overlap. 65 read-only research tools over a pre-collected research dataset.

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.