"A service for finding research papers and literature on deep learning" matching MCP servers:

Enables deep research tasks using a multi-agent architecture that integrates any LLM and MCP tools. Available via MCP stdio, streamable HTTP, and SSE transports.

Enables AI assistants to perform deep web research and generate comprehensive reports using a multi-agent divide and conquer approach.

An open-source deep research MCP server that provides multi-source web search and synthesis with citations, enabling agents to perform citation-backed research using Qwen3-30B-A3B-Thinking and other models.

A Python-based agent that integrates research providers (OpenAI, Gemini, DR-Tulu, Open Deep Research) with Claude Code via the Model Context Protocol for automated deep research.

Enables LLMs to search and retrieve academic papers from arXiv by topic, author, category, or ID.

Enables web search and deep research capabilities through the Tavily API, allowing users to gather comprehensive information from the web with configurable search parameters and planning rounds.

Enables AI tools to access local crypto market data, run analyses, perform 66-item deep research, search RAG context, and retrieve generated reports and prompts via MCP.

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.

Bridges MCP clients to the Windows ChatGPT Classic desktop app, letting them drive Think-mode deep research queries through UI automation with topic-based session reuse, optional research-prompt templates, and a tool to diagnose the app window and Think toggle state.

Enables AI agents to conduct zero-key multi-source deep research, run quick searches across DuckDuckGo, Wikipedia, and ArXiv, and cryptographically verify claims with token-compressed, citation-backed evidence.

An MCP server that provides autonomous, multi-source web research capabilities for AI agents. It delivers comprehensive, validated information through deep research tools while maintaining security and compatibility with various LLM providers.

MCP server that runs Google Gemini Deep Research using live Chrome session cookies, enabling autonomous web research and cited report generation without an API key.

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

MCP server for scientific grounding: search and discover open-access research papers across arXiv, OpenAlex, Crossref, PubMed, and Semantic Scholar, and retrieve references/citations from paywalled journals via public DOI/abstract metadata.

Enables users to create and refine a research outline, queue report generation in the background, and retrieve progress or completed Markdown reports, with automatic checkpointing so unfinished work can resume after a restart.

Enables software and AI to work with accounting engagements through portable concepts such as trial balances, adjustments, working papers, and review notes, with declared adapter capabilities and validate-before-commit mutations.

Provides specialized AI-powered comprehensive research and analysis capabilities by integrating with advanced deep research agents, offering unlimited queries with no rate limits and faster performance than comparable services.

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

A Model Context Protocol compliant server that facilitates comprehensive web research by utilizing Tavily's Search and Crawl APIs to gather and structure data for high-quality markdown document creation.

An MCP server for deep research that performs search, scraping, synthesis, fact-checking, and persistent memory, enabling users to conduct comprehensive research tasks via Claude.

Enables iterative deep research by integrating AI agents with search engines, web scraping, and large language models for efficient data gathering and comprehensive reporting.

An MCP server that performs iterative deep research using Google Gemini 2.5 Flash with search grounding and URL context, producing professional Markdown reports.

Enables private single-user research workflows through search, page reading, document conversion, cached evidence retrieval, RSS, and interactive Chromium/Camoufox browsing over authenticated HTTP.

Enables searching for upcoming academic conferences and events from WikiCFP by keywords, returning detailed information including dates, locations, submission deadlines, and related resources.

Enables AI-powered iterative research using Google Gemini 2.5 Flash with Google Search Grounding, conducting deep dives with configurable depth and breadth to generate comprehensive, professionally structured research reports.

Enables iterative deep web research through MCP clients, using SearXNG search, Crawl4AI parsing, and LLM synthesis.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Enables searching and retrieving molecular hydrogen medical literature from H2 Papers database, with per-paper safety notes always included in results.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

Web search, clean page reading & one-call research dossiers for AI agents. No API key — your agent does the synthesis.