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

An agent-based tool that provides web search and advanced research capabilities including document analysis, image description, and YouTube transcript retrieval.

An AI-powered deep research agent that automates the full research pipeline from web search to structured executive reports using a 4-tool pipeline (search, fetch, cluster, report).

Monitors PubMed and medRxiv for configurable research topics, summarizes papers using a local LLM, and stores deduplicated results in a local database.

Enables agents to search the main academic literature APIs (arXiv, Crossref, Semantic Scholar) and the web via Tavily, and to extract full text from PDFs or web pages, returning each source's own native metadata fields.

Enables autonomous agents to cross-reference factual claims against multiple source documents, detect ungrounded or hallucinated statements, and return normalized confidence scores via the verify_claim tool.

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.

A specialized MCP server that provides a structured interface to the Europe PMC database for biological and clinical evidence retrieval. It enables LLMs to gather, rank, and synthesize published research focusing on therapeutic targets and disease associations.

Enables fully local, zero-cost autonomous research by planning questions, searching and reading web pages, generating cited summaries or reports, and retaining semantic memory across sessions.

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.

Enables indexing and searching a local library of electrical-engineering PDFs by topic and intent, re-reading cited physical pages for verification, incrementally syncing directories, and producing OpenAlex-based daily literature digests as local Markdown reports with traceable sources.

An MCP server for organizing research papers, books, and digital sources by tracking reading progress and taking structured notes. It enables AI assistants to manage literature databases and link sources to specific concepts within a knowledge base.

Enables AI agents to perform deep research across multiple sources, arbitrating consensus while evaluating source authority and detecting contradictions. It integrates via MCP with clients like Claude Desktop and Cursor to deliver deterministic, structured research dossiers.

An MCP server that enforces a pedagogical workflow to teach topics step by step, using research, decomposition, and spaced retrieval practice.