"Research papers and studies on artificial intelligence" matching MCP servers:

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

A unified MCP server for academic paper discovery, citation exploration, and research intelligence workflows over multiple scientific knowledge sources.

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 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.

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

Provides access to real-time LLM pricing, speed metrics, and performance benchmarks for over 300 models from Artificial Analysis. It enables users to list, filter, and compare models based on costs, tokens per second, and intelligence indices.

Enables agents to search, analyze, and explore arXiv academic papers with advanced multi-field search, author lookup, category browsing, citation extraction, and bibliography export.

Papers by Ouroboros Apps (https://ouroborosapps.com). Research paper search with real citations from OpenAlex, Semantic Scholar, PubMed, Crossref, and arXiv: find papers, fetch abstracts, follow citations, and format references. Connect by pasting https://papers-mcp.vercel.app/mcp into Claude, Cursor, Grok, or ChatGPT developer mode (OAuth). Docs: https://ouroborosapps.com/docs/papers

Enables assistants to search, fetch daily curated lists, retrieve metadata, and generate citations for Hugging Face papers.

Enables coding and research agents to run paid, cited deep research on AI infrastructure, MCP, and security topics via remote MCP tools, with query-tied excerpt packs and uncited or failed calls billed at $0.

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.

Enables research on prospects, pull call transcripts, and enrich leads using Gong, ZoomInfo, Clay, and LinkedIn Sales Navigator through natural language.

MCP server exposing ATLAS research capabilities: live tokenized stock market data, on-chain source-of-truth reads, and published research atlases. Connects to MCP clients over stdio with no API keys required for public testnet endpoints.

MCP server for extracting structured intelligence from YouTube channels and videos — transcripts, topics, and competitive signals for AI-powered research workflows.

MCP server that wraps Shopify, Amazon, and Google Maps intelligence tools. AI agents pay autonomously in USDC on Base via x402 — no API keys or accounts needed.

Agent payments ecosystem intelligence. Scans GitHub, Hacker News, and npm for activity across AP2, ACP, x402, MPP, and UCP protocols. Returns scored and classified opportunities. Free protocol info and comparison, paid scan via x402 USDC

Enables creators to connect their social channels so AI assistants can read their published Instagram, TikTok, YouTube, LinkedIn and Threads history, including posts, metrics, transcripts, comments and audience data, then use bundled skills to plan next posts, research creators, maintain brand docs, manage product catalogues and find outreach targets.

Enables evidence-grounded implementation research by searching GitHub, scoring candidate repositories, extracting source evidence, and generating planning artifacts like research and implementation checklists.

Enables running a stateless Model Context Protocol server over Streamable HTTP on Cloudflare Workers or any fetch-capable runtime, with signed sessions, origin checks, and JSON-RPC request handling. It lets developers define tools with JSON Schema validation and per-request context.

Enables AI agents to search academic papers, analyze citations and authors, track trending research, and find semantically related work using free scholarly sources.

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

Provides a private set of high-level tools for web research, focused URL investigation, read-only GitHub research, and persistent semantic memory via a Streamable HTTP MCP gateway.

Enables listing image blobs from Azure Blob Storage and generating descriptions using Azure OpenAI's gpt-4o vision model.

MCP server deployed on EdgeOne Pages, providing a Streamable HTTP MCP server for intelligent chat applications with tool capabilities like generating webpages.

A comprehensive Model Context Protocol (MCP) server implementing the latest MCP specification with tools, resources, prompts, and enhanced sampling capabilities that features HackerNews and GitHub API integrations for AI-powered analysis.

Enables AI agents to perform professional-grade deep research by aggregating real-time data from multiple sources, evaluating source credibility, and generating comprehensive reports.

An MCP server exposing a registry of paper-backed quantitative trading methods plus a deterministic, no-LLM decision helper for reproducible trading research.

Provides machine learning researchers with tools for creating publication-quality scientific visualizations, statistical plots, and 2D data representations. It streamlines the research workflow by enabling AI assistants to generate complex figures from CSV, JSON, or direct data inputs.

Korean crypto market data API for AI agents. Real-time Kimchi Premium (Upbit vs Binance), Korean exchange prices, USD/KRW FX rate. First verified Korean market data MCP server. Pay-per-use via x402 on Base.

Enables AI assistants to perform comprehensive research by searching Google, mining Reddit discussions, scraping web content with JS rendering, and synthesizing findings with citations into structured context.