"research" matching MCP servers:

Orchestrates distributed research drones on Google Cloud Run, enabling scalable and bidirectional research task management.

An MCP server for academic literature research that integrates Scopus, CrossRef, OpenAlex, and Unpaywall to search documents, get abstracts, author profiles, citing papers, and open-access PDF links.

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.

Enables YouTube integration with Claude Code, including video search, metadata retrieval, transcript fetching, channel exploration, and trending videos.

Enables declarative FDTD validation, guarded cloud-task workflows, and normalization of Tidy3D simulation results into metadata and bounded CSV observables, while keeping credentials and cloud-execution privileges isolated.

MCP server that searches 9 sources, scrapes full content, reranks results, and synthesizes cited answers with free LLMs.

Enables querying a single academic paper by DOI, PMID, or arXiv ID to retrieve its open-access copies, licenses, linked datasets, code, citations, and retraction status from multiple scholarly sources in one call.

MCP server that answers questions using Reddit discussions as evidence, searching threads, fetching comments, and ranking useful context, with optional cited answer synthesis.

A citation-finding research assistant for scientists, exposed as an MCP server that extracts claims from draft paragraphs, searches multiple academic sources, scores paper quality, and explains recommendations.

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 capturing web evidence, freezing content-addressed snapshots, and comparing research agents on the same sources with traceable access and quotations.

Enables in-chat scientific viewers for molecular structures, sequence alignments, and slide images, plus data tools for searching structures, fetching sequences, aligning them, and drafting NGS analysis plans.

Enables AI-moderated interviews that become cited, searchable transcripts, with a repository Q&A tool that returns exact transcript quotes.

Enables keyword idea and question discovery for any seed term, with search volume, difficulty, and SERP intent data.

Enables researching one US or KRX stock at a time from an AI chat client, returning SEC EDGAR financials and insider filings alongside unofficial daily price history and roughly 40 computed technical, risk, entry-scenario and EPS-scenario factors. It is read-only, holds no brokerage connection, and labels every value with its source and as-of date.

Provides offline access to Ellen Gould Harmon's writings with full-text search, reference navigation, contextual retrieval, and PDF generation capabilities for academic research and study.

Recommends study designs for a research question, states the identifying assumptions to verify, and returns runnable R, Python, or Julia code with a formatted citation for every source, drawn from methodological textbooks, an R package, and research articles on causal inference, econometrics, statistics, and machine learning.

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 AI agents to search videos, retrieve metadata and transcripts, pinpoint exact moments via hybrid semantic search, and conduct multi-video research with timestamp deep links—all without YouTube API keys.