"A server for finding academic research" matching MCP servers:

A stdio MCP server for traceable scholarly retrieval and evidence-grounded literature review, with deterministic provider fusion, conservative ID canonicalization, and provenance-preserving citation traversal.

Automates the full academic research pipeline from refining research questions to generating publication-ready reports, integrating with major AI clients.

Provides tools for AI models to search and retrieve information from five major Polish academic and government databases, including scientific articles and research datasets. It enables users to query platforms like Biblioteka Nauki and Repozytorium UJ through a standardized interface hosted on Cloudflare Workers.

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.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

An MCP server that searches Korean academic databases (KCI, DBpia, RISS) via their official Open APIs, enabling Claude and other MCP clients to retrieve academic papers.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

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

A keyless MCP server that lets agents search YouTube across multiple languages and queries, pull transcript highlights, ranges or query-matched passages, fetch real video frames, comments, chapters and channel outlier scores, all without an API key, OAuth or cookies. It also ships a research skill that plans multi-language queries, fans out to subagents, spot-checks quotes and reports coverage.

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.

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.

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.

Enables AI agents to perform read-only Reddit research, including discovering relevant subreddits, ranking threads by real discussion volume, and returning verbatim quotes with permalinks.

MCP server for technical research in the TOTVS Protheus ecosystem, enabling AI agents to query official documentation, community knowledge bases, and release notes through structured tools. It supports runtime error debugging and ADVPL code generation.

Provides comprehensive access to Roam Research's API functionality. This server enables AI assistants like Claude to interact with your Roam Research graph through a standardized interface.

Enables AI coding agents to deploy and manage full multi-service applications on Constructor from a single request, covering image builds, service configuration, start/stop lifecycle, logs, and file syncing on research desks. It handles browser-based sign-in and token renewal automatically so agents can inspect deployments and report results without manual setup.

Provides Claude with real-time ETF research tools including quotes, expense ratios, full SEC-filed holdings, overlap analysis, comparisons, and performance data without requiring an API key.

Enables any MCP client to drive a research-to-report workflow end to end: planning a source-target plan with kill criteria, scoring each fetched source with an explainable 0–100 quality breakdown, and assembling a citation-registry report. Report checking mechanically enforces citation coverage, returning orphan claims as an error list rather than a pass.

Enables agentic research workflows to prepare scholarly deposits with deterministic validation, file manifests, and package digests, and to create/update Zenodo drafts, while requiring operator-signed approval before publication.

Enables historical options research and regression testing against tastytrade's Backtester API, allowing users to discover backtest coverage, submit and poll backtests, and simulate historical trades without placing orders.

Implements Anthropic's multi-agent research architecture with subagent spawning, adaptive stopping, and citation processing for automated research.

An MCP server for cross-platform social media research that enables scraping, semantic search, and analysis across seven major social platforms. It uses Apify for data retrieval and stores results in a local database for AI-powered trend detection and profile analysis.

Exposes fourteen read-only tools over the HEY Research public API, letting assistants look up Robinhood Chain projects, builders, shipped work, relationships and market context, with each answer tagged FACT, DERIVED or UNKNOWN and unmeasured fields omitted rather than zeroed. Runs over stdio or hosted Streamable HTTP, and gives no trade instructions.

Enables MCP clients to drive local Codex on a target Git repository: inspect repo state, start and follow up on tasks, review events and diffs, and record audit evidence for research governance.

Enables deep research into cryptocurrency tokens by gathering data from multiple sources like CoinGecko and DeFiLlama to generate structured reports. It allows users to track research progress, fetch web content, and manage resources locally for comprehensive crypto analysis.

Deep Research for crypto - free & fully local 🧠

This server enables deep, local cryptocurrency token research by aggregating CoinGecko, CoinMarketCap, DeFiLlama, and web-search data, generating structured plans, saving resources, and tracking research progress without API keys.

Enables deep, fully local cryptocurrency token research across CoinGecko, CoinMarketCap, DeFiLlama, and web sources, with structured plans, live market and DeFi data, source lookups, and saved resources. It works without an API key and keeps data on the user's machine.

A Model Context Protocol (MCP) server enabling Claude to read, write, search, and analyse your Obsidian vault with advanced research capabilities.

Enables deep crypto token research by gathering and structuring data across CoinGecko, CoinMarketCap, DeFiLlama, and web search without API keys. It creates research plans, tracks section status, saves sources as resources, and generates comprehensive token reports locally.

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

Enables local, free crypto token research across CoinGecko, CoinMarketCap, DeFiLlama, and web search, producing structured reports with saved resources and progress tracking without requiring an API key.

Enables SEO keyword research with Google Suggest, intent classification, long-tail discovery, and related queries, with pay-per-call via x402 micropayments.

Enables deep cryptocurrency token research by pulling live market data, exchange listings, protocol TVL, and web-search results into structured, status-tracked reports. Runs entirely locally with no API key required.

Enables local, deep research on crypto tokens across CoinGecko, CoinMarketCap, DeFiLlama, and web search, with tools for live market data, exchange listings, protocol TVL, structured reports, and saved resources. It requires no API key and keeps research on your machine.

Enables deep, local research on crypto tokens across CoinGecko, CoinMarketCap, DeFiLlama, and web search, producing structured reports without requiring an API key.

A MCP server for academic literature retrieval, aggregating multiple data sources like arXiv, Crossref, OpenAlex, PubMed, and Semantic Scholar to provide search, details, citations, trends, and recommendations.

Fetches public web pages and extracts clean text, metadata, headings, and focus-matched facts for read-only research through MCP clients.

Enables AI assistants to research any crypto token by pulling live market data, exchange listings, DeFi protocol metrics, and web search results from sources like CoinGecko, CoinMarketCap, and DeFiLlama, then assembling structured reports with tracked progress. It runs fully locally with no API key required.

Provides semantic search and complete document retrieval by ID through OpenAI's Vector Store API, letting deep research agents access company-specific knowledge and tools.