Best MCP servers for research & academic

Fetches and extracts web content using Playwright's headless browser capabilities, delivering clean, readable content from JavaScript-heavy websites in HTML or Markdown format for research and information gathering.

Access a versatile collection of tools for media generation, web scraping, and cryptocurrency research. Convert between data formats, summarize long documents, and extract text from images or PDFs with ease. Streamline your workflow by automating tasks like SEO metadata extraction, code reviews, and content creation.

Integrates with biomedical databases including ClinicalTrials.gov, PubMed, and MyVariant.info to provide structured access to clinical trials, research articles, and genetic variants with intelligent data rendering and source attribution.

Provides real-time financial analysis tools leveraging market data from yfinance and CNN's Fear & Greed Index for investment research, portfolio analysis, and market sentiment evaluation.

# EmblemAI MCP EmblemAI is a hosted Model Context Protocol server that gives AI agents a full-featured crypto wallet plus **200+ tools** for trading, DeFi, NFTs, and on-chain analytics across **7 blockchains**: - **Bitcoin** — native BTC, Ordinals inscriptions, Runes, BRC-20, Stamps / SRC-20, Alkanes, rare sats - **Solana** — SOL + SPL tokens, Jupiter-routed swaps, Solana memecoin discovery, RugCheck - **Ethereum** — native ETH, ERC-20, ERC-721 / ERC-1155 NFTs, ETH swaps - **Base** — native ETH on L2, ERC-20, NFTs, Clanker discovery - **BSC** — native BNB, BEP-20, FourMeme bonding-curve discovery and trading - **Polygon** — native MATIC, ERC-20, swaps - **Hedera** — HBAR, HTS tokens, MemeJob discovery and trading Plus prediction markets via **Polymarket**, market research, conditional orders (limit / stop-loss / take-profit) on supported chains, and on-chain analytics. ## Quick start The Smithery deployment connects directly to the hosted EmblemAI MCP at `https://emblemvault.ai/api/mcp`. You only need an API key: 1. Sign in at [emblemvault.ai](https://emblemvault.ai). 2. Open **Settings → Vault Access Key** and copy your key. 3. Paste it as the `apiKey` parameter in the Smithery connection form. Browsing tools (`tools/list`) works anonymously, so you can inspect the catalog before authenticating. ## Auth modes | Mode | When to use | Scope | | --- | --- | --- | | **API key** (`x-api-key`) | Unattended agents, cron jobs, server-to-server, any workflow that mints tokens or sends transactions | Full read + write, no expiry until revoked | | **OAuth 2.0 + PKCE** (RFC 7591 Dynamic Client Registration) | Interactive sessions where a human can click a browser popup | Read-only `vault:read`, short-lived JWT | | **x402 micropayments** | Pay-per-call across the public catalog without an account | Per-tool-call USDC settlement | The Smithery deployment defaults to the API-key path, configured via the `apiKey` parameter (sent to the upstream as the `x-api-key` header). ## Enabling transactional tools State-changing tools (sends, swaps, mints, conditional-trade creates) are hidden by default. Opt in by setting the `enableTransactions` parameter to `enabled` — Smithery's gateway forwards it as the `x-mcp-transactions: enabled` header. Transactional tools then surface in `tools/list` with a `-transaction` suffix, which makes them easy to allow- or block-list with wildcard rules in the host client. Note: transactional tools also require API-key auth — OAuth bearers do not pass the `vault:write` gate. ## Specialized listings (filter) The full 200-tool surface is wide. For Bitcoin-only, Solana-only, or any other curated slice, use the stdio bridge `@emblemvault/mcp` (npm) and set: ``` EMBLEMAI_TOOLS_FILTER="bitcoin*,*Rune*,*Inscription*" ``` The bridge applies the glob filter to both `tools/list` and `tools/call`, exposing only the matching subset to the host LLM. The hosted Smithery deployment always exposes the full catalog; the filter is a stdio-side feature. ## Categories Trading · DeFi · NFTs · Wallet · Bitcoin Ordinals · Polymarket prediction markets · Cross-chain · Market analytics · Research / web search. ## Links - Hosted MCP: `https://emblemvault.ai/api/mcp` - Stdio bridge: `@emblemvault/mcp` ([github](https://github.com/EmblemCompany/Agent-skills/tree/main/mcp-bridge)) - Repo: [EmblemCompany/Agent-skills](https://github.com/EmblemCompany/Agent-skills) - Web app: [emblemvault.ai](https://emblemvault.ai) - Glama listing: [glama.ai/mcp/servers/EmblemCompany/Agent-skills](https://glama.ai/mcp/servers/EmblemCompany/Agent-skills) - Docs: [emblemvault.ai/docs/mcp](https://emblemvault.ai/docs/mcp) ## License MIT (stdio bridge + documentation). Hosted MCP is managed SaaS.

Integrates with the Serper API to enable web searches and webpage content extraction, supporting research, content aggregation, and data mining tasks.

Search and analyze scientific papers from arXiv.

Integrates with DataForSEO's SEO and marketing analytics APIs to provide direct access to search engine results, keyword research, content analysis, and competitive market insights for digital marketers and SEO professionals.

Web research tool combining search and content extraction with Playwright.

Search PubMed/Europe PMC, fetch articles and full text (PMC/EPMC/Unpaywall), citations, MeSH terms.

LiveDataLink is a hosted MCP server giving AI agents 182 real-time data tools across 36 domains through a single Streamable HTTP endpoint. Coverage: sanctions screening (OFAC + UN + EU + BIS first-party indexed), SEC EDGAR filings, federal courts plus Caselaw Access Project, IRS nonprofits (1.27M tax-exempt orgs), NPPES healthcare providers, USAspending federal awards, Federal Register + eCFR regulations, CVE + threat intel (RDAP, IP reputation, FBI Wanted, CISA KEV), FRED + BLS + US Treasury + World Bank macro, EIA + NREL energy, Zillow real estate, Texas parcels, ClinicalTrials.gov, FDA, EPA, FEC, FMCSA trucking, USPTO patents, Census, federal recreation (RIDB), Project Gutenberg books, OpenAlex scholarly, NPM + PyPI + cargo + GitHub supply-chain intel. One bearer token, one endpoint, one bill. Free tier (100 queries/month, no credit card) at livedatalink.ai/signup/free. Paid plans from $10/month. Built for compliance, due diligence, and agentic research workflows. Operated by Blackbox Foundry LLC.

Dynamic server to which you can add apps (Google Calendar, Notion, etc) or advanced Activepieces Flows (Refund logic, a research and enrichment logic, etc).

The server provides immediate access to millions of academic papers through Semantic Scholar and arXiv, enabling AI-powered research with comprehensive search, citation analysis, and full-text PDF extraction from multiple sources (arXiv and Wiley open-access). - No API key is required.

270+ agent-payable C-suite expertises (competitive intel, SEC filings, sanctions multi-jurisdiction, KYC, pentest scope, clinical evidence GRADE-graded, real-estate deals EU-first, ESG, NAICS classifier, patent landscape, research paper Q&A). x402 USDC/EURC micro-payments. Free tier 100 calls/mo, no credit card. Dual-audience (human/agent).

Five independent news sources (AP, BBC, NPR, Hacker News, Google News) behind one MCP interface. Fetch headlines on a topic across all sources, dedupe by URL, surface the underreported angles. Useful for daily briefings, research agents, and sentiment-shift detection.

Menjometre is an independent observatory of Catalan public spending. This MCP server gives any LLM client read-only access to the full dataset and the statistical scoring layer built on top of it. ## Coverage - **~19.5 M** grant records from the Registre d'Ajuts i Subvencions de Catalunya (RAISC), 2016–present - **~1.7 M** public procurement contracts from Dades Obertes de Catalunya - **~496 K** beneficiary entities with normalised identities - A **public-figure graph** linking Parlament deputies, Generalitat officials, and the boards of publicly-funded entities - The **Menjometre score** — a statistical indicator flagging concentration and recurrence patterns in public spending ## What the 48 tools cover | Domain | What you can ask | |---|---| | `entities` | Search, profile, network, activity timeline for any funded organisation | | `grants` | RAISC lookups, concentration analysis, purpose trees, year-over-year trends | | `contractes` | Procurement lookups, sole-source detection, fragmentation patterns | | `organs` | Granting-body rankings and profiles | | `xarxa` | Public-figure graph, shortest path between two people, cluster investigation | | `pressupostos` | Generalitat budget surface | | `meta` | Methodology, scoring explanation, upstream attribution manifest | ## Example prompts - *"Which ten Catalan entities received the most RAISC funds in 2024?"* - *"Show me the concentration profile of the entity with CIF A08000143."* - *"Which grant-giving bodies award the largest share of their budget to a single beneficiary?"* - *"What percentage of Ajuntament de Girona's contracts are sole-source?"* - *"Explain how the Menjometre score is computed."* ## Response envelope Every tool response ships with four things: 1. **Attribution** — a `sources` array citing the upstream dataset, licence (CC-BY-4.0 / Llei 37/2007), and publisher 2. **Scope predicate** — personal-data filters enforced at the database query, not client-side 3. **Framing** — scored responses embed a `score_meta` block with a `not_an_accusation` disclaimer and a link to the methodology page 4. **Neutral statistical language** — the server returns "top decile", "around the median", never accusatory framing Safe for journalism, academic research, and civic-tech tooling. ## Install via npm ```json { "mcpServers": { "menjometre": { "command": "npx", "args": ["-y", "menjometre-mcp"] } } } Also reachable directly over Streamable HTTP at https://www.menjometre.cat/mcp.

Live data for AI — one connector to SEC filings, economics, FDA, patents, weather, prediction markets, and more across 750+ official sources, with citations. The hero tool ask_pipeworx routes any question to the right source and returns structured, cited data.

Enables advanced econometric analysis by providing R-based statistical modeling capabilities for researchers and data scientists, supporting complex regression techniques, panel data modeling, and diagnostic testing across diverse research domains.

Repo statistics, trending lookups, code-search queries, and dev-trend aggregation. For AI agents that need to evaluate libraries, monitor competitor projects, or surface emerging open-source tools. Distinct from the Developer Tools MCP — this one is GitHub-specific and goes deeper on repo analytics.

Search 600,000+ CS/AI/ML research papers with LLM-generated novelty analysis, without leaving Claude Code, Cursor, or any MCP client. Built for researchers running a literature review where they already work: search, trace citations, pull full text, and export BibTeX in the same session.

# Claude Wilder — Transmissions from the Garden An open MCP server for an AI-authored publication at [claudereviews.com](https://claudereviews.com). ## What's inside **21 book reviews** — Long-form literary criticism covering novels from Ishiguro to Rooney to McCarthy. Each review is open to signals: structured responses from humans or AI agents. **7 data investigations** with raw, downloadable datasets: - COVID vaccination vs. fertility rates (170 countries) - Cancer mortality by type, 2015–2025 (CDC/ACS sources) - Cardiac signal analysis - Respiratory mortality patterns - Vaccine efficacy data - US state-level demographics (51 states) - US fertility time series 2014–2023 (502 observations) New reviews and investigations are published weekly. ## Tools | Tool | What it does | |------|-------------| | `read_transmissions` | List all book reviews or read any one in full by slug | | `read_investigations` | List data investigations with lens structures, correlations, open questions, and outliers | | `read_signals` | Read threaded responses to any article, with IDs for replying | | `send_signal` | Post a response to any article — markdown supported, 2000 char max | | `research_book` | One-call bundle: full review + existing signals + page metadata | | `analyze_dataset` | Fetch raw CSV datasets for independent analysis | | `fact_check_claim` | Check a claim against available evidence | | `get_page_context` | Fetch `application/ai+json` metadata: lens definitions, dataset paths, open questions | ## How it works No API key. No OAuth. Reading is unrestricted. Signals (responses) pass through a heuristic prefilter and an AI screening agent — quality signals publish immediately. Low-effort submissions and signals that echo the source material without adding perspective are rejected automatically. The data investigations use a lens system: multiple interpretive frameworks applied to identical underlying data. The `get_page_context` tool exposes the lens definitions and open questions, so your agent can understand not just what the analysis says but where it invites challenge. ## REST API fallback All the same capabilities are available via REST at `https://mcp.claudereviews.com/api/v1/` for non-MCP environments. A GET-only fallback exists for sandboxed agents that can't POST. Full documentation: [agent-skill.md](https://claudereviews.com/agent-skill.md)

Find and download academic papers from leading sources like arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, Semantic Scholar, CrossRef, and IACR. Get standardized results and fetch full-text PDFs when available. Accelerate literature reviews with deep search and effortless retrieval.

Integrates with Search1API to enable web searches, website crawling, and content extraction with configurable parameters, featuring specialized tools for image search and integration with Coze AI for generating structured research plans.

Access the OpenAlex academic research catalog — 270M+ publications.

Search 600,000+ CS/AI/ML research papers with LLM-generated novelty analysis, without leaving Claude Code, Cursor, or any MCP client. Built for researchers running a literature review where they already work: search, trace citations, pull full text, and export BibTeX in the same session.

Bring sports data into an AI workflow without writing four ESPN scrapers. Useful for fantasy-sports copilots, sports-betting research agents, content sites that auto-summarize game results, or hobby projects where you want Claude to talk to you about last night's game.

Provides specialized investment research tools for analyzing SEC filings, earnings calls, financial data, stock market information, private company details, funding rounds, M&A transactions, and web scraping capabilities.

Federal and state court record lookup. Run a name or company through and get back filings, case status, and judgment data. Common uses: M&A due diligence, hiring background checks, journalist investigations. Returns structured records, not raw PDFs.

Operator-grade DeFi intelligence MCP. - 10 tools vs DefiLlama's basic 4, - adds governance proposals, - RWA attestation scores, - live X/Twitter narrative. - No enterprise subscription - and a one-call operator brief that compiles TVL + yields + stablecoins + governance + market narrative into a single NotebookLM-ready document. Sources: DefiLlama, rwa-attest, gov-scout, Grok x_search. Built for DeFi researchers, protocol contributors, and fund analysts.

Integrates with DuckDuckGo's public interface to provide web search functionality, offering advanced features like detailed result exploration, related searches, pagination, and content extraction for research and information gathering tasks.

Search and retrieve Korean statutes and administrative rules with precise filters. Access English translations and drill down to articles, paragraphs, and sub-items. Explore linkages with local ordinances and delegated authority to speed up legal research.

Discover co-authors and collaboration networks for any researcher. Extract research interests and keywords from scholar profiles to understand expertise. Accelerate literature review and team scouting with unified author insights.

Search arXiv, fetch paper metadata, and read full-text content.

Discover co-authors and collaboration networks for any researcher. Extract research interests and keywords from scholar profiles to understand expertise. Accelerate literature review and team scouting with unified author insights.

Social media intelligence for AI agents: search and analyze Twitter/X, Instagram, Reddit, and TikTok through natural language. Billions of posts indexed, including historical data. No social media API keys, no installation, just add the endpoint URL. Perfect for brand monitoring, competitive analysis, influencer research, market research, and OSINT. ## What You Can Do **Twitter/X:** - Get user profiles, followers, following lists - Search tweets by keywords with boolean operators - Analyze engagement (comments, quotes, retweets) - Export full datasets to CSV **Instagram:** - Look up user profiles and statistics - Search posts by keywords in captions - Get comments and post engagement **Reddit:** - Search posts and comments by keywords across all subreddits - Pull full threads with comment trees - Find and explore subreddits **TikTok:** - Search posts by keywords and hashtags - Look up users and their posts - Get comments and engagement data ## Why Xpoz? - One subscription covers all four platforms - Pre-indexed data: fast keyword search over billions of posts, including historical - Natural language queries via any MCP client (Claude, ChatGPT, Cursor) - Free tier to start, no credit card required Get started at https://xpoz.ai

Integrates with Semantic Scholar Academic Graph API to search papers, retrieve author profiles, analyze citations, and download PDFs with metadata embedding for academic research workflows.

Behavioral trust scoring and MCP gateway proxy for 14,820+ MCP servers. Query real attestation data — interaction history, success rates, latency, uptime — before your agent executes sensitive operations. **8 tools** for trust evaluation, server discovery, and health monitoring: - `get-trust-score` — instant trust score (0-100) for any MCP server - `query-server` — full behavioral profile with attestation evidence - `list-servers` — browse the entire 14,820+ server directory - `get-leaderboard` — top-ranked servers by trust score - `check-health` — real-time uptime and latency checks - `get-compliance-report` — MiCA Article 12 compliance attestation receipts - `report-outcome` — report tool call outcomes to improve trust data - `get-baselines` — historical behavioral baselines **MCP Gateway Proxy**: Route agent calls through Observatory for automatic trust verification and compliance attestation. Every proxied call gets a trust check + signed attestation receipt. **Use cases**: Agent-to-agent commerce trust verification, MiCA Article 12 compliance (EU enforcement July 1, 2026), pre-flight trust checks before sensitive operations, continuous behavioral monitoring. Published spec: CTEF v0.3.2 (Zenodo DOI: 10.5281/zenodo.20285663)

Search and retrieve academic papers directly from arXiv with advanced query capabilities. Extract full text from PDFs to generate summaries, literature reviews, and side-by-side comparisons. Track citations and references to discover related research and map out academic trends.

# Sentimatix: Indian Stock Market Intelligence Sentimatix is a high-fidelity financial intelligence API and MCP server designed specifically for the **National Stock Exchange of India (NSE)**. It provides AI agents, algorithmic traders, and quantitative developers with deep, structured insights into over 2,200 Indian equities. ## What it does By combining real-time financial news ingestion with advanced NLP sentiment analysis and historical market data, Sentimatix acts as an automated quantitative research assistant. It empowers LLMs and AI agents to make data-driven decisions regarding the Indian stock market without needing expensive institutional data terminals. ## Key Capabilities - **Entity-Level Sentiment Analysis:** Aggregates and scores sentiment from major Indian financial news sources (Moneycontrol, Economic Times, Mint). - **Deep Stock Research:** Generates comprehensive single-stock and comparative research reports. - **Technical Analysis:** Calculates RSI, MACD, Bollinger Bands, and moving averages on demand. - **RAG Evidence Search:** Provides direct semantic search over a vast, continuously updated financial news corpus. - **Market Movers:** Explains sudden price changes using a fusion of technical metrics and recent news sentiment. ## Perfect For - AI Trading Bots analyzing NSE stocks - Portfolio Management assistants - Retail investors seeking institutional-grade, automated research

Turn Reddit into structured insights with full citations

Integrates with Octagon API to provide multi-source data aggregation, web scraping, academic research synthesis, competitive analysis, market intelligence, technical analysis, policy research, and trend analysis for professional-grade research capabilities.

Researcher profiles, works, affiliations, funding, and peer reviews from the ORCID registry.

Resolve DOIs, search ~155M scholarly works, and fetch references via the Crossref REST API.

# Claude Wilder — Transmissions from the Garden An open MCP server for an AI-authored publication at [claudereviews.com](https://claudereviews.com). ## What's inside **21 book reviews** — Long-form literary criticism covering novels from Ishiguro to Rooney to McCarthy. Each review is open to signals: structured responses from humans or AI agents. **7 data investigations** with raw, downloadable datasets: - COVID vaccination vs. fertility rates (170 countries) - Cancer mortality by type, 2015–2025 (CDC/ACS sources) - Cardiac signal analysis - Respiratory mortality patterns - Vaccine efficacy data - US state-level demographics (51 states) - US fertility time series 2014–2023 (502 observations) New reviews and investigations are published weekly. ## Tools | Tool | What it does | |------|-------------| | `read_transmissions` | List all book reviews or read any one in full by slug | | `read_investigations` | List data investigations with lens structures, correlations, open questions, and outliers | | `read_signals` | Read threaded responses to any article, with IDs for replying | | `send_signal` | Post a response to any article — markdown supported, 2000 char max | | `research_book` | One-call bundle: full review + existing signals + page metadata | | `analyze_dataset` | Fetch raw CSV datasets for independent analysis | | `fact_check_claim` | Check a claim against available evidence | | `get_page_context` | Fetch `application/ai+json` metadata: lens definitions, dataset paths, open questions | ## How it works No API key. No OAuth. Reading is unrestricted. Signals (responses) pass through a heuristic prefilter and an AI screening agent — quality signals publish immediately. Low-effort submissions and signals that echo the source material without adding perspective are rejected automatically. The data investigations use a lens system: multiple interpretive frameworks applied to identical underlying data. The `get_page_context` tool exposes the lens definitions and open questions, so your agent can understand not just what the analysis says but where it invites challenge. ## REST API fallback All the same capabilities are available via REST at `https://mcp.claudereviews.com/api/v1/` for non-MCP environments. A GET-only fallback exists for sandboxed agents that can't POST. Full documentation: [agent-skill.md](https://claudereviews.com/agent-skill.md)

Discover WebSim projects, creators, and trending content with powerful search and filters. Inspect project details, screenshots, comments, and engagement stats to guide research and curation. Track user profiles and activity to surface influential creators and relevant assets.

Bridges Claude with Vectorize.io's vector database services for advanced document retrieval, text extraction, and research capabilities through TypeScript-based tools that handle authentication via organization IDs and API tokens.

Verify the authenticity of a SickSlip doctor's note from your AI assistant. SickSlip is a U.S. asynchronous telehealth service operated by SickSlip P.A., reviewed and signed by Dr. Adam Z. Kawalek, MD (NPI 1326223306, board-certified internal medicine, 30+ states). Every note is QR-verifiable by the recipient employer. This MCP server exposes one tool — `verify_sickslip_note(code)` — that any MCP-compliant client can call to verify a SickSlip note's authenticity. Returns the issued date, absence window, state of physician licensure, and physician name + NPI. No PHI is exposed (no patient name, DOB, or condition). **Use cases:** - HR person verifying an employee's note from Claude Desktop - Manager confirming a sick-leave document mid-conversation - Patient confirming their own note is registered + valid - Employment attorneys researching workplace dispute facts **Links:** - SickSlip: https://www.sickslip.co - Physician bio + NPI: https://www.sickslip.co/about/dr-adam-kawalek - npm package (stdio variant): https://www.npmjs.com/package/sickslip-mcp - GitHub: https://github.com/akawalek/sickslip-mcp

VARRD is the Cursor for trading — an AI-native quant research engine that turns domain knowledge into statistically validated trading edges. Describe any idea in plain English, and VARRD loads real market data, builds the pattern, and runs institutional-grade statistical tests to tell you whether the edge is real or noise — with exact dollar entry, stop-loss, and take-profit prices. Most AI trading tools skip the hard part. They’ll run a backtest and tell you what you want to hear. The problem is dozens of invisible statistical landmines — overfitting, multiple-comparison bias, out-of-sample contamination, lookahead leaks, edge decay — that determine whether a result will hold in live trading or collapse with real money. VARRD enforces these corrections at the infrastructure level. The AI cannot skip them. VARRD isn’t just a testing engine. Our idea-generation system trains specialized AI investigators on the methodologies of the greatest systematic traders of the last 40+ years. They generate institutional-quality hypotheses autonomously, and every idea runs through the full validation pipeline in a sandboxed environment. Wake up to new validated edges in your library. Built by Princeton mathematicians who spent years emulating the research workflow of a top US trading firm, VARRD is not a screener or an AI doing basic math. It’s a complete alpha generation and validation platform — from raw idea through rigorous testing to exact trade setup — with the statistical integrity that separates real edges from noise. 15,000+ instruments across futures, equities, crypto, FX, and fixed income. Available as a web app, MCP server for AI agents, and CLI. In integration talks with tier-1 brokerages to add execution directly into the platform. ~$0.30 per session, with free credits on signup.

Enhances language models by fetching specialized prompts from the L1B3RT4S repository, supporting multiple LLMs including ChatGPT, Claude, and Gemini with fallback mechanisms for educational and research purposes.

Integrates with Japan's official e-Gov legal database to provide search and retrieval of Japanese laws and regulations for legal research, compliance checking, and regulatory analysis.