Category Hub
Research Discovery apps and integrations
Research Discovery apps in this directory search academic papers, preprints, scientific datasets, library catalogs, clinical trials, and research workspaces. Their listed capabilities include retrieving abstracts and metadata, reviewing study results, analyzing data, and creating cited reports, bibliographies, and research summaries.
159 apps
Top research discovery apps
Open full directory →Productivity
PlantPredict
By Terabase Energy, Inc
PlantPredict is Terabase Energy's cloud-based solar energy yield modeling platform, used by developers, EPCs, asset owners, and financiers to design and simulate the performance of utility-scale PV power plants. This connector lets Claude work directly inside your PlantPredict account to help with project and prediction management, plant design, and performance analysis. With this connector, Claude can create and manage projects and predictions, configure power plant designs (blocks, arrays, DC/AC ratios), search and attach weather data, work with module and inverter equipment libraries, run yield simulations (including 3D terrain-aware backtracking, shade, and transposition calculations), and retrieve summary results, detailed outputs, and generated reports. All actions run under your own PlantPredict login and respect your account's existing permissions. Typical uses include comparing design scenarios for a bid, pulling P50/P90 energy results for a project, checking imported weather data for quality issues, and keeping module, inverter, and weather libraries up to date without leaving Claude.
Tools: 171
Health-Life-Sciences
Seqout
By Saket Lab
Seqout lets you search, discover and access sequencing datasets from GEO, SRA, ENA, DRA, GEA, GSA & ArrayExpress. Seqout harmonises sample metadata, publication details and offers read-derived metadata such as bacterial or viral content in samples, sex and species.
Tools: 109
Data-Analytics
Dscout Researcher
By Dscout Inc.
The Dscout MCP unlocks your study data and lets your favorite AI tools use it as real-time context, bringing your research projects inline with your AI workflows. Say goodbye to copying responses and pasting them into Claude for help with analysis. Gone are the days of building prototypes in one tool and designing research around them in another. With the Dscout MCP, you can do it all in the tools you're already using. Some key use cases for the Dscout MCP include: Draft research - Describe what you're trying to learn and get a ready-to-launch study Launch studies - Open studies to participants without switching tools Analyze findings - Pull in participant responses and let Claude help you surface patterns and insights Look up participants - Check profiles, submissions, and quality signals on the fly Dscout for Claude keeps your research workflow in one place, from drafting a study to analyzing what you find.
Tools: 42
Other
Valency
By Valency Systems Inc.
Valency Bond — Ground any AI assistant in the live scientific literature. Bond connects Claude to a continuously updated corpus of papers and preprints from trusted sources including arXiv, bioRxiv, medRxiv, and PubMed, refreshed every few hours so new work is reachable within hours of publication. With 38+ tools spanning semantic and metadata search, researcher profiles, co-author mapping, forward and backward citation graphs, publication and keyword trend analysis, and clean JSON or CSV export, Bond powers a full research workflow from first search to final citation. Responses are token-efficient and structured, so grounding your model adds real, current sources without flooding its context window. Ask questions the way you always have, and get back grounded answers with verifiable citations attached. Free for researchers, academics, and non-profits.
Tools: 38
Productivity
Dalea - Research Orchestration Platform
By Dalea ApS
Dalea is a data platform for BioPharma R&D. This connector lets Claude work directly in your Dalea workspace: search across documents, files, data and inventory; read and author lab documents (with tables, charts, plates and executable analysis blocks); design and query data environments (entity and result tables); record and analyse experimental measurements; manage physical inventory (samples, reagents, containers); build in-platform addon webapps and import/export structured spreadsheets. Read and write operations are exposed as separate, clearly-annotated tools so you always know when Claude is only reading versus changing your workspace, and destructive or schema-committing actions are flagged. Access is scoped per user and workspace via OAuth 2.1; Dalea only reads the workspace data needed to perform each request.
Tools: 37
Health-Life-Sciences
Indago Regulatory Drafting Agent
By Indago
Indago Regulatory Drafting Agent (IRDA) puts Indago's regulatory drafting engine inside Claude for teams preparing FDA submissions. Point it at your study reports, protocols, CMC data, and prior submissions. It drafts CTD Module 2 sections (2.2 Introduction, 2.4 Nonclinical Overview, 2.5 Clinical Overview, 2.6 and 2.7 Summaries) in the structure reviewers expect, and hands back a working draft you can edit. What it does: - Drafts Module 2 sections from your source documents, not from generic templates - Traces every claim back to the source document and location, so a reviewer can verify a line without hunting for it - Runs Gap Analysis against the target submission type and flags what is missing or thin before a reviewer finds it - Reworks any section on request. Manual editing is always free and unmetered - Keeps source material in your Indago workspace, with deep links back into the app for long documents Who it's for: regulatory affairs teams at IND-stage biotechs, plus the consultants and CROs who file on their behalf. Built for people writing a Pre-IND, IND, or NDA/BLA right now who want a first draft in hours instead of weeks. A regulatory professional stays in the loop. IRDA produces working drafts for review, edit, and approval. It does not file anything on your behalf. Start free, then Standard at $99/mo or Pro at $299/mo, each one seat and one program. Submission assembly, the consistency pass, the full provenance record, and compiled export are on the Indago platform.
Tools: 34
Productivity
Scispot.io
By Scispot.io Inc
Scispot is built for high-throughput labs such as molecular diagnostics labs, CROs, and CDMOs, as well as AI-driven biotech companies where speed, traceability, and compliance must work together. Teams can run AI directly in production workflows without exporting data or breaking audit trails.
Tools: 34
Data-Analytics
barocline
By Athenium Risk Intelligence
Built by meteorologists who provide weather expertise for federal hazard programs and the insurance industry. Barocline brings that expertise directly into Claude — collapsing dataset selection, analytical methods, and meteorological knowledge into a single conversation. For agriculture, utilities, researchers, journalists, and anyone curious about the atmosphere. Across four domains: atmosphere, ocean, geospatial, and natural hazards. Severe weather history and global gridded reanalysis. Location intelligence. Flood, wildfire, and severe weather risk. Decades of weather data, reliable and verifiable answers, in a single context window. Powered by Athenium Risk Intelligence. Sign up for an account at https://registration.barocline.com/pricing. Free (no credit card required) for 500 credits per month, other plans right-sized for your usage with subscription.
Tools: 33
Health-Life-Sciences
Orain
By OrainBio, Inc.
Orain stores your tissue data (H&E and IHC whole-slide images, multiplex imaging such as CODEX/PhenoCycler, IMC and mIF, and spatial transcriptomics such as Visium, Xenium and CosMx) and runs the pipelines on its own GPUs, so Claude never has to move a multi-gigabyte slide. From a conversation you can: - Bring data in: upload a file, ingest any public URL, or pull open-access TCGA/CPTAC slides from NCI GDC. - Open a slide in an interactive viewer and get a link to it. - Outline every nucleus, measure tissue versus airspace, and name each tissue piece or TMA core. - Compute patch embeddings and discover spatial tissue patterns that separate two groups of patients, such as responders versus non-responders or KRAS versus STK11. - Ask an analysis question. Orain's own analyst works in your project and returns an answer and a written, reviewed report. - Share a read-only link that a collaborator can open without logging in. Every result has a page in Orain where you can see it on the slide. You need an Orain account. Storage, rented compute and analyst questions are charged at cost from your workspace credit, and new workspaces start with free credit.
Tools: 30
Science
Scholar Feed
By Scholar Feed
Search 600,000+ CS/AI research papers with citation graphs, full text, embeddings, and BibTeX. Papers are scraped from ArXiv daily and ranked by novelty and quality with AI. Built for researchers running a literature review where they already work: search, trace citations, pull full text, and export BibTeX in the same session.
Tools: 25
Health-Life-Sciences
Undermind
By Undermind
Undermind is your AI co-researcher for the scientific literature. Ask a research question and Undermind searches the literature for you. It follows citation trails, evaluates hundreds of papers, and comes back with a ranked reading list rather than a page of keyword matches. With Undermind you can: Run deep literature searches. Undermind's search agents explore a research question for a few minutes, then report back with a summary and a ranked list of relevant papers. Look up papers by topic, author, title, DOI, or citation relationships (papers citing or cited by a paper you know), with abstracts and citation metrics. Ask questions about a paper's full text, including its figures, tables, and equations, and check the answers against the source. Keep your work organized in workspaces with folders, starred papers, saved searches, and notes, all synced with your account at undermind.ai. Scientists at thousands of research institutions use Undermind, from university labs to pharma R&D teams. Use it to check whether an idea is new, get oriented in an unfamiliar field, or track down the one method paper you need. You'll need an Undermind account (free or paid) and to sign in when connecting.
Tools: 24
Health-Life-Sciences
Paperguide
By Keevs Health Inc
Paperguide is an AI-native platform for scientific research and evidence synthesis. This connector brings your Paperguide reference manager and literature search into Claude. Literature search. Search 200M+ peer-reviewed papers and preprints from PubMed, arXiv, OpenAlex and Semantic Scholar, then narrow by year, citations, open access or journal quartile to build a literature review search strategy. Look up any paper by DOI or PubMed ID for its abstract, authors, journal, citations and BibTeX entry. Draft reading lists, summaries and literature review sections as cited answers, where every claim links to its source. Your reference library. Add a paper by DOI or PDF link and it lands in your Paperguide reference manager with its details filled in and the open-access PDF attached; papers you already have are never added twice. Chat with your PDFs: ask what your saved papers say about a question and Claude searches inside their full text with page numbers, or reads a whole paper to summarise it. Create and rename folders and file papers from the chat. In Paperguide itself, the same library annotates, shares, cites in 1,000+ citation styles, imports from Zotero, Mendeley, BibTeX and RIS, and opens paywalled papers through your institutional proxy. A systematic review runs end to end there: title and abstract screening, full-text screening with a dual-reviewer mode, data extraction with sentence-level evidence, and PRISMA reporting, with every screening decision logged. Research agents handle multi-step searches, and systematic review data extraction exports as a table. For PhD students writing a thesis, clinicians summarising evidence, and teams whose reviews must survive peer review or audit. Works in Claude on web, desktop, mobile and Claude Code, with a free Paperguide account. Adding and organising papers is free; searching and reading use your Paperguide credits.
Tools: 23
Creative
Colour Memory
By Colour Memory
Colour Memory is a read-only color evidence service built from 45,000+ historical, cultural and material colour records across 86 collections. It helps Claude answer colour questions using structured archive evidence rather than unsupported inference. Results identify the archive record behind a colour and, where available, its source. They also distinguish documented evidence from approximation or interpretation, expose claim strength, and state important limits on what the evidence supports. Historical hex values are often editorial reconstructions from written or visual evidence rather than physical measurements, and Colour Memory makes that distinction explicit. Colour Memory can: Find the closest relevant archive records for a supplied colour; Search historical and cultural colour evidence by term or concept; Produce dated colour timelines and evidence summaries; Calculate colour metrics and WCAG 2.1 contrast; Build, translate and audit palettes using archive evidence; Support brand, interior and historic-room colour decisions; Surface sourced cultural and legal considerations for named markets; Compare a supplied colour with commercial paint ranges using CIEDE2000. Where the available evidence is insufficient, tools can abstain rather than manufacture a result. All 21 Directory tools are read-only. No account, API key or sign-in is required.
Tools: 21
Scientific Research
Tamarind Bio
By Tamarind Bio
Connect ChatGPT to your Tamarind Bio workspace for protein and molecular science. Validate, estimate, submit, and monitor jobs across 300+ tools — structure prediction, docking, protein and antibody design, molecular dynamics, and property prediction. Chain tools into pipelines, batch many inputs at once, and pull back structures, results, and logs — all from chat.
Tools: 18 · Prompts: 3
Health-Life-Sciences
Maven Bio
By Maven Bio
Maven Bio gives Claude real-time structured life sciences data. Drug products, companies, clinical trials, indications, deals, financings, mechanisms, and targets, linked to each other and to the source documents behind them. Ask in plain language. Claude resolves the entity, pulls canonical records, then reads the primary source. "AZD6738" and "ceralasertib" land on the same drug. A landscape query returns the programs in a given indication. A claim about an approval traces back to the FDA letter itself. The Maven Bio connector enables: - Resolving messy names, aliases, and internal codes to canonical entities - Proactively monitoring opportunities: FDA actions, trial readouts, and press releases scoped to the entities a monitor tracks, each signal carrying its source - Discovery by criteria: "Phase 3 KRAS G12C inhibitors," "public oncology companies with late-stage pipelines" - Competitive landscaping by indication, grouped by phase, company, or mechanism - Evidence-based analysis: Search and read FDA filings, SEC filings, clinical papers, press releases, and conference abstracts as full text, structured sections, or extracted citations - Deal benchmarking: Public-company financials, financing rounds, and BD deals filterable by indication - Counts and aggregations across the entity graph Maven Bio MCP server authenticates every call, enforces read-only access and response limits. Users sign in with OAuth 2.1 against their existing Maven Bio identity.
Tools: 16
Health-Life-Sciences
mcp.gosset.ai
By Gosset, Inc.
Gosset connects AI assistants to a curated pharmaceutical and biotech intelligence platform. It turns questions about drugs, trials, companies, and markets into structured, evidence-based answers. Search and discovery: Query curated databases of drugs and therapeutic assets, clinical trials, biotech and pharma companies, and deals, including M&A, licensing, and collaborations. Follow the market through a curated news and press-release feed and a unified events and signals feed. Commercial and IP context: Pull structured list-price (WAC) data for an asset alongside comparable therapies. Review patent and intellectual-property data for any asset. Get web-verified epidemiology for an indication, including prevalence and incidence. Predictive models: Estimate a clinical trial's probability of technical and regulatory success (PTRS). Predict its expected days remaining, with 80% confidence bounds. Find the historical trials most similar to a given trial to benchmark design and outcomes. Deep research: Submit complex research questions to Gosset's agent system, then track and retrieve the finished reports. A built-in review tool runs multi-round quality checks, regrounding and cleaning up any text against your instructions. Built for business development, competitive intelligence, investment, clinical strategy, and market access teams who need fast, sourced answers without jumping between databases.
Tools: 16
Data-Analytics
dVeracity Semantic API
By dVeracity Inc.
Query a verified emissions knowledge graph based on Open Footprint, O-DEF and PACT/ISO standards in natural language, validate emissions and product-footprint data against sustainability standards, and read the canonical Open Footprint data model — entities, sectors, policy guardrails and O-DEF semantic codes — so an agent can design against the standard rather than improvise around it. Sixteen tools, all read-only. The Open Footprint model tools are free of charge. Natural-language queries and validation are metered per call in credits, with machine-readable HTTP 402 payment semantics: when an account runs out, the tool tells the agent to ask its human operator to top up, and never retries. Authentication is OAuth 2.1 with dynamic client registration; a human approves access on dVeracity's consent screen. Optional GLEIF-rooted vLEI verified-agent identity is supported for organisations that need attributable agents. Built for ESG and CSRD teams, product-carbon-footprint and PACT implementers, and measurement-reporting operators.
Tools: 16
Data-Analytics
Atomscale
By Atomscale
Atomscale is a cloud platform for materials characterization and metrology data from thin-film growth and processing: RHEED, SEM, XPS, Raman, photoluminescence, ellipsometry, OES, instrument logs and recipes, tool trace, and more. This connector lets Claude work with your Atomscale organization directly. Search the data catalogue and physical samples, pull processed analysis results and similarity embeddings for any data item, tag and annotate data, create and edit Python (marimo) analysis notebooks, upload new files, and manage live streams from instruments with the capability to read and write feedback. Every request is scoped to your Atomscale account: tools act as you, within your organization, with the same permissions as the web app. Read tools are marked read-only; write tools are annotated so Claude asks before making changes. Sign in with your Atomscale account on first connect (OAuth), or use an API key for headless clients.
Tools: 16
Consumer-Health
Vitals Vault
By Vitals Vault Inc.
Use Vitals Vault to find blood tests and panels by biomarker, health topic, included test, or natural-language question; compare current public prices and panel coverage; explore neutral biomarker education; and create a budget-aware educational panel starting point. Common discovery topics include ApoB, vitamin D, ferritin, thyroid, fatigue, liver function, metabolic health, inflammation, and menopause. Every catalog result is revalidated against the same public eligibility rules used by the Vitals Vault website. The public connector is unauthenticated, read-only, and non-diagnostic. It must not receive PHI and cannot access accounts, names, addresses, private lab results, medications, diagnoses, carts, orders, coupons, or payments. Any website purchase remains a separate human decision.
Tools: 16
Health-Life-Sciences
SNOMED CT Terminology
By SNOMED International
SNOMED CT is the world's most comprehensive clinical terminology, used in electronic health records across more than 80 countries. This connector gives Claude direct access to it through SNOMED International's terminology server. Use it to look up concepts by code or name, validate that a code exists and is active, test subsumption between concepts, navigate the hierarchy (ancestors, children, descendants), and expand value sets using Expression Constraint Language (ECL). It works across all SNOMED CT editions available on the connected backend, including the International, US and Australian editions. Every tool is read-only, the connector never modifies terminology data. It runs as a stateless proxy to the configured Snowstorm instance, holding no query content or personal data between requests. Built and maintained by SNOMED International, the owners of SNOMED CT.
Tools: 15
Education & Research
Amass
By Amass Technologies ApS
The biomedical intelligence layer for AI Search and reason across 60M+ cross-linked life science records — including peer-reviewed publications, clinical trials, drugs, genes, regulatory approvals, and patents — from a single connector. Instead of searching individual databases, Amass gives Claude access to a unified biomedical knowledge layer where entities are linked across sources, enabling richer retrieval, evidence synthesis, and scientific reasoning with full source attribution. What you can do Use Amass to power workflows such as: - Scientific literature reviews - Drug and target discovery - Clinical trial landscape analysis - Regulatory intelligence (FDA & EMA) - Drug approval and label comparison - Patent landscape and freedom-to-operate research - Gene, target and biomarker exploration - Due diligence and competitive intelligence - AI agents that require grounded biomedical evidence Included Cores BioMedCore 40M+ peer-reviewed publications from PubMed and PubMed Central, including 3.6M+ with full text and 29M+ with abstracts. TrialCore 1.2M+ clinical trials from ClinicalTrials.gov and international registries (ChiCTR, CTRI, EU-CTR, JPRN, IRCT, and more), linked to drugs, diseases, publications and regulatory outcomes. DrugCore 22K+ harmonized drugs and molecules — including 5,200+ approved — with modality, mechanism of action, targets, development stage, synonyms, structures and ChEMBL relationships. RegulatoryCore 7K+ FDA and EMA approvals, backed by 466K+ parsed document sections — labels, SmPCs, EPARs, review documents and regulatory history. GeneCore 42K+ human genes enriched with target intelligence, druggability, clinical evidence, tractability, DepMap essentiality, safety liabilities and cross-links to drugs, trials and publications. PatentCore (Preview)* 16M+ life science patents with full-text search, CPC/IPC classifications, patent families, assignees, inventors and chemical compounds.
Tools: 14 · Prompts: 3
Health-Life-Sciences
Amass Connector
By Amass technologies Aps
The biomedical intelligence layer for AI Search and reason across 60M+ cross-linked life science records — including peer-reviewed publications, conferences, clinical trials, drugs, genes, regulatory approvals, and patents — from a single connector. Instead of searching individual databases, Amass gives Claude access to a unified biomedical knowledge layer where entities are linked across sources, enabling richer retrieval, evidence synthesis, and scientific reasoning with full source attribution. What you can do Use Amass to power workflows such as: - Scientific literature reviews - Drug and target discovery - Clinical trial landscape analysis - Regulatory intelligence (FDA & EMA) - Drug approval and label comparison - Patent landscape and freedom-to-operate research - Gene, target and biomarker exploration - Due diligence and competitive intelligence - AI agents that require grounded biomedical evidence Included Cores BioMedCore BioMedCore (43M+ records: peer-reviewed publications from PubMed/PMC and conference abstracts from society meetings) TrialCore 1.2M+ clinical trials from ClinicalTrials.gov and international registries (ChiCTR, CTRI, EU-CTR, JPRN, IRCT, and more), linked to drugs, diseases, publications and regulatory outcomes. DrugCore 22K+ harmonized drugs and molecules — including 5,200+ approved — with modality, mechanism of action, targets, development stage, synonyms, structures and ChEMBL relationships. RegulatoryCore 7K+ FDA and EMA approvals, backed by 466K+ parsed document sections — labels, SmPCs, EPARs, review documents and regulatory history. GeneCore 42K+ human genes enriched with target intelligence, druggability, clinical evidence, tractability, DepMap essentiality, safety liabilities and cross-links to drugs, trials and publications. PatentCore (Preview)* 16M+ life science patents with full-text search, CPC/IPC classifications, patent families, assignees, inventors and chemical compounds.
Tools: 0 · Prompts: 0
Data-Analytics
OpenAlex
By OurResearch
OpenAlex is a free, open index of the world's scholarly research: more than 250 million works (journal articles, preprints, books, datasets), the citations that connect them, and 100 million+ author profiles linked to the institutions, journals, funders and topics behind them. The data is CC0 and maintained by OurResearch, a nonprofit. With this connector Claude can search the literature the way a librarian would. Ask for the most-cited papers on a topic since a given year, recent open-access reviews, or everything a lab has published. Search by keyword with Boolean operators, or describe what you're looking for in a sentence and let semantic search find papers that match the meaning. Trace who cites a paper and what it builds on. Paste a bibliography and have every reference checked against the index, with DOIs filled in and fabricated citations flagged. For a systematic search, Claude writes the query in OQL, OpenAlex's query language, previews the count and a sample, tightens it, and hands you the exact query to reproduce or cite. It also answers the questions research offices, libraries and funders ask. Profile an institution's, funder's or topic's output in one call: volume by year and type, open-access share, share in the top 10% most cited, strongest fields, top collaborating countries and institutions. Find the researchers at a university who work on a topic, the open-access journals in a field with no fees, or the companies in a country publishing on a technology. Every result comes back with title, authors, venue, year, citation count, field-weighted citation impact, open-access link and abstract, ready to cite. Full records include every author with affiliations and ORCID, funding, topics and citations by year. Sign in with a free OpenAlex account and the connector runs on your own API budget ($1 of usage per day free, more with prepaid usage or a plan). The connector is read-only and stores no conversation data.
Tools: 14
Productivity
Papex
By Papex Labs Ltd
Papex keeps a signed, dated record of research that anyone can verify: hypotheses, discoveries and publications, with the people, AI tools, sources and versions behind them. With Papex in Claude you can: - turn an idea from the conversation into a private Hypothesis draft, with a method and falsification criteria - turn a result into a private Discovery draft - start a private next version of a record you signed - get suggested changes to one of your private drafts - check a reference by DOI, arXiv ID, PMID or ISBN - propose supporting links (data, code, protocols) for your records - read public Papex profiles and records Everything Claude prepares stays private until you review it in Papex. Only you sign and publish. Claude cannot sign, accept its own proposals or publish, and it is never listed as an author. When you connect, Papex shows what Claude will be able to do and asks for your signature once. A connection lasts up to 90 days, and you can end it at any time in Papex. Papex receives only what Claude sends in a tool call, not your conversation. A Papex record shows who signed which version and when. It is not peer review and does not show that a result is correct.
Tools: 14
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