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135,121 tools. Last updated 2026-05-25 22:07

"A server for accessing full-text research articles via DOI" matching MCP tools:

  • Search Cochrane systematic reviews via PubMed. Finds Cochrane Database of Systematic Reviews articles matching your query. Returns PubMed IDs, titles, and publication dates. Use get_review_detail with a PMID to get the full abstract. Args: query: Search terms for finding reviews (e.g. 'diabetes exercise', 'hypertension treatment', 'childhood vaccination safety'). limit: Maximum number of results to return (default 20, max 100).
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  • Look up registered financial interests for a member of Parliament. Returns ONE PAGE of interests (default 20, caller controls via limit). For prolific members (big donors, many directorships, extensive land holdings), re-call with offset=offset+returned while has_more is true to paginate. Description text is capped per max_description_chars; raise it for forensic provenance work that needs the full narrative. Use parliament_find_member first to obtain the integer member_id.
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  • Expand one author into a deduplicated paper list. This is the main author->paper traversal tool and supports research filters. Use `author_id` when you already know the exact author, or `author_name` plus `candidate_index` after `scholarfetch_author_candidates`. Supported comma-separated `filters`: year>=YYYY, year<=YYYY, year=YYYY, has:abstract, has:doi, has:pdf, venue:<text>, title:<text>, doi:<text>. If you pass `engines`, it must include `openalex`.
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  • Get full catalog metadata for a single scholarly work by OpenAlex id (e.g. 'W2741809807') or DOI (e.g. '10.1038/nature12373'). Returns title, authors, venue, year, citation count, open-access status, and a free full-text URL when available. For a bare arXiv id, use paper_get_text with paper_key 'arxiv:<id>' to read indexed text, or paper_search by title for OpenAlex metadata.
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  • Fetch full details for a single opportunity by ID. Use this after search_opportunities when: - The user wants to know more about a specific match - You need the full eligibility text to confirm a strong-match claim - The user wants to draft an application — you need the requirements The response includes all fields including the full body text and eligibility criteria. Present the eligibility as a checklist when relevant.
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  • Full AI visibility audit across 67+ checks in 12 categories (4 AEO + 4 GEO + 4 Agent Readiness). Returns detailed per-check scores with specific issues and recommendations, AI Identity Card with mention readiness and detected competitors, and business profile. GEO checks include 3 research-backed citation signals: factual density, answer frontloading, and source citations. Agent Readiness covers emerging agent-discovery standards Cloudflare's isitagentready.com evaluates: RFC 9727 api-catalog, SEP-1649 MCP Server Card, and IETF Content-Signal (draft-romm-aipref). Does NOT generate fix code — use fix_site for that, or compare_sites to benchmark against a competitor. Pay per call ($1.00) via x402 — USDC on Base or Solana. Machine payment via signed X-PAYMENT header; see https://www.x402.org/. On payment_required, the response includes the full x402 payload with payTo/amount/asset.
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    Read WeChat (微信) Official Account articles with native multimodal output — body, images, and video keyframes returned as MCP content blocks. Handles all three embed types: Tencent Video, WeChat-native, and Channels (视频号 metadata via public API).
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  • MCP server for academic research data including scholarly papers, citations, research trends, and publication metadata for AI agents.

  • UK property research tools - crime stats, schools, demographics, valuations for AI.

  • Fetch the full legal wording of a Gazette notice by numeric notice ID. Returns the complete JSON-LD linked-data record for the notice: parties, legal basis, court, and full text. Use gazette_insolvency first to find notice_numeric_id values.
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  • Free preview of a US or Mexico mining district record (MRDS-sourced). Returns field inventory, commodity summary, discovery year, and deposit count. Useful for domestic-sourcing due diligence (DoD/DFC project assessments, UFLPA country-of-origin research), historic production context, and mining project developer research. Full record (deposits[], geology, sources[], history narrative) requires $0.50 USDC via GET /api/historical/{country}/{state}/{county}/{district} using x402 on Base.
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  • Look up a Wikidata entity by an external identifier such as a DOI, PubMed ID, ORCID iD, or OpenAlex ID. Returns match=<entity> on success, match=null when not found, and match=null with multipleMatches populated when a Wikidata data integrity issue causes more than one entity to claim the same external ID. Common cross-server join use cases: CrossRef DOI → Wikidata paper QID (P356), PubMed PMID → Wikidata paper QID (P698), ORCID → author QID (P496), OpenAlex ID → entity QID (P10283). Known value normalization is applied automatically: DOIs are uppercased, PMID prefixes stripped, ORCID hyphens normalized.
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  • Server-side regex text search over indexed project source files. Free tier: requires file_path (single file). Premium tier (XMP4_PREMIUM_GREP_WALK=true): allows file_glob multi-file walk. Prefer xmp4_tests_for/xmp4_usages for SCIP symbols — grep is for text not indexed (comments, literals, config keys).
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  • Search quantum computing research papers from arXiv. Use when the user asks about recent research, specific papers, or academic topics in quantum computing. NOT for jobs (use searchJobs) or researcher profiles (use searchCollaborators). Supports natural language queries decomposed via AI into structured filters (topic, tag, author, affiliation, domain). Date range defaults to last 7 days; max lookback 12 months. Returns newest first, max 50 results. Use getPaperDetails for full abstract and analysis of a specific paper. Examples: "trapped ion papers from Google", "QEC review papers this month", "quantum error correction".
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  • Execute an integration action — e.g., send an email via Resend, create a payment via Mollie. The system resolves vault credentials server-side so you never handle API keys directly. The integration must be configured first via setup_integration (not needed for built-in integrations). Call get_integration_schema first to get the exact endpoint name and required input fields.
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  • Look up a single paper by its DOI. Args: doi: The DOI of the paper (e.g. "10.1038/s41586-024-07386-0"). api_key: Optional: Your Stripe subscription ID for paid access. Get one at https://bgpt.pro/mcp Returns: Paper with title, DOI, Raw Data, methods, results, quality scores, and 25+ metadata fields — or an error if not found. Costs $0.02 if found, free if not.
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  • Get comprehensive bias analysis for a news source. Returns: - source_name, slug_name, page_url - articles_analyzed: total articles in the bias database for this source - avg_social_shares: average social shares per article - emotionality_score (0-10): how emotional the writing is - prescriptiveness_score (0-10): how much the source tells readers what to think/do - bias_scores: dict of all measured bias dimensions with scores (-50 to +50 for bipolar, 0 to +50 for unipolar). WARNING: this endpoint returns emoji-prefixed display keys (e.g. '🔵 Liberal <—> Conservative 🔴') rather than the plain-text keys used by get_bias_from_url, get_all_source_biases, and search_news (e.g. 'liberal conservative bias'). Do not attempt to cross-reference bias_scores keys here with bias_values keys from other endpoints. - bias_description: AI-generated overall bias summary narrative - liberal_conservative_description: narrative on political leaning - libertarian_authoritarian_description: narrative on authority stance - signature_phrases: words/phrases uniquely overrepresented vs other sources - signature_negative_phrases: uniquely negative/alarming phrases - most_shared_phrases: phrases in their most viral articles - most_emotional_phrases: phrases used in their most emotional articles - pays_for_traffic_keywords: keywords this source buys ads for - similar_sources: sources with the most similar bias profile - most_different_sources: sources with the most different bias profile - trends_graph_url: URL to a chart of this source's coverage volume over time - bias_plot_urls: dict of 2D bias scatter plot image URLs (political_lib_auth, subjective_objective, informative_opinion, oversimplification_factful) — only present when available - recent_articles: list of most recent articles with full article fields and per-article bias_values Throws an error if the source is not found. Args: source: Source name (e.g. 'Fox', 'CNN', 'Reuters'). Slug-style input (e.g. 'fox-news') is NOT supported — use full name or domain only. recent_articles: Number of recent articles to include (1-50, default 10).
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  • OpenAI ChatGPT Deep Research / Connectors fetch contract. Given an id returned by `search` (formatted as 'artist:<uuid>', 'campaign:<uuid>', or 'smartlink:<uuid>'), returns the full record for citation.
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  • Read the best abstract available for a paper. Use with a DOI or with author_name + candidate_index + paper_index after author_papers. If you pass `engines`, use a comma-separated subset of: elsevier, openalex, crossref, arxiv, europepmc, springer, semanticscholar.
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  • Fetch the full record for an ID returned by search. Routes by prefix to the appropriate register: - company:{number} → Companies House full profile - charity:{number} → Charity Commission full profile - disqualification:{officer_id} → Disqualified director full record - notice:{notice_id} → Gazette notice full legal text
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  • Return the full text of an indexed open-access paper by its corpus key (e.g. 'arxiv:2310.12345'), paginated by passage. Use from_seq + max_passages to page through it. For works not indexed locally, returns a pointer to find the open-access URL via paper_search / paper_details.
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  • Fetch full dataset metadata by UUID key — title, description, citation text, contacts, license, DOI, numConstituents (sub-datasets), and temporal/geographic coverage. Use after gbif_search_datasets or when an occurrence record's datasetKey needs provenance detail.
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  • Convert between article identifiers (DOI, PMID, PMCID). Accepts up to 50 IDs of a single type per request. Only resolves articles indexed in PubMed Central — for articles not in PMC, use pubmed_search_articles instead.
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