"Resources for Writing Academic Papers" matching MCP tools:

• google_scholar

  Searchapi

  Search Google Scholar for academic papers, citations, and scholarly articles. Returns results with titles, authors, publication info, citation counts, and links to PDFs. Use cites parameter to find papers citing a specific work, or cluster to find all versions of a paper. For US court opinions and case law, use google_scholar_cases instead.

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• search_google_scholar

  Academic Research MCP Server

  Query Google Scholar for academic papers, citations, and research articles across all disciplines. Returns paper title, authors, publication venue, citation count, abstract preview, and full-text link if available. Use for comprehensive literature searches, citation tracking, or finding highly-cited works.

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• papers.list

  Urantia Papers

  List all 197 papers in the Urantia Book with their metadata (id, title, partId, labels). Use toc.get for a hierarchical view instead.

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• lookup_authoring_skill

  kernelcad

  Return the kernelcad-authoring SKILL.md body — conventions for writing .kcad.ts scripts (imports, parameters, evaluation contract, common pitfalls). Use this tool BEFORE generating CAD code if your MCP client does not list resources. Clients that do list resources should instead read `kernelcad://skills/authoring` directly — the contents are identical. INPUT: none. OUTPUT: { uri, mimeType, text } where `text` is the SKILL.md body.

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• dataset_details

  Opendata Swiss

  Full metadata for one dataset (CKAN package_show) including its resources/distributions with download URLs. Use a dataset `name` (slug) or id from search_datasets. There is no datastore, so fetch `resources[].download_url`/`url` for the underlying data.

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• ir_load_context

  website-search

  Load Lenny Zeltser's IR report writing context for local analysis. Returns expert guidelines for field completeness, incident identification, notification triggers, and writing quality. Includes rating-sheet items (lens taxonomy plus the IR-specific Information sheet) as concrete reference points for grounded feedback. This server never requests your incident notes and instructs your AI to keep them local. Use detail_level to control response size: "minimal" (~2k tokens), "standard" (~5k tokens), or "comprehensive" (~11k tokens).

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• searchPapers

  qubitsok — Quantum Computing Jobs, Papers & Researchers

  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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• searchCollaborators

  qubitsok — Quantum Computing Jobs, Papers & Researchers

  Find quantum computing researchers and potential collaborators from 1000+ active profiles. Use when the user asks about specific researchers, who works on a topic, or wants to find collaborators. NOT for jobs (use searchJobs) or papers (use searchPapers). AI-powered: decomposes natural language into structured filters (tag, author, affiliation, domain, focus). Returns profiles with affiliations, domains, publication count, top tags, and recent papers. Data from arXiv papers published in the last 12 months. Max 50 results. Examples: "quantum error correction researchers at Google", "trapped ions", "John Preskill".

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• rating_score_writing

  website-search

  Get Lenny Zeltser's scoring playbook so your AI can score a draft locally against a cybersecurity-writing rating sheet. THIS IS THE ONLY TOOL THAT PRODUCES NUMERIC SCORES — the writing-coach tools (`get_security_writing_guidelines`, `ir_*`, `product_*`) never score. Returns the rubric plus step-by-step instructions for applying it. This server never requests your draft and instructs your AI to keep it local—rating sheets and scoring instructions flow to your AI.

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• rating_load_context

  website-search

  Load Lenny Zeltser's complete cybersecurity-writing rating toolkit: all 7 sheets, scoring policy, scoring playbook, and cross-references to the writing guidelines. This server never requests your draft and instructs your AI to keep it local—rating sheets and scoring instructions flow to your AI.

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• search_resources

  ChangeGamer

  Search the ChangeGamer corpus by keyword. Ranks resources by relevance across title, description, tags, category, and body, and returns metadata plus HTML/Markdown/JSON URLs (no body content). Use this to find resources before fetching them with get_resource.

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• search_datasets

  Data Nl

  Search Netherlands Open Data (Netherlands) for datasets by keyword. Returns each dataset's id/name, title, organization, and its resources (each with a resource_id for query_resource).

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• export_terraform

  Control Plane

  Generate Terraform (HCL) for EXISTING Control Plane resources from a self link. Single resource (`/org/acme/gvc/prod/workload/api`) or bulk by path depth — `/org/acme` exports the whole org, `/org/acme/gvc/prod/workload` exports every workload in a GVC. Set `generateImports` to get ready-to-run `terraform import` commands for adopting the resources into Terraform state, and `includeDependencies` to pull in referenced resources. Exported secrets embed their REVEALED plaintext values — without includeSecretValues they are redacted, and a ref that targets secrets directly is refused. An unsupported kind is rejected with the supported list (list_terraform_kinds, full profile, enumerates them up front). For an in-memory manifest, use convert_to_terraform. Recommended reading: get_cpln_skill("iac-terraform-pulumi").

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• arxiv_get_metadata

  arxiv-mcp-server

  Get full metadata for one or more arXiv papers by ID. Use when you have known IDs from citations, prior search results, or memory.

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• arxiv_read_paper

  arxiv-mcp-server

  Fetch the full text of an arXiv paper as HTML. Tries arxiv.org/html first; falls back to ar5iv.labs.arxiv.org when the native render is unavailable. PDF-only papers (no HTML render on either source) return an html_unavailable error with the pdf_url for direct download. Page through long papers with the start and max_characters parameters.

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• search_works

  crossref

  Search academic papers, books, and datasets via Crossref. Beyond keyword search you can SORT by citation count or publication date and FILTER by date range, work type, and author — e.g. "most-cited papers on transformers" (sort=citations), "papers on LLMs since 2024" (from_date=2024-01-01), "recent journal articles by an author". Returns titles, authors, journal, DOIs, citation counts, and dates.

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• dataset_details

  Datagov Ie

  Full dataset record by id or slug (CKAN package_show), including its resources. Each resource has a download "url" (often PDF/CSV/XLSX) and a "datastore_active" flag; resources with datastore_active=true can be read row-by-row via datastore_query using the resource "id".

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• preview_external_handoff

  Agoragentic Agent OS MCP

  Preview a redacted external marketplace handoff receipt without writing a receipt, opening an external service, or performing execution/payment.

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• get_related_articles

  Pubmed

  Find papers SIMILAR to a given article — NIH PubMed's own computed 'related articles' (pubmed_pubmed neighbors), ranked by relevance using shared terms/MeSH/citations. Pass one PMID; returns the top related papers with full citation metadata (title, authors, journal, date, DOI). Use for "more papers like this", building a reading list from a seed paper, or broadening a literature search beyond keyword matches. Distinct from get_citations (which finds papers that cite this one).

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• get_citations

  Pubmed

  Find papers that CITE a given article — forward citation search. Pass one PMID; returns citing papers (most recent first) with full citation metadata. Use for "who cited this", "has this finding been replicated or challenged", or tracking a paper's downstream impact. NOTE: coverage is the PubMed Central citation graph (open-access + participating publishers), so the count is a FLOOR, not the paper's total citation count (for that, a tool like Semantic Scholar / OpenAlex covers more). Distinct from get_related_articles (similar papers, not citing papers).

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