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    Enables agents to search the main academic literature APIs (arXiv, Crossref, Semantic Scholar) and the web via Tavily, and to extract full text from PDFs or web pages, returning each source's own native metadata fields.
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    MIT
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    Enables LLM agents to search academic literature, explore citation graphs, discover related papers, and export BibTeX using arXiv and Semantic Scholar, with prompts for evidence-grounded related-work summaries.
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    MIT
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    A local MCP server that allows users to search Google Scholar for academic papers by topic, author, and year range without requiring API keys. It utilizes web scraping to provide paginated results for research and academic exploration through natural language.
    2
    MIT
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    A FastMCP server for the scholarly citation landscape that enables LLMs to search, cross-reference, and retrieve prior art across papers, patents, books, and standards via multiple APIs.
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    56 PyPI
    3
    MIT
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    Scholar MCP connects your agent to academic search, citations, primary text and figures, and an optional local research library. Source keys are optional.
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    102 PyPI
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    Apache 2.0
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    Enables local literature workflows by searching arXiv, retrieving paper metadata, downloading and parsing PDFs, and retrieving page-cited body evidence for Q&A. It also exposes usage resources and templates for searching, analyzing, and summarizing papers via stdio MCP.
    4
    MIT
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    Agent-native Amazon review intelligence — fetches verified reviews from 10 marketplaces via real Shulex OpenAPI (not scrapers) and produces copy-ready listing improvements grounded in actual customer language. Backed by a 2B-review historical dataset that Helium 10 / Jungle Scout can't replicate. Works in any MCP client (Claude Code, Claude Desktop, ChatGPT, Cursor, Windsurf, VS Code, Cline).
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    36
    MIT
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    An AI-powered research assistant that enables students to discover papers, generate summaries, and build bibliographies with cross-device session continuation using MCP and LangGraph.
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    1
    MIT
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    Unified MCP server for scientific literature search and extraction, integrating databases like Scopus, OpenAlex, Semantic Scholar, and Unpaywall to enable AI agents to discover papers, track citations, and analyze content.
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    MIT
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    Enables locally-first literature research through an MCP host by collecting sources, parsing documents, retrieving evidence, validating citations, and exporting research records in multiple formats.
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    MIT
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    Enables users to search scientific literature metadata across OpenAlex, Europe PMC, and Crossref, verify citations, retractions, source quotes, and claims, and build or export hash-chained evidence ledgers with explicit provenance and limitations.
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    Apache 2.0
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    Resolves scholarly identifiers — DOI, PubMed ID, PMCID, ISBN, ISSN, arXiv, ADS bibcode — into clean, formatted citations in any of 10,000+ CSL styles. Returns plain text, HTML, Markdown, RIS, BibTeX, CSL-JSON, or EndNote XML for direct paste or reference manager import.
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    349 npm
    11
    MIT
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    An open-source deep research MCP server that provides multi-source web search and synthesis with citations, enabling agents to perform citation-backed research using Qwen3-30B-A3B-Thinking and other models.
    6
    65
    MIT
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    A local academic tool that enables searching across nine academic sources, downloading PDFs, and performing AI-powered analysis of research papers. It also supports generating citation networks and recommending papers based on local workspace code.
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    95
    MIT
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    Enables local-first, versioned evidence retrieval from papers without loading the whole library into a conversation, with optional Zotero, writing, fixed-commit code, and experiment record integration returning bounded excerpts and page images.
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    1
    MIT
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    Enables configuration-driven, budgeted multi-source web research across platform and web search adapters, merging duplicate links, preserving provenance, and returning honest source coverage reports.
    4
    MIT
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    An MCP server that provides a structured, persistent scratchpad for hard reasoning, with staged reasoning and self-critique, built for local models.
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    MIT
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    Enables AI tools to access local crypto market data, run analyses, perform 66-item deep research, search RAG context, and retrieve generated reports and prompts via MCP.
    10
    MIT
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    A multi-agent research system that decomposes complex queries into targeted sub-questions, searches the web in parallel, scores source credibility, and synthesizes findings into structured markdown reports.
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    1
    MIT
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    Tools for AI assistant's deep research: * Google search + webpage reading (incl. JS-rendered pages) * Document & decks analysis * YouTube transcript extraction * Patents + academic paper search * Company and competitors research * Prompts for comprehensive-research, fact-check, summarize-url, news-briefing, patent-portfolio-analysis, competitive-analysis, literature-review, technical-deep-dive
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    157 npm
    36
    MIT
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    Enables searching Google Scholar papers with year filtering, deduplication, and proxy support. Also provides paper detail retrieval, TF-IDF relevance analysis, and chart generation via MCP tools.
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