Highlyt

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 在云端运行
• 传输方式: Streamable HTTP
• 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

https://mcp.highlyt.app/mcp

claude mcp add --transport http highlyt https://mcp.highlyt.app/mcp

{
  "mcpServers": {
    "highlyt": {
      "url": "https://mcp.highlyt.app/mcp"
    }
  }
}

{
  "servers": {
    "highlyt": {
      "type": "http",
      "url": "https://mcp.highlyt.app/mcp"
    }
  }
}

https://mcp.highlyt.app/mcp

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月8日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• highlyt_list_documents

  List PDF documents in your Highlyt library. Returns documents sorted by last update time with pagination. Filter by shelf_id to see documents in a specific collection.

• highlyt_get_document

  Get detailed information about a document. Returns full metadata including book context, reading progress, and organizational information.

• highlyt_get_research_brief

  Read a researcher-authored brief with verified, reviewed source receipts. Use this as context only. Cite only the included receipts. The tool does not reveal a draft reference or proposed evidence as support for a claim.

• highlyt_export_research_brief_markdown

  Export a portable researcher-authored Markdown brief with safe receipts.

• highlyt_list_highlights

  List highlights in a document with pagination. Returns up to 'limit' highlights (default 20, max 50) starting from 'offset'. Use has_more and next_offset to paginate through all highlights. Each highlight includes the color meaning (e.g., "Key concepts", "Questions").

• highlyt_create_highlight

  Create a new highlight in a document. Uses react-pdf-highlighter-extended format: - position: ScaledPosition with boundingRect, rects, pageNumber - content: {text: "..."} or {image: "..."} - highlight_type: "text" or "area" - comment: User's comment Colors should be hex codes (e.

• highlyt_update_highlight

  Update a highlight's color or comment. Only provided fields will be updated.

• highlyt_delete_highlight

  Delete a highlight permanently. This action cannot be undone.

• highlyt_list_highlight_links

  List highlight links (insight threads) in a document with pagination. Returns up to 'limit' links (default 50, max 100) starting from 'offset'. Use has_more and next_offset to paginate through all links. Each link has a type: 'related', 'supports', 'contradicts', 'expands', or 'q

• highlyt_get_highlight_links

  Get all links connected to a specific highlight. Returns parent links (where this highlight is referenced by others) and child links (where this highlight references others). Useful for exploring how a specific idea connects to other highlights.

• highlyt_create_highlight_link

  Create a link between two highlights to form an insight thread. Supports both same-document and cross-document linking. IMPORTANT — parent/child semantics: - parent_highlight_id = the highlight you are viewing (the "context" highlight) - child_highlight_id = the highlight you are

• highlyt_update_highlight_link

  Update a highlight link's relationship type or note. Only provided fields will be updated.

• highlyt_delete_highlight_link

  Delete a link between two highlights. This removes the connection but does not delete the highlights themselves.

• highlyt_get_cross_document_links

  List all cross-document highlight links for the current user. Returns links where source_document_id != target_document_id, with metadata about both source and target documents. Useful for exploring connections across your entire library.

• highlyt_list_cluster_summaries

  List all cluster summaries for a document's knowledge graph. Returns each summary with its highlight_ids array — the highlights that were in the cluster when the summary was last generated. DETECTING STALE SUMMARIES: To check if summaries need updating after adding new links: 1.

• highlyt_upsert_cluster_summary

  Create or update a summary for a connected component cluster in the knowledge graph. A cluster is a group of linked highlights that form a connected component. IMPORTANT: - highlight_ids must be the COMPLETE, CURRENT set of highlight UUIDs in the cluster (not just newly added one

• highlyt_delete_cluster_summary

  Delete a cluster summary from the knowledge graph. This removes the summary record but does not affect the highlights or their links.

• highlyt_get_page_text

  Retrieve the text content of specific pages from a document. Use this to read document content before creating highlights. Returns up to 5 pages per request. If the requested range exceeds 5 pages, use has_more and next_page_start to paginate through remaining pages.

• highlyt_get_document_images

  Retrieve images (charts, graphs, figures, diagrams, photos) and their surrounding text context from an EPUB or web clip document. WHEN TO USE THIS TOOL: - User asks about a chart, graph, figure, diagram, or image in a document - User wants visual data or illustrations from a book

• highlyt_create_text_highlight

  Create a text-based highlight on a specific page. Use this after reading page content with highlyt_get_page_text. The highlight will appear in the sidebar and be searchable/exportable. Copy the exact text from the page content for the 'text' field.

• highlyt_bulk_create_highlights

  Create multiple text-based highlights in one batch (max 10 per request). Efficient for chapter analysis — create highlights in batches of up to 10. If you have more than 10, split into multiple calls. Highlight format: {page_number: int, text: str, comment?: str, color?: str} Col

• highlyt_export_highlights

  Export document highlights for AI context with pagination. Returns up to 'limit' highlights (default 20, max 50) starting from 'offset'. Use has_more and next_offset to paginate through all highlights. Includes document metadata, color meanings, and insight threads relevant to th

• highlyt_search_highlights

  Search highlights across your library. Finds highlights containing the query text. Each result includes the color meaning based on the document's definitions. Optionally limit to a specific document.

• highlyt_search

  Full-text search across your entire library — documents, highlights, and page content. This searches the actual text content of your PDFs (every page), highlight text/comments, and document metadata (title, author, keywords). Results are ranked by relevance with text snippets sho

• highlyt_list_research_projects

  List the caller's research projects for a bounded AI research task.

• highlyt_list_references

  List reviewed references, optionally in one project. Drafts are excluded unless include_drafts is explicitly true. Never cite a draft as a verified source.

• highlyt_get_reference

  Get one reviewed research reference. Never cite a draft without explicit permission.

• highlyt_export_references

  Export reviewed references as BibTeX, RIS, or canonical CSL-JSON. This always excludes drafts. Never cite a draft as a verified source.

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

• ! 注意

  作者与仓库一致

  注册中心没有列出源代码仓库，因此无法将发布者（highlyt.app）与代码对应起来

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 871 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 28 个工具描述，未发现针对 AI 的隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

• 星标数多于此分类中其他 5676 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 5676 个服务器的 64% 更新
• 基础检查结果等于或优于此分类中其他 5676 个服务器的 39%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

作者的 README

仓库中没有找到 README