knowledge-connect

Knowledge Connect — Discover Links Between Your Notes

Analyze documents in your Yuque knowledge base, find hidden connections between them — similar topics, complementary content, shared concepts — and suggest cross-reference links to help you build a connected knowledge network.

When to Use

• User wants to find connections between their notes
• User says "帮我找找文档之间的关联", "哪些笔记是相关的", "connect my notes"
• User just finished writing a document and wants to link it to related ones
• User says "这篇文档和哪些笔记有关", "find related documents"
• User wants to build a knowledge graph from their existing notes

Required MCP Tools

All tools are from the yuque-mcp server:

• yuque_list_books — List user's knowledge bases
• yuque_list_docs — List all documents in a knowledge base
• yuque_get_doc — Read document content for analysis
• yuque_search — Search for potentially related documents
• yuque_update_doc — Add cross-reference links to documents

Workflow

Step 1: Determine the Scope

Ask the user what to analyze:

Case A — Single document: User provides a specific document link. Find connections for this one document.

Case B — Entire knowledge base: User specifies a knowledge base. Analyze all documents within it.

Case C — Across knowledge bases: User wants cross-repo connections. Analyze documents across multiple repos.

For Case B/C, first list available repos:

Tool: yuque_list_books

Then list documents in the target repo(s):

Tool: yuque_list_docs
Parameters:
  repo_id: "<namespace>"

Step 2: Analyze Documents

For each document in scope, fetch its content:

Tool: yuque_get_doc
Parameters:
  repo_id: "<namespace>"
  doc_id: "<slug>"

Extract the following from each document:

Element	Description
Topics	Main subjects the document covers
Key Concepts	Important terms, frameworks, or ideas
Questions	Questions raised but not fully answered
References	External sources or concepts mentioned
Domain	The knowledge area (tech, management, personal, etc.)

Step 3: Discover Connections

Compare documents pairwise and identify these types of connections:

Connection Type	Description	Example
🔄 Same Topic	Documents covering the same subject from different angles	Two articles about "distributed systems"
🧩 Complementary	One document answers questions raised in another	A "why microservices" doc + a "microservices pitfalls" doc
📚 Sequential	Documents that form a natural reading sequence	"Intro to X" → "Advanced X" → "X in Practice"
🌱 Evolution	Earlier and later thinking on the same topic	A draft idea → a refined version months later
🔗 Shared Concept	Documents that reference the same key concept	Multiple docs mentioning "second brain" methodology

For single-document analysis, also search for related documents:

Tool: yuque_search
Parameters:
  query: "[key topics from the document]"
  type: "doc"

Step 4: Present Connection Map

Present the discovered connections to the user:

## 🕸️ 知识关联分析

分析范围：[知识库名称] — [N] 篇文档
发现 [X] 组关联

### 关联 1：[主题/概念名称]

| 文档 | 关联类型 | 关联强度 |
|------|----------|----------|
| [文档 A 标题](链接) | 🔄 同主题 | ⭐⭐⭐ |
| [文档 B 标题](链接) | 🧩 互补 | ⭐⭐⭐ |
| [文档 C 标题](链接) | 🔗 共享概念 | ⭐⭐ |

**关联说明**：[为什么这些文档相关，它们之间的具体联系是什么]

**建议**：[具体的交叉引用建议，如 "在文档 A 的第二节末尾添加指向文档 B 的链接"]

### 关联 2：[主题/概念名称]

...

### 🏝️ 孤岛文档

以下文档暂未发现明显关联：
- [文档标题](链接) — 可能需要补充更多内容后再分析

### 💡 建议

1. [建议 1：如 "建议创建一篇索引文档，串联关于 X 主题的 5 篇笔记"]
2. [建议 2：如 "文档 A 和文档 B 观点互补，可以合并成一篇完整的指南"]

Step 5: Add Cross-References (Optional)

Ask the user: "要自动在相关文档中添加交叉引用链接吗？"

If confirmed, for each document that needs cross-references:

Tool: yuque_get_doc
Parameters:
  repo_id: "<namespace>"
  doc_id: "<slug>"

Append a "Related Notes" section at the end:

---

## 📎 相关笔记

- 🔄 [相关文档标题](链接) — [一句话说明关联]
- 🧩 [相关文档标题](链接) — [一句话说明关联]

*由 AI 分析生成的关联推荐 — YYYY-MM-DD*

Tool: yuque_update_doc
Parameters:
  repo_id: "<namespace>"
  doc_id: "<slug>"
  body: "<original content + related notes section>"

Confirm: "已为 [N] 篇文档添加了交叉引用链接 ✅"

Guidelines

• Always answer in the same language the user used (Chinese or English)
• Connection strength should be based on actual content overlap, not just title similarity
• Be specific about why documents are connected — vague "they're related" is not helpful
• Don't force connections — if two documents aren't meaningfully related, don't link them
• For large knowledge bases (> 50 docs), suggest analyzing in batches by topic area
• The "孤岛文档" section is valuable — it helps users identify notes that need more context
• When adding cross-references, never modify the original content — only append at the end
• Suggest creating index/hub documents for topics with 3+ related notes

Error Handling

Situation	Action
Document not found (404)	Skip the document and note it in the report
Permission denied (403)	Tell user they may lack permission to access this document
Knowledge base is empty	Inform user: "该知识库还没有文档，先写几篇笔记再来分析关联吧"
Knowledge base has < 3 documents	Inform user: "文档数量较少，建议积累更多笔记后再做关联分析，效果会更好"
yuque_update_doc fails	Present the suggested cross-references in chat for manual adding
Too many documents to analyze at once	Suggest narrowing scope: "知识库文档较多，建议先选一个主题方向分析"