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Compile web sources into backlink-rich wiki pages and query them via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "wiki-compiler" yet — see the docs or source repo.
Please compile these web sources into Obsidian-compatible wiki pages, group them by topic, add bidirectional links, and create an overview index page: 1. https://example.com/article1 2. https://example.com/article2 3. https://example.com/article3
A structured set of wiki pages with topic grouping, backlinks between pages, and an overview index.
Compile the following competitor websites, blogs, and pricing pages into a knowledge base. Extract product features, target users, and pricing strategies, then create linked pages across competitors for later comparison queries.
A queryable competitor wiki knowledge base with dedicated pages for each competitor and cross-linked comparisons.
Search the current knowledge base for pages related to “vector databases,” summarize the core concepts and common use cases, and list the titles of strongly related pages.
A knowledge-base-grounded summary plus related page titles and linkage cues.
Turn a git-backed Markdown folder into a persistent MCP wiki server.
Connect to Wiki.js to search, read, list, and create pages.
Index, search, and manage local Markdown wiki content efficiently.
Save, search, and link Markdown notes as a lightweight personal wiki.
Search and read WikiJS documentation pages through GraphQL for AI workflows.
Connect Obsidian vaults to AI for searchable, structured, efficient editing.