$ loading_
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.
Retrieve, organize, and write atomic learning notes in an Obsidian vault.
Access Wikipedia in structured ways for search, summaries, images, and links.
Search, validate, and cross-reference structured Markdown knowledge vaults for AI workflows.
Manage Wiki.js pages, navigation, groups, and Git sync through GraphQL.
Add persistent memory and BM25 search to Obsidian across AI sessions.