llm-wiki-compiler

Compile raw materials into interconnected wikis for use by both AI and humans.

MCPResearchOpen source

Type: MCP
Transport: http
Open source: Yes
GitHub Stars: ★ 2.2k
Source: mcp-github
Repository: github.com/atomicstrata/llm-wiki-compiler

Overview

llm-wiki-compiler is a knowledge compiler that transforms raw materials such as papers, notes, READMEs, transcripts, PDFs, images, or web pages into structured wiki pages. These pages include citation tracking, review status, and retrieval metadata, making them ideal for building persistent knowledge bases. By configuring lifecycle profile files, users can define records, relationships, review thresholds, and workflows. The tool supports multiple output formats and can be accessed via the MCP protocol.

Capabilities

▪Compile raw materials into structured wiki pages
▪Provide citation tracking and review status
▪Support multiple output formats
▪Access via MCP protocol
▪Configure lifecycle profile files

Use cases

Building research knowledge basesKnowledge management in editorial workflowsGenerating stable context packages for AI useAuditing generated knowledge

Setup

Requires: Node 环境API Key

npm install -g llm-wiki-compiler

This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.

FAQ

How do I get started with llm-wiki-compiler?

Run `llmwiki init` after installation to initialize your project.

What input formats are supported?

Supports papers, notes, READMEs, transcripts, PDFs, images, and web pages.

How do I configure the lifecycle profile file?

Edit the `.llmwiki/profile.json` file.

Related skills

Scrapling

An adaptive web scraping framework capable of handling everything from single requests to large-scale scraping.

MCP

TrendRadar

An AI-driven tool for sentiment monitoring and trend analysis, supporting multi-platform aggregation, RSS subscription, and intelligent notifications.

MCP