Molio Knowledge Base

Name: Molio Knowledge Base
Author: zhuzhaoyun

by zhuzhaoyunversion 0.1.2i★ –iRuns on your computer

Registry nameio.github.zhuzhaoyun/molio

Install

Overview

Description from the maker (original English)

Read-only access to your Molio local knowledge base: search, read, browse, and AI Q&A.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: MOLIO_PORT

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "molio": {
      "command": "npx",
      "args": [
        "-y",
        "@molio/cli",
        "mcp"
      ],
      "env": {
        "MOLIO_PORT": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add molio --env MOLIO_PORT=your-value -- npx -y @molio/cli mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "molio": {
      "command": "npx",
      "args": [
        "-y",
        "@molio/cli",
        "mcp"
      ],
      "env": {
        "MOLIO_PORT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "molio": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@molio/cli",
        "mcp"
      ],
      "env": {
        "MOLIO_PORT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

MOLIO_PORT env
Port of the Molio daemon HTTP API (default: 3100)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account zhuzhaoyun, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7284 servers in this category
Published to the registry more recently than 73% of the other 7284 servers in this category
Basic checks equal to or better than 100% of the other 7284 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Molio Knowledge Base safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 14 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

📚 Molio

Give AI your personal knowledge base. Local-first, and every byte stays yours.

English · 中文 · 🌐 Official Website

What you've accumulated isn't one kind of thing: experience and methods scattered across notes, documents, and chat logs — and also whole books, PDFs full of figures, piles of industry material. Most of it sits in a form AI can't read, so every conversation starts from zero.

Molio turns all of it into a personal knowledge base that AI can read and use: Claude Code, Codex, and other agents enter your knowledge space, work on top of everything you've accumulated — researching, writing, answering, analyzing — and write their results back as Markdown, so the base grows thicker with every task. Everything runs on your machine, never through a third-party server.

Starting from zero? The resource library ships ready-made knowledge bases that keep growing — import one and start asking.

▶ Click to watch the demo — one book, one knowledge universe: 1,362 years of history from the *Zizhi Tongjian*, processed by Molio into an AI-explorable knowledge base

🔁 How It Works

01 · Collect & Process — scattered fragments, or a whole book, all become a callable knowledge base

Input isn't limited by format: clip pages with one click via the Web Clipper, open your Obsidian vault directly, or batch-import local documents. Scanned PDFs and Word / PPT / Excel files go through the bundled docling for layout analysis, OCR, and table reconstruction; images are read by OCR; million-word books run through a chunked preprocessing and digest pipeline with resumable progress. What lands on disk is plain Markdown — zero migration, no lock-in.

The Wiki engine then extracts entities and concepts from that unified Markdown layer, weaving dense cross-links and layered indexes — data becomes a foundation only after it's processed.

02 · Work & Task — agents run on your data

Claude Code, Codex, Gemini CLI, Qwen Code — agents work inside your knowledge space, researching, writing, answering, and analyzing. What they see is no blank slate, but everything you've accumulated. Pick an agent in a unified GUI with streaming output; scan a QR code to chat with your base from your phone via WeChat.

03 · Reflow & Deposit — the base grows thicker with use

Every task's output is written back as Markdown — a reusable, long-term asset. The knowledge graph keeps growing, so the next task starts from higher ground. Ready to publish? Typeset with doocs/md and distribute to 30+ platforms in one click.

📥 Supported Inputs

Input	What happens
Markdown / TXT / HTML / CSV and other text	Read as-is — the default shape of a knowledge base
PDF	Layout analysis + OCR + table reconstruction → Markdown
Word / PPT / Excel	Same pipeline, heading hierarchy and tables preserved
Images (PNG / JPG / TIFF)	OCR text extraction
Web pages	One-click clip, or article extraction for WeChat posts
Obsidian vault	Opened in place — original files are read-only
Million-word books	Chunked preprocessing + digest pipeline, resumable

PDF and Office conversion is handled by the bundled docling skill. The first conversion downloads the tool plus ~500MB of models; later runs reuse the cache.

📦 Ready-made Knowledge Bases

Beyond the tool itself, Molio offers ready-made structured knowledge graphs — entire books and professional domains pre-organized into AI-ready knowledge bases you can import in one click, no building from scratch.

Covering literature, history, philosophy, traditional Chinese medicine, medicine, and AI engineering, with new resources added regularly. Highlights include the ontology knowledge base, the *Zizhi Tongjian* knowledge system, and an obstetric-ultrasound knowledge base. See the resource library for the full, always-current catalog.

These are uniquely structured assets that AI cannot conjure on its own. Import one into Molio and instantly run AI Q&A, relationship lookup, and topical research.

[Browse all resources →](https://molio.cn/resources.html)

📡 Channels

A single Molio instance can serve multiple channels in parallel. Most channels can be onboarded right from the Web console.

Channel	Text	Image	File	Voice	Group
Web Console (default)	✅	✅	✅	✅	—
WeChat	✅	✅	✅	⏳	⏳
Feishu	✅	✅	✅	⏳	✅
Telegram	⏳	⏳	⏳	⏳	⏳
Slack	⏳	⏳	⏳	—	⏳
Discord	⏳	⏳	⏳	—	⏳

✅ Supported · ⏳ Planned · — N/A

🖼️ Screenshots

Agent Workbench: multi-agent support with streaming responses

Knowledge Space: vault file tree with Markdown rendering

Knowledge Graph: visual map of your knowledge connections

Publishing: one-click sync to 30+ platforms

🚀 Quick Start

Installation

Download the latest release from GitHub Releases:

Windows: Molio-Setup-x.x.x.exe
macOS: Molio-x.x.x.dmg

Install and launch. On first run, you'll be guided to configure an AI runtime CLI (e.g., Claude Code, Codex, Gemini).

🐳 Docker / NAS Deployment (self-hosted)

Run Molio as a self-hosted web service on a NAS or server. A single container bundles the daemon, web UI, and Claude Code CLI, and works on both linux/amd64 and linux/arm64 — Synology, QNAP, TerraMaster, TrueNAS, Unraid, and most other NAS devices.

⚠️ How this differs from the desktop app (read before deploying)

- Browser access only — there is no desktop client for this mode. The Electron desktop app only ever talks to the daemon it launches locally (localhost); it cannot connect to a container running on a remote NAS/server.

- The daemon runs inside the container and can only read/write directories mounted into it. The desktop workflow of "pick any local folder as a knowledge base via a folder picker" does not apply here — the browser has no folder picker, so when you add a knowledge base you type a container-internal path (e.g. /vaults/your-folder, not the NAS host path).

- To expose folders as knowledge bases, mount them under /vaults in docker-compose.yml volumes. Your data still stays entirely yours (on your NAS) — only the access model changes, from "desktop app" to "browser + mounted volumes".

One-click install (requires Docker + Docker Compose v2):

# China (recommended)

curl -fsSL https://molio-releases.oss-cn-guangzhou.aliyuncs.com/script/install.sh | bash

Overseas

curl -fsSL https://raw.githubusercontent.com/zhuzhaoyun/Molio/main/install.sh | bash

Offline (clone the repo first, then run the bundled script)

bash install.sh

The script asks for your knowledge-base directory and port, then pulls the image and starts the service. When it finishes, open http:// :3100, then go to Settings → Runtimes to configure your AI model and API key. On first boot Molio auto-creates a default knowledge base on the mounted directory, so you land straight inside — no manual setup.

Manual install (if you prefer plain docker compose):

git clone https://github.com/zhuzhaoyun/Molio.git && cd Molio

cp .env.example .env # AI model is configured later in the web UI docker compose up -d # then open http:// :3100

Everyday commands (run inside the install directory, default ~/molio):

docker compose logs -f                          # follow logs

docker compose restart # restart docker compose pull && docker compose up -d # update to the latest image docke

Only the beginning is shown; read the rest in the repo

Molio Knowledge Base

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

📚 Molio

🔁 How It Works

📥 Supported Inputs

📦 Ready-made Knowledge Bases

📡 Channels

🖼️ Screenshots

🚀 Quick Start

Installation

🐳 Docker / NAS Deployment (self-hosted)

Overseas

Offline (clone the repo first, then run the bundled script)