Listed from the MCP registry; nobody on Odel publishes it.

driftnet

Name: driftnet
Author: kevinchu1110

@kevinchu1110MCP server · External

A local catalogue of the links your chats share: search, save and file them. Any model, or none.

Bookmarks & read-laterv1.2.1MITTypeScript

Freeno charge per call

How to install

Runs on your machine from its package; the steps are below.

driftnet demo: a link dropped in a chat becomes a sorted, explained card you can search, and your agent can use it — From the README · 1 of 4

What it does

Reads
Writes
High impact

At most: creates or changes data: records, files, settings.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Runs locally over stdio

This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).

npmdriftnetv1.2.1

Run

npx -y driftnet

MCP client config

{
  "mcpServers": {
    "driftnet": {
      "command": "npx",
      "args": [
        "-y",
        "driftnet"
      ]
    }
  }
}

README9 min readView on GitHub

English · 繁體中文

▶ Try the demo · Website · Chrome extension · Docs

🆕 1.2 is out: chat replies link each card with its own signature instead of the share key, LINE answers before its reply token expires, model and embedding endpoints go through the SSRF guard, and yt-dlp gets a cookies file and a stale-version warning. What's new · What stays stable

driftnet demo: a link dropped in a chat becomes a sorted, explained card you can search, and your agent can use it

📖 What it is

Every day your feed carries great articles, open-source repos and tools past you. You paste them into a chat "for later", and like everything else in the current, they drift out of sight.

driftnet is the net you leave in that current. Drop links in a group chat (LINE, Slack, Discord, Telegram), click the Chrome button, import your old bookmarks or use the command line. driftnet catches each one, follows a post to the project it is really about, boils it down to a short summary in your language, and files it in your own folders, in a local catalogue with full-text search (Chinese included). Your agents haul in the same catalogue over MCP. It runs on your own computer and works with any model, or none.

🎥 See it work

1. A post becomes the tool. A Facebook reel with no links in it goes into the chat. driftnet reads the caption, finds both repos on GitHub by exact name, and files each as its own card. The chat gets one line; the summary is on the page.

text

you ▸ this week's AI roundup https://www.facebook.com/share/v/1DfVB2odi3/

bot ▸ 📌 This week in AI (3/11)｜News ＋ Paperclip, RealWonder
      https://driftnet.example/#item-1

The driftnet card list: each shared post is now the repo it was about, with a one-line summary, its folder and how many times it was shared

_{From a real run. The post had no links: driftnet read the caption and found both repos on GitHub by name.}

2. Know what it is at a glance. Before: a bare link in a chat. After: a card with pictures from the page, a one-line answer, what you'll see and why it's here, so you can tell in seconds whether to open it.

A card opened: pictures, the one-line summary, What you'll see, Why it's here, and buttons to open the link, favorite, move, add a note or refresh

3. Sort with the mind map. New links the AI filed on its own wait in the Inbox with two or three suggested folders. Or drag a card onto a folder on the mind map, which branches out from the root like XMind.

The mind map: folders branching out from driftnet, cards under them, the read-only view on a phone

✨ Core features

Catch the link

🎯 Finds the actual tool. A post linking a repo becomes the repo; a post that only names projects gets them looked up on GitHub by exact name. Links a model makes up are thrown away.
💬 Reads "link in the comments". The Chrome extension opens the comments; a weekly roundup becomes one item per project.
📥 Many ways in. A Chrome button, Discord, Telegram, Slack or LINE bots, your agent, or one HTTP call (Ways in).

Understand and sort it

🖼️ Cards you can read at a glance. Pictures, a one-line answer, what you'll see, why it's here.
🗂️ Your folders are the categories. The AI files new links by each folder's path and description; its suggestions wait in the Inbox.
🧠 Mind map and split view. Drag cards onto folders; ✨ AI tidy-up proposes a plan that changes nothing until you apply it (the web page).
📱 A page you can search, on a phone too. Notes, undo and trash, keyboard shortcuts, read-only share links.
🚫 Not a read-later app. Pocket and Raindrop keep the link you gave them. driftnet follows the post to the tool it is about, keeps a short outline instead of the whole page, and lets your agents read and write the same catalogue over MCP.

Cheap, safe and yours

💸 Spends almost nothing. Repeat links are free and pages are cut to an outline of about 350 tokens before any model sees them. Five real Facebook reels were judged for $0.00029 in total.
⚖️ Optional judge. Jev (needs a TypeSafe key) decides in ~100 ms what is worth summarising. Without it, your model sorts each link.
🗳️ Learns what to ignore. 👎 a result and its publisher loses reputation; sources that keep getting voted down stop costing anything.
🛡️ Safe by default. Private and local addresses are refused, and prompt injection is never passed on to agents.
🤖 Agents use it too. MCP, /openapi.json, /llms.txt, /feed.xml and an outgoing webhook; or let them do the reading (Agents).
🧩 Any model or none, and it stays yours. A free local model through Ollama, a Claude or Gemini subscription you already have, a paid API key (pennies), or no model (links are then saved and wait unsorted under "Other"). Local SQLite; English and Traditional Chinese throughout.

🚀 Quick start

Everything runs on your own computer: no server to rent, no account. Want a look first? Try the demo runs the real page in your browser.

Easiest: let your AI agent install it

Copy this into Claude Code, Cursor, Codex or any agent that can run commands on your computer:

text

Read https://raw.githubusercontent.com/KevinChu1110/driftnet/main/docs/llms-install.txt and set up driftnet for me.

It checks Node.js, starts driftnet, connects itself over MCP and tells you when it is done.

Or run one command yourself

You need Node.js 22.13 or newer. Never used a terminal? Step by step for Mac and Windows. Then, in a terminal:

bash

npx driftnet

Your browser opens http://localhost:8787: that is driftnet's page, served by your own computer (localhost means "this machine"; nobody else can see it). ⚙ Settings → AI: pick a provider and fill in its key and model. Or skip it: links are still saved and wait unsorted under "Other", and an AI agent can write the summaries (Agents). To connect the AI apps on this computer (Claude Code, Claude Desktop, Cursor, Windsurf, Codex) in one go: npx driftnet init.

Closing that terminal window stops driftnet. To have it start at login and run in the background instead (macOS, Linux, Windows), run once:

bash

npx driftnet service install      # status: npx driftnet service status · undo: npx driftnet service uninstall

Your settings live in ~/.driftnet/.env and the catalogue in ~/.driftnet/driftnet.db.

Add your first link

Any of these works:

On the page: paste a link into the box and press Add.
In a terminal: npx driftnet add https://github.com/paperclipai/paperclip
From the browser: the Chrome extension sends the page you are looking at.
From a chat: paste a Discord, Telegram, Slack or LINE bot token in ⚙ Settings → Chats (how to get one) and drop links there.

A card shows up within 5–30 seconds: what it is, why it might matter to you, and where it was filed.

Other ways to run it: from source, Docker

From source, to hack on it or run it as a login service:

bash

git clone https://github.com/KevinChu1110/driftnet && cd driftnet
pnpm install
pnpm start                                                 # http://localhost:8787
pnpm service:install                                       # optional: start at login (macOS / Linux)

With Docker:

bash

docker build -t driftnet https://github.com/KevinChu1110/driftnet.git
docker run -d -p 127.0.0.1:8787:8787 -v driftnet:/data -e DRIFTNET_HOST=0.0.0.0 driftnet start

Without start, the container is the MCP server over stdio (docker run -i --rm -v driftnet:/data driftnet). DRIFTNET_HOME moves the settings and the catalogue somewhere else.

Not working?

Port 8787 is in use: another driftnet is probably running; open http://localhost:8787, or start this one with PORT=8788.
driftnet needs Node 22.13 or newer: install it with nvm install 22 or from nodejs.org.
Cards stay ⏳ with no summary: no model is set up yet. Choose one in ⚙ Settings → AI, or let your agent work the queue (Agents).
Opened from another computer and got 421: without a password driftnet only answers on this machine. Set a password (DRIFTNET_TOKEN), or list the address in DRIFTNET_ALLOWED_HOSTS.

Which setup is yours?

You are	Start with	Model
Just me, on my computer	The Chrome extension and the web page	A local one through Ollama (see Models), or none
A group chat	A Discord, Telegram, Slack or LINE bot, see Ways in	Any
My agents	MCP, the Claude Code plugin or the agent queue	None needed: the agent does the reading

📚 Docs


Install for beginners	Never used a terminal: Mac and Windows, step by step
How driftnet handles a link	The eight steps, reels and shorts, link health, search by meaning
Ways in	Chrome, Discord, Telegram, Slack, LINE, votes, the weekly digest
The web page	Cards, folders, mind map, AI tidy-up, notes, sharing, shortcuts
Chrome extension	What it captures on Threads, X and Instagram, install
Models	Picking a model (API, subscription, Ollama or none), judges, plugins
Agents	MCP tools, the Claude Code plugin, letting your agent do the reading
Command line	`driftnet add`, `search`, `export`, `backup` and the rest
Settings	Every setting, backup and restore
Putting it online	A password, a public URL, LINE webhooks
What stays stable	What 1.x promises not to break: your data, settings, MCP tools, API, CLI
Contributing	Layout, tests, releasing, extending

Where your data goes

Important

The catalogue stays on your machine. To judge and summarise a link, driftnet sends a digest (title, outline, the chat text it was shared with) to TypeSafe if Jev is on and to your model provider if one is set. Chat messages without a link are never processed or stored. With Ollama and DRIFTNET_JUDGE=off, nothing leaves your machine. Take it all with you any time: export to Markdown or an Obsidian / Notion vault from the sidebar, or GET /api/export. If you turn it on (DRIFTNET_UPDATE_CHECK=1), the only other call driftnet makes on its own is the once-a-day check for a new version (a plain request to the npm registry); it is off unless turned on.

Backup and restore

⚙ Settings › General › Backup downloads one zip of your catalogue and settings (passwords and keys left out unless you ask); npx driftnet backup does the same from a terminal. See Settings.

Contributing

Issues with a link driftnet handled badly are the most useful help: real links people share are how every feature here was found. Code: see CONTRIBUTING.md.

Support

driftnet is free and MIT. If it saves you time, a star helps others find it, and you can buy me a coffee.

License

MIT

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