Omnivore (Read-Later) Connector for AI agents.

Q: Can I filter my search by labels or read status?

Yes. Use the searcharticles tool with Omnivore's search syntax, such as label:AI or is:unread, to narrow down your results.

Q: How do I get the actual text of a saved page for analysis?

Use the getarticle tool by providing the article's unique slug and the owner's username. The agent will retrieve the full text content and metadata.

4 live capabilities

Turn your saved bookmarks into an interactive knowledge base for research and content creation.

Live agent request Omnivore (Read-Later) / Connector

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AI Agent

Why people use Omnivore (Read-Later)

Omnivore (Read-Later) for Research and Content Curation

This Connector changes that by making your library searchable and readable by your AI agent. You can ask your agent to find every article you've saved about a specific topic and have it summarize the key takeaways in seconds. You go from digging through a pile of links to having a research assistant that knows exactly what you've collected.

What Vinkius changes

It turns your saved bookmarks into an interactive knowledge base your AI can actually use.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

Real-world use case 01

Finding a specific paper

A researcher asks for unread articles about machine learning and gets a list of links to choose from.
Real-world use case 02

Summarizing a long read

A student provides a link and asks the agent to save it and then summarize the main points in a few bullets.
Real-world use case 03

Content research

A blogger asks the agent to find all articles labeled newsletter to find inspiration for a new post.

Complete set · 4capabilities

The complete Omnivore (Read-Later) capability set.

These are the exact actions your AI can choose when you ask it to work with Omnivore (Read-Later).

Capability set01 / 01

01—04

4 capabilities in this set.

Part of 4 available through Omnivore (Read-Later).

01 Capability
Search articles
Finds specific content using labels, folders, or read status filters like is:unread.
02 Capability
Get article
Fetches the complete text and metadata for a specific article so your agent can read the whole thing.
03 Capability
Get me
Retrieves your current account information to verify that your connection is active.
04 Capability
Save url
Adds a new web link to your Omnivore library immediately from your chat window.

Set up in minutes

One URL. Then ask Omnivore (Read-Later) to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Omnivore (Read-Later) from the conversation.

Choose your client

Live preview

Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_e0lCuq3YhluUqdYO6MN37sEg8a31l16jxuwtJbtt/mcp

Step 01

Open Connectors

In Claude Web or Claude Desktop, open Settings and choose Connectors.
Step 02

Add the URL

Choose Add custom connector, name it Omnivore (Read-Later), and paste the URL above.
Step 03

Turn it on in chat

Select +, open Connectors, and enable Omnivore (Read-Later) for the conversation.

ChatGPT · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_e0lCuq3YhluUqdYO6MN37sEg8a31l16jxuwtJbtt/mcp

Step 01

Open MCP settings

On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
Step 02

Add the URL

Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Omnivore (Read-Later) URL.
Step 03

Save and start

Save the connection and enable Omnivore (Read-Later) in your conversation. Desktop may ask you to restart once.

Cursor · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "omnivore-read-later": {
      "url": "https://edge.vinkius.com/vk_preview_e0lCuq3YhluUqdYO6MN37sEg8a31l16jxuwtJbtt/mcp"
    }
  }
}

Step 01

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Step 02

Add the server config

Paste the JSON configuration above into the mcp.json file that opens
Step 03

Save the file

Cursor will automatically detect the new Connector
Step 04

Start using Omnivore (Read-Later)

Open Agent mode in chat and ask: "Using Omnivore (Read-Later), help me...". 4 tools available

VS Code Copilot · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "omnivore-read-later": {
      "url": "https://edge.vinkius.com/vk_preview_e0lCuq3YhluUqdYO6MN37sEg8a31l16jxuwtJbtt/mcp"
    }
  }
}

Step 01

Create MCP config

Create a .vscode/mcp.json file in your project root
Step 02

Add the server config

Paste the JSON configuration above
Step 03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Step 04

Start using Omnivore (Read-Later)

Ask Copilot: "Using Omnivore (Read-Later), help me...". 4 tools available

Windsurf · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "omnivore-read-later": {
      "url": "https://edge.vinkius.com/vk_preview_e0lCuq3YhluUqdYO6MN37sEg8a31l16jxuwtJbtt/mcp"
    }
  }
}

Step 01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Step 02

Add the server

Paste the JSON configuration above into mcp_config.json
Step 03

Save and reload

Windsurf will detect the new server automatically
Step 04

Start using Omnivore (Read-Later)

Open Cascade and ask: "Using Omnivore (Read-Later), help me...". 4 tools available

Cline · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "omnivore-read-later": {
      "url": "https://edge.vinkius.com/vk_preview_e0lCuq3YhluUqdYO6MN37sEg8a31l16jxuwtJbtt/mcp"
    }
  }
}

Step 01

Open Cline MCP Settings

Click the Connectors icon in the Cline sidebar panel
Step 02

Add remote server

Click "Add Connector" and paste the configuration above
Step 03

Enable the server

Toggle the server switch to ON
Step 04

Start using Omnivore (Read-Later)

Ask Cline: "Using Omnivore (Read-Later), help me...". 4 tools available

Claude Code · Terminal command

Official guide ↗

Advanced setup

claude mcp add omnivore-read-later --transport http "https://edge.vinkius.com/vk_preview_e0lCuq3YhluUqdYO6MN37sEg8a31l16jxuwtJbtt/mcp"

Step 01

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed
Step 02

Add the Connector

Run the command above in your terminal
Step 03

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session
Step 04

Start using Omnivore (Read-Later)

Ask Claude: "Using Omnivore (Read-Later), show me...". 4 tools are ready

Where the request belongs

Work Omnivore can move forward.

Built around the request

This is for people who hoard links but struggle to actually use them. It's for the researcher with 500+ tabs open, the content creator looking for specific source material, and the student trying to organize a massive bibliography.

Academic Researcher

Finds and summarizes specific papers from a curated library during a writing session.

Content Marketer

Pulls inspiration from saved news articles to draft weekly newsletters.

Knowledge Worker

Quickly retrieves saved documentation or how-to guides when stuck on a task.

Build the capability set

Each Connector adds new actions and data without changing how you work.

Browse Connectors

01 12 capabilities

Pocket

Save articles, videos, and web pages to read later with a personal content library that syncs across all your devices.

View Connector

02 6 capabilities

Readwise

Equip your AI to directly search, read, and retrieve your unified digital highlights, books, and Reader documents stored in Readwise.

View Connector

03 6 capabilities

Jina AI

Search and read the web for AI. audit search results and reader content via AI.

View Connector

04 4 capabilities

SaveDay

Capture, organize, and summarize content from URLs, text, and images directly into your SaveDay knowledge base.

View Connector

05 10 capabilities

Inoreader

Follow hundreds of news sources and blogs with a powerful RSS reader that filters, organizes, and prioritizes content for you.

View Connector

06 11 capabilities

Wallabag (Pocket Alternative)

Manage your self-hosted read-it-later list. save URLs, organize with tags, and retrieve article content directly from your AI agent.

View Connector

Bring your own AI

Change the model, client or framework. Keep Omnivore connected.

Claude
ChatGPT
Gemini
Cursor
VS Code
Windsurf
ZCode
Cline
Zed
Continue
Kiro
Roo Code
Zencoder
Goose
Void
Augment Code
Amp
Qodo
Tabnine
Pieces
Sourcegraph Cody
JetBrains
Warp
Amazon Q
Antigravity
BoltAI
Raycast
Jan
LM Studio
AnythingLLM
Open WebUI
Msty
Cherry Studio
LibreChat
TypingMind
Chorus
5ire
n8n
LangChain
LlamaIndex
CrewAI
Vercel AI SDK

Before you connect

Questions about Omnivore.

The practical details behind the request, access and result.

Can I use Omnivore (Read-Later) MCP to find my saved bookmarks?

Yes. It lets your AI agent search through your entire Omnivore library using labels, folders, and read status to find exactly what you're looking for.

How does Omnivore (Read-Later) MCP help with research?

It lets your agent pull the full text of saved articles into your chat. This makes it easy to summarize long pieces or find specific information across multiple saved sources quickly.

Can I save new links to my Omnivore library using an AI agent?

Yes. You can just give your agent a URL and tell it to save it. It will then add that link to your Omnivore library automatically so you can read it later.

Does Omnivore (Read-Later) MCP work with Claude or Cursor?

Yes. It works with any MCP-compatible client, including Claude, Cursor, and Windsurf, giving those capabilities access to your saved content.

Can I use Omnivore (Read-Later) MCP to see my account details?

Yes. You can ask your agent to check your account info to verify your connection status and ensure your API key is working correctly.

Will Omnivore (Read-Later) MCP help me organize my reading list?

It makes your list much more useful by allowing your agent to filter content. You can ask it to find only unread articles or content within specific folders.

Can I filter my search by labels or read status?

Yes. Use the search_articles capability with Omnivore's search syntax, such as label:AI or is:unread, to narrow down your results.

How do I get the actual text of a saved page for analysis?

Use the get_article capability by providing the article's unique slug and the owner's username. The agent will retrieve the full text content and metadata.

Is it possible to add new links to my library via the agent?

Yes, the save_url action allows you to send any web link directly to your Omnivore library for later reading.

One connection away

Give your agent a direct line to Omnivore.

Connect Omnivore once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available

Omnivore (Read-Later) for Research and Content Curation

It turns your saved bookmarks into an interactive knowledge base your AI can actually use.

Finding a specific paper

Summarizing a long read

Content research

Search articles

Get article

Get me

Save url

Open Connectors

Add the URL

Turn it on in chat

Open MCP settings

Add the URL

Save and start

Open MCP Settings

Add the server config

Save the file

Start using Omnivore (Read-Later)

Create MCP config

Add the server config

Enable Agent mode

Start using Omnivore (Read-Later)

Open MCP Settings

Add the server

Save and reload

Start using Omnivore (Read-Later)

Open Cline MCP Settings

Add remote server

Enable the server

Start using Omnivore (Read-Later)

Install Claude Code

Add the Connector

Verify the connection

Start using Omnivore (Read-Later)

Academic Researcher

Content Marketer

Knowledge Worker

Pocket

Readwise

Jina AI

SaveDay

Inoreader

Wallabag (Pocket Alternative)

Give your agent a direct line to Omnivore.