Omnivore (Read-Later) MCP Server with 4 Tools for Claude, Cursor, and AI Agents

Name: Omnivore (Read-Later)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Manage your Omnivore library — search articles, read full content, and save new links directly from your AI agent. Vinkius routes your AI agents directly to Omnivore (Read-Later) through a governed connection. 4 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.

Built for AI Agents by Vinkius

Ask AI about this server

Open in ChatGPT Open in Claude Open in Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

What is the Omnivore MCP Server?

The Omnivore MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to Omnivore via 4 tools. Manage your Omnivore library — search articles, read full content, and save new links directly from your AI agent. Powered by Vinkius — your credentials stay on your side of the connection, every request is auditable. Connect in under 2 minutes.

Built-in capabilities (4)

get_articleget_mesave_urlsearch_articles

Tools for your AI Agents to operate Omnivore

Ask your AI agent "Search my Omnivore library for unread articles about 'Machine Learning'." and get the answer without opening a single dashboard. With 4 tools connected to real Omnivore data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by Vinkius — your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you the infrastructure to connect your AI agents to thousands of MCP servers — and deploy your own to the Vinkius Edge. Your credentials stay yours. Your data flows directly between your agent and the API. DLP blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade routing and governance, zero maintenance.

Build your own MCP Server with our secure development framework →

The Omnivore (Read-Later) App Connector works with every AI agent you already use

…and any MCP-compatible client

Use all 4 Omnivore (Read-Later) tools with your AI agents right now

Vinkius routes your AI agents to Omnivore (Read-Later) through a governed proxy. Beyond a simple connection, you get full visibility into every action your agents perform, with enterprise-grade security and up to 60% savings on AI costs.

Explore Tools Hub

get

Get article on Omnivore (Read-Later)

Get full content of a specific article

get

Get me on Omnivore (Read-Later)

Get current Omnivore user details

save

Save url on Omnivore (Read-Later)

Save a URL to Omnivore library

Search articles on Omnivore (Read-Later)

g., label:Newsletter, in:inbox, is:unread, has:highlights) to find articles. Search and filter articles in Omnivore library

What the Omnivore (Read-Later) MCP Server unlocks

Connect your Omnivore account to any AI agent to organize your reading list and extract knowledge from saved articles using natural language.

What you can do

Search & Filter — Use the search_articles tool to find content using labels, folders, or read status (e.g., 'is:unread label:AI')
Full Content Retrieval — Use get_article to fetch the complete text, author, and labels for deep analysis or summarization
Quick Saving — Use save_url to instantly add new web links to your library without leaving your conversation
User Profile — Use get_me to verify your account details and connection status

How it works

1. Subscribe to this server
2. Enter your Omnivore API Key
3. Start managing your reading list from Claude, Cursor, or any MCP-compatible client

Who is this for?

Researchers — quickly find and analyze saved papers or articles within their library
Content Creators — retrieve source material and inspiration from their curated reading list
Knowledge Workers — maintain a seamless flow between reading and acting on information

Frequently asked questions about the Omnivore (Read-Later) MCP Server

Can I filter my search by labels or read status?

Yes. Use the search_articles tool 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 tool 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.

We built the connector to Omnivore (Read-Later). Now put your agents to work. Fully governed.

Vinkius is the AI Gateway with managed hosting. Stop building connectors. Every connection runs inside eight layers of security.

How it works

Infrastructure

Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.

Visibility

Every tool call, every token, every response. Logged and auditable. Data flows direct from Omnivore (Read-Later) to your agent. Nothing is stored on our side. Ever.

Control

Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.