Compatible with every major AI agent and IDE
What is the Omnivore (Read-Later) MCP Server?
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_articlestool to find content using labels, folders, or read status (e.g., 'is:unread label:AI') - Full Content Retrieval — Use
get_articleto fetch the complete text, author, and labels for deep analysis or summarization - Quick Saving — Use
save_urlto instantly add new web links to your library without leaving your conversation - User Profile — Use
get_meto verify your account details and connection status
How it works
- Subscribe to this server
- Enter your Omnivore API Key
- 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
Built-in capabilities (4)
Get full content of a specific article
Get current Omnivore user details
Save a URL to Omnivore library
g., label:Newsletter, in:inbox, is:unread, has:highlights) to find articles. Search and filter articles in Omnivore library
Why Claude Code?
Claude Code registers Omnivore (Read-Later) as an MCP server in a single terminal command. Once connected, Claude Code discovers all 4 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Omnivore (Read-Later) data drives decisions without human intervention.
- —
Single-command setup:
claude mcp addregisters the server instantly. no config files to edit or applications to restart - —
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
- —
Claude Code runs headlessly, enabling unattended batch processing using Omnivore (Read-Later) tools in cron jobs or deployment scripts
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Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
Omnivore (Read-Later) in Claude Code
Omnivore (Read-Later) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Omnivore (Read-Later) to Claude Code through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Omnivore (Read-Later) in Claude Code
The Omnivore (Read-Later) 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. All 4 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Claude Code only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Omnivore (Read-Later) for Claude Code
Every tool call from Claude Code to the Omnivore (Read-Later) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
How do I add an MCP server to Claude Code?
Run claude mcp add <name> --transport http "<url>" in your terminal. Claude Code registers the server and discovers all tools immediately.
Can Claude Code run MCP tools in headless mode?
Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.
How do I list all connected MCP servers?
Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.
Command not found: claude
Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code
Connection timeout
Check your internet connection and verify the Edge URL is reachable
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