Omnivore (Read-Later) MCP Server for WindsurfGive Windsurf instant access to 4 tools to Get Article, Get Me, Save Url, and more
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Omnivore (Read-Later) through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
Ask AI about this MCP Server for Windsurf
The Omnivore (Read-Later) MCP Server for Windsurf is a standout in the Productivity category — giving your AI agent 4 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
{
"mcpServers": {
"omnivore-read-later": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Omnivore (Read-Later) and 4,000+ MCP Servers from a single visual interface.





* 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
About 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.
Windsurf's Cascade agent chains multiple Omnivore (Read-Later) tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 4 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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
The Omnivore (Read-Later) MCP Server exposes 4 tools through the Vinkius. Connect it to Windsurf in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 4 Omnivore (Read-Later) tools available for Windsurf
When Windsurf connects to Omnivore (Read-Later) through Vinkius, your AI agent gets direct access to every tool listed below — spanning read-it-later, content-curation, bookmarking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get article on Omnivore (Read-Later)
Get full content of a specific article
Get me on Omnivore (Read-Later)
Get current Omnivore user details
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
Connect Omnivore (Read-Later) to Windsurf via MCP
Follow these steps to wire Omnivore (Read-Later) into Windsurf. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Open MCP Settings
Cmd+Shift+P and search "MCP"Add the server
mcp_config.jsonSave and reload
Start using Omnivore (Read-Later)
Why Use Windsurf with the Omnivore (Read-Later) MCP Server
Windsurf provides unique advantages when paired with Omnivore (Read-Later) through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 4 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Omnivore (Read-Later) + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Omnivore (Read-Later) MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Omnivore (Read-Later) and generate models, types, or handlers based on real API responses
Live debugging: query Omnivore (Read-Later) tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Omnivore (Read-Later) and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Omnivore (Read-Later) data with Cascade's code generation to scaffold entire features in minutes
Example Prompts for Omnivore (Read-Later) in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Omnivore (Read-Later) immediately.
"Search my Omnivore library for unread articles about 'Machine Learning'."
"Fetch the full content of the article with slug 'mcp-guide' for username 'alex_dev'."
"Save the URL 'https://blog.omnivore.app/p/getting-started' to my library."
Troubleshooting Omnivore (Read-Later) MCP Server with Windsurf
Common issues when connecting Omnivore (Read-Later) to Windsurf through Vinkius, and how to resolve them.
Server not connecting
Omnivore (Read-Later) + Windsurf FAQ
Common questions about integrating Omnivore (Read-Later) MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Explore More MCP Servers
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