Wallabag (Pocket Alternative) MCP Server with 11 Tools for Claude, Cursor, and AI Agents
Manage your self-hosted read-it-later list — save URLs, organize with tags, and retrieve article content directly from your AI agent. Vinkius routes your AI agents directly to Wallabag (Pocket Alternative) through a governed connection. 11 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.
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Compatible with every major AI agent and IDE

* 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 Wallabag MCP Server?
The Wallabag MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to Wallabag via 11 tools. Manage your self-hosted read-it-later list — save URLs, organize with tags, and retrieve article content 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 (11)
Tools for your AI Agents to operate Wallabag
Ask your AI agent "List my most recent articles from Wallabag." and get the answer without opening a single dashboard. With 11 tools connected to real Wallabag 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 Wallabag (Pocket Alternative) App Connector works with every AI agent you already use
…and any MCP-compatible client


















Use all 11 Wallabag (Pocket Alternative) tools with your AI agents right now
Vinkius routes your AI agents to Wallabag (Pocket Alternative) 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.
Add tags to entry on Wallabag (Pocket Alternative)
Add tags to a specific entry
Create annotation on Wallabag (Pocket Alternative)
Create an annotation on an entry
Create entry on Wallabag (Pocket Alternative)
Save a new URL to Wallabag
Delete entry on Wallabag (Pocket Alternative)
Delete an entry from Wallabag
Get entry on Wallabag (Pocket Alternative)
Get a single entry by ID
List annotations on Wallabag (Pocket Alternative)
Get annotations for an entry
List entries on Wallabag (Pocket Alternative)
Get all entries (articles) from Wallabag
List tags on Wallabag (Pocket Alternative)
Get all tags from Wallabag
Mark entry favorite on Wallabag (Pocket Alternative)
Mark an entry as favorite (starred)
Mark entry read on Wallabag (Pocket Alternative)
Mark an entry as read (archive)
Remove tag from entry on Wallabag (Pocket Alternative)
Remove a tag from an entry
What the Wallabag (Pocket Alternative) MCP Server unlocks
Connect your Wallabag instance to any AI agent and transform your read-it-later list into an interactive knowledge base. Wallabag is the leading open-source alternative to Pocket and Instapaper, allowing you to host your own articles.
What you can do
- Article Management — List all saved entries, fetch full content for specific articles, and save new URLs instantly.
- Organization — Mark articles as read (archive) or favorite (star), and manage tags to keep your library structured.
- Annotations & Highlights — Retrieve existing annotations or create new highlights and notes directly on your saved articles.
- Tagging System — List all your existing tags and apply them to entries to categorize your research.
- Clean Reading — Access the extracted text of articles without ads or distractions, perfect for AI analysis.
How it works
1. Subscribe to this server
2. Enter your Wallabag instance URL and API credentials (Client ID, Secret, Username, and Password)
3. Start managing your reading list from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Researchers — save sources and annotate them using AI to summarize key findings.
- Knowledge Workers — organize a massive backlog of articles and find exactly what you need via natural language.
- Privacy Enthusiasts — keep your reading data on your own server while still benefiting from AI-powered insights.
Frequently asked questions about the Wallabag (Pocket Alternative) MCP Server
Can I save a new article just by providing a URL?
Yes! Use the create_entry tool with the URL you want to save. Your agent will add it to your Wallabag account immediately.
How do I archive an article once I've finished reading it?
Simply ask the agent to mark the article as read using the mark_entry_read tool with the specific Entry ID.
Can I see the highlights and notes I've made on an article?
Yes. The list_annotations tool retrieves all highlights and notes associated with a specific Entry ID, allowing the AI to reference your personal insights.
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We built the connector to Wallabag (Pocket Alternative). 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.
Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.
Every tool call, every token, every response. Logged and auditable. Data flows direct from Wallabag (Pocket Alternative) to your agent. Nothing is stored on our side. Ever.
Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.
