# Wallabag MCP for AI Agents AI Agent Connect > Wallabag (Pocket Alternative) lets you connect your self-hosted read-it-later library to your AI agent. You can save URLs, manage tags, and pull full article text directly into your workspace for analysis without the ads or distractions. It turns your static bookmarks into a dynamic, searchable knowledge base. ## Overview - **Category:** productivity - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_9JEcpr65iZOjgRNwUu24ihXNxbnlXHylMUKADJPX/ai-agent-connect - **Tags:** read-it-later, bookmarking, article-archiving, self-hosted, wallabag ## Description Imagine you have a massive backlog of articles, research papers, and links you've saved over months. Usually, finding that one specific piece of info means digging through a cluttered browser bookmark folder or a third-party app that's constantly trying to sell you a subscription. This Connector changes that by making your Wallabag instance an active part of your knowledge base. Instead of just being a graveyard for links, your reading list becomes a searchable database your AI agent can actually interact with. You can ask your agent to find every article you've tagged with "market research" from last year, summarize the key points of a specific saved piece, or even grab the text of a long-form essay so you can have a conversation about it right now. It's a way to turn static bookmarks into dynamic data. Because Vinkius makes it so easy to connect these types of specialized tools, you can keep your data on your own hardware while still getting the power of an agent to sift through it for you. It's about moving from saving for later to using right now. ## Tools ### create_entry Saves a new URL to your Wallabag instance. Use this to quickly build your library from your browser. ### delete_entry Removes a specific entry from your list. This helps you keep your library clean and relevant. ### get_entry Fetches the details of a single article by its ID. It's the primary way to pull content for analysis. ### list_annotations Shows the notes and highlights you've made on an article. Use this to recall specific personal insights. ### list_entries Lists every saved article in your library. This allows your agent to see your entire collection of content. ### list_tags Shows all the categories you've created for your content. It helps you understand how your library is organized. ### mark_entry_favorite Adds a star to an entry so you can find it easily later. Use this for your most important research pieces. ### mark_entry_read Archives an article to clear it from your active list. This helps you manage a high volume of saved links. ### remove_tag_from_entry Drops a specific tag from a saved article. Use this to refine your organization as your research evolves. ### add_tags_to_entry Attaches new categories to a saved article. This is perfect for batch-categorizing links with your agent. ### create_annotation Saves a new highlight or note to a specific entry. Use this to record thoughts while your agent summarizes content. ## Prompt Examples **Prompt:** ``` Find all articles I've saved about renewable energy and summarize the main pros. ``` **Response:** ``` I've scanned your Wallabag library for articles tagged with 'renewable energy'. Here are the key takeaways from the 5 most recent entries: | Article Title | Key Pros | | :--- | :--- | | **Solar Efficiency 2024** | Increased cell durability, lower manufacturing costs. | | **Wind Power Trends** | Better offshore turbine placement, higher capacity factors. | | **Hydroelectric Advancements** | New low-impact dam designs. Would you like me to pull the full text for any of these to dive deeper? ``` **Prompt:** ``` I just saved a new link about solar panels. Can you add the 'energy' and 'tech' tags to it? ``` **Response:** ``` Done! I've added the **energy** and **tech** tags to your latest entry. Your library is now updated. ``` **Prompt:** ``` List my recent notes on the Wallabag articles I've archived this week. ``` **Response:** ``` Here are the annotations you've made on articles you archived this week: * **Article: 'The Future of Grid Storage'** * *Note:* Need to cross-reference this with the lithium-ion report. * **Article: 'Next-Gen Photovoltaics'** * *Note:* Great visual for the presentation slide 4. ``` ## Capabilities ### Save new URLs to your library Add new links to your Wallabag instance instantly through your AI client. ### Pull full article text Retrieve the clean, extracted text of saved articles for immediate analysis. ### Search and list all saved entries Browse your entire library of saved content using natural language commands. ### Organize content with tags Apply and manage multiple categories to keep your research library structured. ### Archive or favorite specific articles Mark entries as read or star them to keep your active list organized. ### Retrieve personal notes Access the specific annotations and highlights you've made on your saved pieces. ## Use Cases ### Summarizing a research backlog A student has 50 saved papers on climate change and asks the agent to find all entries with a specific tag and summarize the common findings. ### Competitor analysis A marketer saves 20 blog posts from competitors and asks the agent to list the main themes across all entries. ### Note-taking sync A writer saves a long article and uses the agent to add a specific highlight to it while they are still thinking about the topic. ### Quick fact-checking A journalist asks the agent to find a specific saved URL from last month and pull the text to verify a quote. ## Benefits - Get clean text without ads by using list_entries and get_entry to feed your agent only the relevant content. - Keep your data private on your own hardware while still using the power of an AI client to summarize your library. - Organize research faster by using add_tags_to_entry to categorize dozens of links in one go. - Quickly find specific insights using list_annotations to see exactly where you made notes on a saved piece. - Clear the clutter in your reading list by using mark_entry_read to archive finished articles automatically. ## How It Works The bottom line is you get a way to turn a private bookmark list into an interactive research tool. 1. Subscribe to the Connector and provide your Wallabag instance URL and API credentials. 2. Connect the Connector to your preferred client like Claude, Cursor, or Windsurf. 3. Ask your agent to find, read, or organize your saved articles using natural language. ## Frequently Asked Questions **Can Wallabag MCP help me summarize my saved articles?** Yes, it pulls the clean text from your saved links so your AI agent can read and summarize them for you instantly. **Does Wallabag MCP work with my self-hosted instance?** Yes, it connects directly to your private Wallabag setup using your own API keys, keeping your data on your hardware. **How do I use Wallabag MCP to organize my links?** You can ask your agent to apply tags to your entries or archive them as read, helping you manage a high volume of content. **Can I get the text of an article without ads using Wallabag MCP?** Yes, the Connector pulls the extracted text that Wallabag has already processed, skipping all the ads and distractions. **Is Wallabag MCP good for researchers?** It's built for researchers who need to query a large volume of saved sources quickly to find specific insights or trends. **How do I save a new link using Wallabag MCP?** Just give your agent the URL and ask it to save it to your Wallabag library; it will handle the rest automatically. **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.