# Feedly MCP > Feedly connects your entire news aggregation workflow to any AI agent. It lets you manage every detail of your curated content, from listing all personal collections and tags to pulling the latest articles from specific streams or boards directly through natural conversation. ## Overview - **Category:** content-management - **Price:** Free - **Tags:** rss-aggregation, news-monitoring, content-curation, knowledge-management, stream-processing ## Description Managing a high volume of information across multiple sources used to mean switching tabs constantly and manually bookmarking everything. Now, connect Feedly via this MCP and take full control of your news flow with simple chat commands. You can list all your curated collections and feeds, then pull the latest articles from specific streams or entire categories. Need to save an article for later? Mark it as read or stash it on a board without touching the web UI. If you're using Vinkius, you get access to this tool alongside thousands of others, letting your agent handle everything from content discovery—searching across the whole Feedly index for new topics—to accessing your profile metadata. It’s all about keeping your focus on work, not on where the source material is stored. ## Tools ### get_board_contents Pulls all the stored articles from one of your specific Feedly boards. ### get_entry Retrieves full details for a single, specific article entry by its ID. ### get_profile Fetches your current Feedly user profile information and settings. ### get_stream_contents Retrieves the latest articles from a designated feed, category, or global stream. ### get_subscriptions Lists all the individual feeds you are currently subscribed to in Feedly. ### get_tag_contents Pulls articles that have been assigned a specific tag, allowing focused retrieval. ### list_boards Generates an inventory of all the personal boards you've set up for saving articles later. ### list_collections Lists every category and curated collection within your Feedly account. ### list_tags Provides a list of all the unique tags you have used across your content. ### mark_as_read Updates the status of specific articles, marking them as read in Feedly. ### search_feeds Searches the entire Feedly index to locate brand new RSS feeds relevant to your interests. ### search_topics Searches for general, trending subjects or specific keywords across the platform's content base. ## Prompt Examples **Prompt:** ``` List my Feedly collections. ``` **Response:** ``` I've retrieved your collections. You have 'Tech News', 'Design Inspiration', and 'Marketing' categories. Which collection's latest articles would you like to see? ``` **Prompt:** ``` Show me the latest 5 articles from the 'Tech News' category. ``` **Response:** ``` Fetching stream contents... Here are the latest updates including 'AI Breakthroughs in 2024' and 'New Smartphone Launch'. Would you like me to summarize any of these for you? ``` **Prompt:** ``` Search for feeds about 'Edge Computing'. ``` **Response:** ``` Searching the Feedly index... I found several relevant feeds including 'The Edge Blog' and 'Computing Weekly'. Would you like the stream IDs to add them to your collections? ``` ## Capabilities ### Discovering new sources Search the entire Feedly index to find relevant RSS feeds or trending topics you didn't know existed. ### Curating content lists List all existing collections, boards, and tags to see how your information is currently organized. ### Retrieving article batches Fetch the latest articles from an entire feed stream, a specific board, or content filtered by a tag. ### Managing read status Mark articles as read directly through your agent, keeping track of what you've already processed. ### Accessing user data Retrieve your current Feedly profile and subscription metadata for context during research sessions. ## Use Cases ### The Quarterly Industry Review A researcher needs to pull the top 10 articles on 'sustainable energy' from three different sources. Instead of logging into Feedly and clicking through, they ask their agent to use `get_stream_contents` for each source, giving them a clean, consolidated list ready for summarization. ### Capturing Project Inspiration A content strategist finds several design examples from niche blogs. They tell their agent to search using `search_feeds` to find those sources, then use the board functions like `get_board_contents` to collect all relevant articles onto a 'Q3 Design' board. ### Tracking Competitor Moves A marketing manager wants to know which competitors are posting about 'AI ethics'. They ask their agent to use `get_tag_contents` with the tag 'AI ethics,' immediately pulling all relevant content from multiple streams. ### Pre-Meeting Prep Work Before a meeting, you need context on your own subscription status. You ask your agent to run `get_subscriptions` and then follow up with `list_collections` to confirm exactly what sources were reviewed. ## Benefits - You can quickly pull the latest industry news and trending topics by using `get_stream_contents` to check specific feeds or categories. - Organize massive amounts of data easily. Use `list_collections` and `list_boards` to see your entire structure before pulling articles with `get_board_contents`. - Never lose track of a good source again. You can use the agent to find new sources using `search_feeds`, or narrow down content by running `get_tag_contents`. - Keep your reading list clean and accurate. The `mark_as_read` tool lets you update article status without opening any browser tabs. - Streamline research context. You can check your full profile details using `get_profile`, which provides valuable metadata for your reports. ## How It Works The bottom line is that your AI agent handles all the API calls and data formatting so you just get a clean list of information in your chat window. 1. Subscribe to this MCP and enter your specific Feedly Developer Access Token. 2. Connect the credential to your AI client, like Cursor or Claude. 3. Ask your agent directly what you need—for example, 'Show me all my tech collections' or 'Find articles tagged with quantum computing'. ## Frequently Asked Questions **How does the Feedly MCP help me discover new topics?** You can use `search_feeds` to search the entire Feedly index for new RSS feeds. This tool helps you find relevant sources without knowing their exact URL or category. **Can I organize articles using the Feedly MCP?** Yes, you can list all your tags with `list_tags` and then use `get_tag_contents` to pull every article associated with that tag across multiple feeds. **What is the difference between `list_collections` and `list_boards`?** Collections are your primary categories or overarching source groups. Boards are specific, curated lists of articles you save for later viewing or reference. **How do I update my status using the Feedly MCP?** You simply ask your agent to mark articles as read. It executes the `mark_as_read` tool, updating the article status across your account instantly. **Do I need an API key for the Feedly MCP?** Yes. You must subscribe and enter a valid Feedly Developer Access Token so your agent can authenticate and perform actions on your behalf.