Feedly MCP. Manage all your news and streams from chat.
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Feedly. Manage all your news aggregation and content streams through your AI agent. List collections, retrieve the latest articles from specific feeds, search for new sources, and manage read status—all via natural conversation.
You control your entire knowledge intake without leaving your chat window.
What your AI agents can do
Get board contents
Retrieves articles from a specific Feedly board.
Get entry
Gets detailed information for a single Feedly article entry.
Get profile
Retrieves the current Feedly user profile data.
The agent retrieves a list of all your saved Feedly collections and feeds.
The agent pulls the latest articles and full metadata from a defined feed, category, or global stream.
The agent updates the status of specific articles in your feed, marking them as read.
The agent searches the Feedly index to find relevant RSS feeds or trending topics.
The agent fetches articles from a specific personal board or retrieves all articles associated with a defined tag.
Ask AI about this MCP
Supported MCP Clients
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Feedly MCP Server: 12 Tools for Content Management
These 12 tools let your AI agent manage your entire Feedly account: listing collections, retrieving specific entries, managing tags, and finding new sources.
019d7597get board contents
Retrieves articles from a specific Feedly board.
019d7597get entry
Gets detailed information for a single Feedly article entry.
019d7597get profile
Retrieves the current Feedly user profile data.
019d7597get stream contents
Retrieves the latest articles from a specific feed, category, or global stream.
019d7597get subscriptions
Lists all individual feed subscriptions you have set up.
019d7597get tag contents
Retrieves articles associated with a specific tag.
019d7597list boards
Lists all the personal boards you use to save content.
019d7597list collections
Lists all your curated content categories and feeds.
019d7597list tags
Lists all the custom tags you have applied to content.
019d7597mark as read
Marks specific Feedly articles as read from the agent.
019d7597search feeds
Searches the entire Feedly index for new RSS feeds.
019d7597search topics
Searches for trending topics or specific interests within Feedly.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
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Make Your AI Do More
Start with Feedly, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
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- Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector
Manage your whole news intake with your AI agent. You can list all your saved Feedly collections and feeds. You'll also get the latest articles from any specific feed, category, or global stream. Want to mark articles as read? Your agent handles that, updating the status directly. Need new stuff? Search the Feedly index for new RSS feeds or trending topics.
You can fetch articles from a specific personal board or retrieve everything tied to a custom tag. You'll also get detailed information for any single Feedly article entry. You can list all your personal boards and all your custom tags. You'll also get a list of your individual feed subscriptions.
If you want to check your own profile data, you can do that too. You can use your agent to check what content's on a specific board, or what articles are tied to a specific tag.
How Feedly MCP Works
- 1 Subscribe to the Feedly MCP Server and provide your developer access token.
- 2 Your AI client invokes a tool, like
list_collectionsorget_stream_contents, through the MCP protocol. - 3 The server executes the request, fetches the data, and returns the structured content directly to your AI agent for use.
The bottom line is: you use natural language with your AI client to execute complex Feedly actions, and the server handles the API calls and data retrieval.
Who Is Feedly MCP For?
The content researcher who needs to track industry shifts across 20 sources without opening 20 browser tabs. The product manager who needs to save competitive analysis articles to a central board. Or the knowledge worker who needs a quick, reliable way to monitor multiple feeds while staying in their main chat application.
Pulls the latest industry news from dozens of curated feeds and organizes the metadata into a report.
Monitors multiple niche sources and saves key articles to specific Feedly boards directly from their chat client.
Keeps a pulse on competitive product launches by aggregating and tracking specific industry streams.
What Changes When You Connect
- Get the latest articles from a stream using
get_stream_contents. You don't have to open the website to see updates from your key industry feeds. - Stay organized by listing your content structure with
list_collectionsandlist_boards. You see exactly where all your saved research is housed. - Keep track of articles you read with
mark_as_read. This action happens in the cloud, updating your Feedly status without you touching the UI. - Find new sources with
search_feeds. You can ask your agent to search the entire Feedly index for feeds on topics you haven't considered yet. - Analyze content by applying filters using
get_tag_contentsorget_board_contents. This lets you pull only the articles relevant to a specific project tag. - Quickly check your status with
get_profile. This retrieves your user profile data, giving your agent the context it needs for follow-up actions.
Real-World Use Cases
Need a quick digest of industry news.
A research analyst needs to know what's happened in the 'AI' sector today. They ask their agent to run get_stream_contents on the 'AI' feed. The agent pulls the 10 latest articles, which the analyst can then read and summarize without leaving their chat client.
Curating content for a client report.
A content creator is building a report. They first use list_collections to see all their categories. Then, they ask the agent to run get_tag_contents for 'Client X'. The agent pulls all related articles, which the creator can then review and export.
Tracking competitive launches.
A product manager needs to monitor specific competitor blogs. They use search_feeds to find new blogs and then use get_board_contents to aggregate the most relevant posts into a single review board.
Understanding content relationships.
A knowledge worker wants to see what topics are related to a specific article. They run get_entry on the article, and the agent can then use get_tag_contents to pull all other articles with the same tags, building a quick web of related ideas.
The Tradeoffs
Checking content manually.
The user opens Feedly, navigates to 'Tech News', scrolls through 50 articles, and manually copies links for a report.
→
Instead, ask your agent to run get_stream_contents for the 'Tech News' feed. The agent pulls the latest 10 articles and provides the metadata immediately, letting you focus on the content, not the clicks.
Forgetting content organization.
The user saves an article to Feedly but later forgets which board it went on, making it hard to find later.
→
Use list_boards to see every board you maintain. Then, use get_board_contents with the specific board name to pull only the relevant articles, guaranteeing you find what you saved.
Searching without context.
The user tries to search for a topic like 'Edge Computing' but doesn't know if it's a feed or a tag.
→
First, ask the agent to run search_topics. This finds general trends. Then, if you want a continuous stream of that topic, run search_feeds to locate a dedicated RSS feed.
When It Fits, When It Doesn't
Use this if you need to manage, retrieve, or categorize information from multiple RSS sources within a structured workflow. You need to monitor content streams and save articles based on defined criteria (boards, tags).
Don't use this if you just need to read a single article on a website. Use a browser extension or read-it-later service for that. If your goal is simply to track connections between different services (e.g., syncing Feedly data to a CRM), you might need a different type of integration that focuses on data export, not just retrieval. This server is for reading and organizing content, not for transactional data movement.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Feedly. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Wrestling with dozens of open tabs and bookmarks.
Today, monitoring your industry means opening a dozen browser tabs. You click into the tech blog, scroll until you hit a good article, copy the link, and paste it into your 'Read Later' folder. You repeat this process for five different sources, ending up with a messy folder full of half-read links.
With the Feedly MCP Server, you tell your agent to fetch the latest from your key sources. The agent executes `get_stream_contents` across multiple feeds and presents the full article metadata right in your chat. You get the content, not just the link.
Feedly MCP Server: Get Stream Content
Before, you had to navigate to the Feedly website, click the specific board, and then manually click on the articles you wanted to review. This process takes several clicks and context switching.
Now, you ask your agent to run `get_stream_contents` for the desired feed. The agent returns the content array instantly, giving you structured, usable data without ever leaving your chat interface.
Common Questions About Feedly MCP
How do I use the `list_collections` tool with Feedly MCP Server? +
You simply ask your agent to list your collections. The agent runs list_collections and returns a list of all your curated categories. You can then specify which collection you want to pull content from.
Does `get_tag_contents` fetch all articles, or just recent ones? +
The tool retrieves all articles associated with a specific tag. It fetches the full content set, not just the most recent items. You can then filter the results in your AI client.
What is the difference between `list_boards` and `list_collections`? +
list_collections shows your high-level content categories (like 'Tech' or 'Design'). list_boards shows the specific boards you create to group articles within those categories.
Can I mark articles as read using `mark_as_read`? +
Yes, you can. You ask your agent to run mark_as_read and specify the article IDs. The server updates your Feedly status directly, making it appear as if you clicked the button manually.
How do I find new sources with `search_feeds`? +
You ask your agent to run search_feeds and provide the topic. The server searches the entire Feedly index and returns a list of relevant, potential RSS feeds for you to review.
How do I use `get_stream_contents` to pull articles from a global feed? +
You pass the global stream ID to get_stream_contents. This tool retrieves the latest articles from any feed or entire category, not just a specific one. It's great for getting a broad overview of trending topics.
Does `get_entry` require the article ID, or can I use the article title? +
You must provide the specific article entry ID to get_entry. This tool fetches all metadata for one article, so the ID is necessary to pinpoint the exact content you need.
What is the difference between `get_tag_contents` and `get_board_contents`? +
These tools pull content from different organizational structures. get_tag_contents gets articles based on assigned keywords, while get_board_contents retrieves articles saved to a specific user board.
How do I obtain a Feedly Developer Token? +
Log in to your Feedly account and navigate to the Settings > Developer page to generate a personal access token for prototyping and individual use.
Can I mark articles as read using this agent? +
Yes! Use the mark_as_read tool with the entry IDs of the articles you wish to clear from your unread stream.
Is it possible to search for new feeds through the agent? +
Absolutely. The search_feeds tool allows you to search the Feedly global index for specific topics or site URLs to add to your collections.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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