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How to Use the Feedly MCP in Cursor

Generate code using live industry data and Feedly RSS feeds inside Cursor.

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Feedly MCP on Cursor AI Code Editor MCP Client Feedly MCP on Claude Desktop App MCP Integration Feedly MCP on OpenAI Agents SDK MCP Compatible Feedly MCP on Visual Studio Code MCP Extension Client Feedly MCP on GitHub Copilot AI Agent MCP Integration Feedly MCP on Google Gemini AI MCP Integration Feedly MCP on Lovable AI Development MCP Client Feedly MCP on Mistral AI Agents MCP Compatible Feedly MCP on Amazon AWS Bedrock MCP Support
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Cursor

Connect Feedly MCP to Cursor

Create your Vinkius account to connect Feedly to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Feed real-time tech updates directly to Cursor Agent

The Feedly MCP Server feeds real-time technology updates directly to your Cursor Agent. Ask the editor to analyze the latest updates from your favorite dev blogs using `get_stream_contents` and write code that reflects the latest standards. By calling `get_article_details`, Cursor reads the full markdown of technical posts. This means your agent can write working implementations based on a release note published only ten minutes ago.

Manage your Feedly subscriptions inside your code editor

This Feedly MCP Server lets you manage your RSS subscriptions inside your Cursor code editor. Use `list_subscriptions` to check your active feeds, mapping them directly to your current project scope. When starting a new project, use `subscribe_to_feed` to add relevant technical docs or RSS feeds to your tracking list. If a library becomes deprecated, run `unsubscribe_from_feed` to stop wasting API calls on dead codebases.

Organize research boards without leaving your workspace

This Feedly MCP Server structures your research boards without leaving your active workspace. Your Cursor agent can call `list_categories` and `list_tags` to organize incoming engineering articles. Once Cursor parses the required files, call `mark_articles_as_read` to clear your queue. This ensures your active feed only contains fresh, unread technical documentation.

Setup guide

Set up Feedly MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the Feedly MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent Feedly transactions." If the MCP tools are loaded correctly, Cursor will call the Feedly tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "feedly-alternative-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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Common questions about Feedly MCP in Cursor

Add the server configuration to your `.cursor/mcp.json` file with your API token. Enable Agent mode in the chat panel, and the editor will immediately recognize the new capabilities.
Yes, you can ask Cursor to use `subscribe_to_feed` whenever you find a new RSS link in your code comments. The editor will add it directly to your account.
The editor uses `get_stream_contents` to pull manageable chunks of feed data. You can ask Cursor to filter by tags using `list_tags` to keep the context window clean.
Yes, running `get_feed_metadata` allows you to inspect specific feed endpoints. This helps verify that your sources are active and returning valid RSS payloads.
The MCP setup stores your API token directly in your local Cursor configuration files. The server only reads RSS article text and user profile metadata, passing this information through secure local processes without routing it through external analytics servers.

Start using the Feedly MCP today

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