How to Use the Feedly MCP in VS Code Copilot

Q: How do we share the Feedly setup across our VS Code Copilot team using this MCP Server?

Save the server details in .vscode/mcp.json and commit it to your repository. Every team member with the Copilot extension will instantly get access to the tools.

Q: Can VS Code Copilot search for trending Feedly topics?

Yes. The agent uses searchtopics to scan the web for trending tech news, allowing you to pull relevant articles directly into your development environment.

Q: Can Copilot fetch my personalized tags?

Yes, it can. Copilot calls listtags to retrieve your custom taxonomy and gettagcontents to fetch articles associated with those specific tags.

Share a unified Feedly MCP configuration with your team in VS Code Copilot to keep everyone aligned on industry news.

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Connect Feedly MCP to VS Code Copilot

Create your Vinkius account to connect Feedly to VS Code Copilot 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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Setup Feedly with VS Code Copilot

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Team-Wide Feed Access in VS Code Copilot

Commit your `.vscode/mcp.json` config to Git so your entire team can access the same industry sources. This MCP Server allows Copilot to pull curated articles using `get_stream_contents` for shared project context. Developers can query team collections using `list_collections`. This ensures everyone stays updated on critical security patches or industry shifts without manual email chains.

Track Security Alerts and Board Saved Items

Keep an eye on critical zero-days. Your agent can run `get_board_contents` to monitor boards where your security team saves urgent vulnerability reports. Use `get_entry` to pull detailed article payloads when a new threat is flagged. Having this data inside Copilot helps you write patches faster.

Refine Your Reading Queue Automatically

Clean up your shared feeds without manual effort. The agent runs `mark_as_read` to clear out reviewed articles, keeping your team workspace clutter-free. If you need to find fresh sources of information, the agent invokes `search_feeds` to discover new RSS feeds that match your current project scope.

Setup guide

Set up Feedly MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Feedly MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Feedly tools listed. Try asking: "List my recent Feedly transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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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 VS Code Copilot

Save the server details in `.vscode/mcp.json` and commit it to your repository. Every team member with the Copilot extension will instantly get access to the tools.

Yes. The agent uses `search_topics` to scan the web for trending tech news, allowing you to pull relevant articles directly into your development environment.

The server processes requests individually. To prevent hitting limits, avoid running massive bulk tasks that trigger sequential calls to `get_entry` or `mark_as_read`.

Yes, it can. Copilot calls `list_tags` to retrieve your custom taxonomy and `get_tag_contents` to fetch articles associated with those specific tags.

Absolutely. The integration uses standard HTTPS to talk to the Feedly API, and your developer tokens are managed locally or via secure environment variables, protecting your article lists and user profile from external exposure.

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