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kwp-lab-rss-reader-mcp

kwp-lab-rss-reader-mcp

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github.com/kwp-labBrowser Automation5Updated 59w ago
Repository

About kwp-lab-rss-reader-mcp

kwp-lab-rss-reader-mcp is an MCP server for browsing RSS feeds and extracting article text as Markdown. It suits people who want feed entries and readable article content in an MCP-capable client.

Key features

  1. 01Fetches entries from an RSS feed URL
  2. 02Returns feed metadata and entry summaries
  3. 03Extracts article content as Markdown
  4. 04Supports stdio and HTTP streaming

Use cases

  1. 01Get recent headlines from a chosen feed
  2. 02Read an article in Markdown form
  3. 03Run the server locally or in Docker

MCP support

Exposes tools for fetching RSS entries and extracting article content to MCP clients. It supports stdio and HTTP streaming transports.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://server.smithery.ai/@kwp-lab/rss-reader-mcp/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://server.smithery.ai/@kwp-lab/rss-reader-mcp/mcpAuth required

Tools

Details

From the project README

RSS Reader MCP

An MCP (Model Context Protocol) server for RSS feed aggregation and article content extraction. You can use it to subscribe to RSS feeds and get article lists, or extract the full content of an article from a URL and format it as Markdown.

English | 中文

npm version license build status smithery badge

🚀 Quick Start

You can use this MCP server in MCP-capable clients such as Claude Desktop and CherryStudio.

Claude Desktop

For Claude Desktop, add the following configuration under the "mcpServers" section in your claude_desktop_config.json file:

{
  "mcpServers": {
    "rss-reader": {
      "command": "npx",
      "args": [
        "-y",
        "rss-reader-mcp"
      ]
    }
  }
}
Usage Examples

🔧 Tools Reference

fetch_feed_entries

Fetch RSS entries from a specified URL

Parameters:

  • url (required string): RSS feed URL
  • limit (optional number): Maximum number of entries to return (default 10, max 100)

Returns: A JSON object containing feed metadata and a list of entries (including title, link, publication date, and summary)

fetch_article_content

Extract article content from a URL and format it as Markdown

Parameters:

  • url (required string): Article URL

Returns: A JSON object containing the title, Markdown content, source URL, and timestamp

⚙️ Transport & Environment Variables

This server supports two transport modes:

  • stdio (default): Communicates via standard input/output. Suitable for clients that run a local process, such as Claude Desktop.
  • httpStream: Communicates over HTTP streaming. Suitable for clients that support HTTP(S) transport or for containerized deployments.

Available environment variables:

  • TRANSPORT: Select the transport mode, either stdio (default) or httpStream.
  • PORT: When TRANSPORT=httpStream, the listening port (default 8081).
  • MCP_SERVER_HOST: When TRANSPORT=httpStream, the listening address (default localhost). In Docker, set this to 0.0.0.0 to expose the port externally.

How to switch transport modes:

  • Using stdio (no extra setup, default):
    • Works with Claude Desktop via the command + args configuration (see example above).
  • Using httpStream:
    • Set the environment variable TRANSPORT=httpStream and specify PORT (defaults to 8081 if not set).
    • When running in a container, also set MCP_SERVER_HOST=0.0.0.0 and map the port.
    • The Dockerfile in this repository already includes related environment variable settings.

Docker Deployment

You can also run this MCP server in a Docker container. First, build the image in the project root:

docker build -t rss-reader-mcp .

Using CherryStudio as an example, the following configuration shows how to run this server over HTTP:

{
  "mcpServers": {
    "rss-reader-mcp": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-p",
        "8081:8081",
        "-e",
        "PORT=8081",
        "rss-reader-mcp"
      ]
    }
  }
}

Some RSS Feeds for Testing

  • BBC News: https://feeds.bbci.co.uk/news/rss.xml
  • TechCrunch: https://techcrunch.com/feed/
  • Hacker News: https://hnrss.org/frontpage
  • MIT Technology Review: https://www.technologyreview.com/feed/

Comments

Markdown supported

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.