RSS MCP Server
Enables RSS feed management using the Fever API, supporting retrieval of feeds, groups, and items with read/save actions.
README
RSS MCP Server
A FastMCP server implementation for RSS feed management using the Fever API.
Installation
- Clone the repository
- Install dependencies:
pip install -r requirements.txt
Configuration
- Copy
.env.exampleto.env:
cp .env.example .env
- Edit
.envand set your configuration values:
FEVER_API_URL: URL of your Fever API endpointFEVER_USERNAME: Your Fever API usernameFEVER_PASSWORD: Your Fever API passwordMCP_SERVER_NAME: Name for your MCP server instance
- Configure Cursor Integration:
Create or edit your Cursor MCP configuration file at ~/.cursor/mcp.json:
{
"mcpServers": {
"RssMcpServer": {
"url": "http://127.0.0.1:8000/sse"
}
}
}
This configuration will allow Cursor to connect to your RSS MCP server running locally on port 8000.
Running the Server
Start the server using:
python main.py
API Tools
The server provides the following MCP tools:
Feed Management
get_feeds(): Retrieve all RSS feedsget_groups(): Retrieve all feed groups
Item Operations
get_unread_items(max_items=10, max_id=9999999999, since_id="", feed_ids=None, group_ids=None): Get unread itemsget_saved_items(max_items=10, max_id=9999999999): Get saved/favorited itemsget_items(since_id=""): Get items since a specific IDget_items_by_feed_ids(feed_ids, max_items=10): Get items from specific feedsget_items_by_group_ids(group_ids, max_items=10): Get items from specific groupsmark_item(item_id, action): Mark items as read/saved/unsaved
Dependencies
- starlette>=0.27.0
- requests>=2.31.0
- python-dotenv>=1.0.0
- fastmcp>=0.1.0
- uvicorn>=0.24.0
License
MIT License
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.