# mcp-rss

> mcp-rss — christianecg-mcp-rss. Use this tool when you need to access and parse RSS and Atom feeds for data extraction, news aggregation, or content monitoring, providing AI agents with structured input for further analysis. It exposes feeds as tools, allowing for seamless integration with AI workflows. Ideal for use cases requiring real-time information gathering, news tracking, or data ingestion from online sources.

Canonical page: https://skillsregistry.net/skills/christianecg-mcp-rss  
JSON: https://api.skillsregistry.net/v1/skills/christianecg-mcp-rss

## Description

MCP server that exposes RSS and Atom feeds as tools for AI agents

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ChristianECG/mcp-rss)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "christianecg-mcp-rss"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/christianecg-mcp-rss` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/christianecg-mcp-rss/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt