# FeedKit

> Use this tool when you need to collect and manage RSS and Atom feeds from a large, curated list of 417 sources. FeedKit solves problems related to feed discovery, aggregation, and monitoring by providing a Python-based MCP server for streamlined feed collection. It takes in feed URLs and outputs aggregated feed data, ideal for use cases involving news tracking, content monitoring, or data mining.

Canonical page: https://skillsregistry.net/skills/io-github-arknill-feedkit  
JSON: https://api.skillsregistry.net/v1/skills/io-github-arknill-feedkit

## Description

RSS/Atom feed collection with 417 curated feeds. Python MCP server.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.ArkNill%2Ffeedkit)
- **Repository:** <https://github.com/QuartzUnit/feedkit>

## 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": "io-github-arknill-feedkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-arknill-feedkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-arknill-feedkit/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