# Inoreader

> Use this tool when you need to integrate your RSS reading workflow with AI assistants for automated feed management, content curation, and analysis. It provides programmatic access to Inoreader RSS feeds through a Python-based server, handling authentication, caching, and offering tools for listing subscriptions, searching content, and performing sentiment detection. Ideal for tasks like article summarization, trend analysis, and automated feed organization without manual platform interaction.

Canonical page: https://skillsregistry.net/skills/dindicoelho-inoreader  
JSON: https://api.skillsregistry.net/v1/skills/dindicoelho-inoreader

## Description

Provides programmatic access to Inoreader RSS feed reader through a Python-based MCP server implementation. Built with aiohttp and asyncio, it offers 8 core tools for managing RSS feeds including listing subscriptions, retrieving articles with filtering options, searching content, marking items as read, and performing basic content analysis like sentiment detection and keyword extraction. The implementation handles Inoreader's Google Reader-compatible API authentication, includes caching for performance, and provides multiple server variants (minimal, simple, and Claude-compatible) to accommodate different MCP client requirements. Designed for users who want to integrate their RSS reading workflow with AI assistants for tasks like content curation, article summarization, trend analysis, and automated feed management without manual platform interaction.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dindicoelho-inoreader)
- **Repository:** <https://github.com/dindicoelho/inoreader-mcp>

## 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": "dindicoelho-inoreader"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dindicoelho-inoreader` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dindicoelho-inoreader/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