# Reed MCP Server

> Reed MCP Server — simonives-reed. Use this tool when you need to traverse and query complex RSS reading graphs, enabling AI clients to discover relationships between feeds, articles, authors, topics, and tags. It solves problems of graph traversal and item discovery, providing a standardized interface over stdio or HTTP. Ideal for use cases requiring exploration of interconnected data, such as knowledge graph construction or content recommendation systems.

Canonical page: https://skillsregistry.net/skills/simonives-reed  
JSON: https://api.skillsregistry.net/v1/skills/simonives-reed

## Description

Enables AI clients to traverse and query the full RSS reading graph—feeds, articles, authors, topics, and tags—over stdio or HTTP, supporting graph traversal and item discovery across relationships.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v7ifsjyazh)
- **Repository:** <https://github.com/simonives/reed>

## 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": "simonives-reed"
    }
  }
}
```

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