# Medium Accelerator

> Use this tool when you need to streamline Medium article research by automating link extraction, content scraping, and summary storage. It solves problems of manual research and organization, providing a workflow for discovering, processing, and cataloging articles with tools for extraction, summarization, and database management. The Medium Accelerator takes in Medium archive pages and article URLs, outputting stored summaries with metadata, making it ideal for content researchers, writers, and analysts.

Canonical page: https://skillsregistry.net/skills/medium-accelerator  
JSON: https://api.skillsregistry.net/v1/skills/medium-accelerator

## Description

This MCP server accelerates Medium article research by providing tools to extract article links from Medium archive pages, scrape full article content for summarization, and persistently store summaries with metadata using TinyDB. Built by Daniele Carta, it streamlines the workflow of discovering, processing, and organizing Medium articles by automating the extraction process and maintaining a local database of summaries with titles, URLs, tags, and timestamps. The implementation is particularly useful for content researchers, writers, and analysts who need to efficiently process and catalog multiple Medium articles for reference or analysis.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

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

## 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": "medium-accelerator"
    }
  }
}
```

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