Medium Accelerator
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/crtdaniele/mcp-medium-accelerator
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Medium Accelerator from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.