--- layout: tap site_name: devto tap_name: publish description: "Publish an article on Dev.to" intent: write columns: - status - url args: - name: title type: string - name: content type: string description: "Markdown content" - name: tags type: string description: "Comma-separated tags, up to 4 (optional)" args_json: | {"title":{"type":"string"},"content":{"type":"string","description":"Markdown content"},"tags":{"type":"string","description":"Comma-separated tags, up to 4 (optional)"}} health_json: | {"min_rows":1,"non_empty":[]} example_args: "" source_url: https://github.com/LeonTing1010/tap-skills/blob/main/showcase/devto/publish.plan.json license: MIT ---

What it does

Publish an article on Dev.to

Install Taprun once

Taprun ships as a single MCP server exposing a catalog of compiled taps. One-time setup on macOS / Linux:

brew install LeonTing1010/tap/taprun
tap mcp connect

Or drop this into your claude_desktop_config.json (works identically in Claude Code, Cursor, Cline, Windsurf — any MCP host):

{
  "mcpServers": {
    "tap": {
      "command": "tap",
      "args": ["mcp", "start"]
    }
  }
}

Call devto/publish

Terminal, once installed:

tap run devto/publish

From the MCP host — exact same compiled plan, deterministic replay, zero LLM tokens:

tap.run({ site: "devto", name: "publish" })

Why compile it once

This plan was forged once — the AI read devto, picked stable structural addresses (JSON-LD, ARIA, RSS, or declared API endpoints, in that priority order), and saved them to a .plan.json. Every replay since then has used zero LLM tokens. When devto ships a site change that breaks the extraction, tap verify surfaces it before your data goes stale — not after your pipeline silently writes garbage for a week.

Related devto taps

tapdescription
devto/postPublish an article on Dev.to
devto/topDev.to top articles