Python web scraping toolkit and MCP server that gives AI agents clean, structured web data from any URL or built-in s...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health 57/100. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Universal
Model
Multiple
Fastest way to find out if PyScrappy belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add pyscrappy -- npx pyscrappyRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove pyscrappyNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ pyscrappy ← registers here
Python web scraping toolkit and MCP server that gives AI agents clean, structured web data from any URL or built-in scrapers.
Source: GitHub repository
Source check: July 31, 2026
Upstream commit: July 31, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.