LionScraper MCP + CLI + HTTP API (Python)
Run LionScraper from a Python stack—MCP stdio, CLI, or HTTP—so your agent can research the web through the browser extension.
Overview
LionScraper Python is a MCP server for the Idea phase that connects AI agents to the LionScraper extension via Python stdio, CLI, and HTTP.
What is this MCP server?
- Python package (PyPI lionscraper v1.0.6) exposing MCP stdio, CLI, and HTTP API
- Same LionScraper extension bridge as the Node edition for authenticated browser scraping
- Fits Python-first solo pipelines (notebooks, FastAPI sidecars) without switching to Node
- Stdio MCP for agent hosts; CLI and HTTP for scripted research jobs
- Browser-extension MCP bridge, not standalone headless Playwright
- Package version 1.0.6 on PyPI identifier lionscraper
- 3 documented interfaces: MCP stdio, CLI, HTTP API
- Repository subfolder packages/python; shared site lionscraper.com
What problem does it solve?
Python-first builders lack a native MCP path to extension-based scraping, forcing awkward Node sidecars or manual browser work during research.
Who is it for?
Indie developers and data-minded solos on Python who need agent-driven web research through the LionScraper extension.
Skip if: Projects that refuse browser extensions, require only cloud headless browsers, or are Node-only shops that should use the npm package instead.
What do I get? / Deliverables
With the PyPI package and extension linked, your agent can orchestrate LionScraper research flows entirely from a Python MCP stdio server.
- Python MCP server wired to LionScraper extension sessions
- Research datasets or extracts from agent-driven scrape plans
- Optional CLI/HTTP automation without a separate Node service
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Journey fit
Canonical shelf is Idea for the same research-first workflow as the Node variant, with Python as the runtime preference. Research subphase covers extension-mediated data gathering during opportunity and competitor discovery.
How it compares
Python twin of LionScraper Node—pick by runtime, same extension-backed scraping model.
Common Questions / FAQ
Who is LionScraper Python MCP for?
Builders who prefer Python and want MCP, CLI, or HTTP control of the LionScraper browser extension from an AI coding agent.
When should I use LionScraper Python MCP?
When you are in discovery or validation and need repeatable, agent-triggered scrapes from real browser sessions in a Python environment.
How do I add LionScraper Python MCP to my agent?
Install the PyPI package lionscraper, configure the LionScraper extension, and add a stdio MCP server entry for the Python module in your agent’s MCP settings.