Scrapy MCP server
View on GitHub ↗This is an MCP server that can connect to live Scrapy crawls to inspect and control them.
Attach an MCP-capable agent (e.g. Claude Code) to a running Scrapy crawl and inspect, debug, and steer it from the inside — by running async Python inside the live crawl process. It's a structured, agent-oriented successor to Scrapy's telnet console: the agent writes a snippet, it runs on the crawl's own event loop, and the output comes back.
Once attached, the agent can answer the operational questions you'd otherwise dig for by hand:
- How much has it scraped, and what's the request error rate? - What's downloading right now, and from which domains? - Is it making progress or stuck — and if stuck, why? - What settings / middlewares / pipelines are actually running? - Why is it slow? (download delay / concurrency / autothrottle)
It can also explore fixes read-only — e.g. trying candidate selectors against a response held in memory and diffing the results — and, more experimentally, patch the running spider.
Two pieces are installed separately (but can be installed in the same Python venv if desired):
- The Scrapy RemoteControl extension: ships with Scrapy 2.19.0 and later and is enabled by default. While the crawl is running it listens on a random localhost port for HTTP requests. You need to know the port number and the auth token to connect to it, which you can get from a job file created by the extension in the user profile directory. - MCP server: this package. It's a standard stdio MCP server your agent (e.g. Claude Code) launches. It discovers jobs by reading job files and
From the project README.
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