Apify Actor audits GitHub Markdown links and files issues without cloning the repo

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A developer built a GitHub Documentation Link Auditor using an Apify Actor and an MCP connector that reads Markdown files directly from GitHub without cloning the repository or storing credentials in the Actor input. The tool checks up to 100 public HTTP links per run and creates or updates a single marker-owned GitHub issue with its findings, avoiding the noise of repeated daily issue creation. On August 9, 2026, the Actor was tested twice against a public fixture, successfully identifying one broken 404 link, one rejected loopback URL, and two reachable links across both runs. The workflow uses two separate MCP connector inputs — one read-only and one write-only — so dry runs do not require write permissions, and the Actor never gains access to branch, pull-request, or file-editing tools. The approach inverts the typical Apify MCP pattern, where an external AI client calls Actors as tools, instead having the Actor call a third-party service at two narrow points in its pipeline.

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