latent-9/reddit-growth-mcp

Reddit Growth MCP is a toolkit that helps someone figure out where to post on Reddit and how to shape a post so it does well, using data instead of guessing. It looks at which subreddits fit a topic, how likely a post is to be removed by moderators, what kind of format and timing tends to perform well in each community, and how a specific draft is likely to do before you post it. It can run two ways: as an MCP server that plugs into tools like Claude or Cursor, or as a standalone command line program. Most of its analysis needs no Reddit account or API keys at all, because it reads from Arctic Shift, a public historical archive of Reddit posts that replaced an older project called Pushshift. Reddit credentials are only needed to unlock a few extra tools, like searching for new subreddits by topic or pulling raw live data, and to get a more precise check of which posts were removed by comparing the archive against current Reddit directly. The main command, called plan, takes a list of subreddits and turns them into a short report: which subreddit is the safest strong target, other subreddits worth cross posting to, a viral recipe describing the post format, title length, and keywords that tend to perform well there, and the best days and times to post based on your timezone. Other commands let you check a single subreddit's traffic and removal rate, compare several subreddits side by side, look at how much genuine discussion a community generates versus just upvotes, and score a draft post's likely performance and acceptance risk with suggested fixes. A separate command called fit scores one draft across multiple subreddits and ranks them fairly, so a smaller community where a post would do great is not overshadowed by a bigger community's larger raw numbers. There is also an interactive menu script for anyone who prefers picking options from a list instead of typing command flags, complete with over 40 preset subreddit lists covering AI, developer, and startup communities. Getting started only requires Python 3.11 or newer and the uv tool, and the first growth plan can be generated with a single command right after installation.