reddit-mcp

reddit-mcp

Enables reading Reddit content (posts, comments, search) via RSS feeds without an API key or account, supporting subreddit browsing and post retrieval with minimal setup.

Category
Visit Server

README

reddit-mcp

<!-- mcp-name: io.github.jorgen-k/reddit-mcp -->

A small local MCP server that lets Claude read Reddit (and other JSON endpoints), refining the responses down to the fields that matter.

How it reaches Reddit: Reddit gates its Data API (new apps require a moderation use case + approval) and blocks anonymous .json access, but it still publishes public Atom/RSS feeds for reading content. This server uses those — so it needs no account, no app, no API key, no login.

Trade-off: RSS carries title, author, link, timestamp, and full post/comment text, but not scores, upvote ratios, or comment counts (those only live in the gated API).

Tools

Tool What it does
browse_subreddit(subreddit, sort="hot", time_filter="day", limit=25) Posts from a subreddit (hot/new/top/rising/controversial).
get_post(url, comment_limit=50) A post plus its comments (flat list — RSS doesn't expose the reply tree).
search_reddit(query, subreddit=None, sort="relevance", time_filter="all", limit=25) Search Reddit, optionally scoped to one subreddit.
fetch_json(url) Reddit URLs → the .rss feed (refined); other URLs → fetched as-is, falling back to the .json convention.

Requirements

  • uv — handles Python + deps. uv run server.py provisions an isolated env from pyproject.toml on first run. No other setup.

Install

reddit-rss-mcp is published on PyPI (the plain reddit-mcp name belongs to an unrelated project). Three ways to install it, easiest first.

From PyPI (recommended)

uvx reddit-rss-mcp fetches and runs the published package for you, no clone needed. This is the preferred install.

Claude Code:

claude mcp add reddit -s user -- uvx reddit-rss-mcp

Claude Desktop — one-click: download reddit-rss-mcp.mcpb from the latest release and drag it into Settings → Extensions. No JSON editing, no absolute paths. (It runs uvx reddit-rss-mcp, so it needs uv on your PATH.)

Claude Desktop & Cowork — manual config (fallback if you'd rather not use the extension; add to claude_desktop_config.json using the absolute path from which uvx, then follow the quit/relaunch steps below):

{
  "mcpServers": {
    "reddit": {
      "command": "/absolute/path/to/uvx",
      "args": ["reddit-rss-mcp"]
    }
  }
}

From GitHub (latest main, no clone)

To run unreleased changes, point uvx at the repo and the reddit-rss-mcp entry point. Append @v1.1.2 (or any tag) to pin a release instead of tracking main:

claude mcp add reddit -s user -- uvx --from git+https://github.com/jorgen-k/reddit-mcp reddit-rss-mcp

From a local clone

Prefer this if you want to edit the code. Clone it somewhere first:

git clone https://github.com/jorgen-k/reddit-mcp.git
cd reddit-mcp

Claude Code

claude mcp add reddit -s user -- uv --directory "$(pwd)" run server.py

Verify with claude mcp list (should show reddit: ✓ Connected). If Claude can't find uv, use its absolute path (which uv) instead of bare uv.

Claude Desktop & Cowork

Both use the same config file: ~/Library/Application Support/Claude/claude_desktop_config.json. Add a mcpServers entry using absolute paths — the app doesn't inherit your shell PATH. Get the values with which uv and pwd:

{
  "mcpServers": {
    "reddit": {
      "command": "/absolute/path/to/uv",
      "args": ["--directory", "/absolute/path/to/reddit-mcp", "run", "server.py"]
    }
  }
}

If the file already has other top-level keys, add mcpServers alongside them — don't overwrite the file.

Then:

  1. Fully quit the appCmd+Q, not just closing the window. The running app rewrites this file, so an edit made while it's open can be discarded.
  2. Relaunch. It may take a couple of restarts before the server registers.
  3. Grant permission when the app prompts to run the server.

The Reddit tools then appear in the app.

Don't use a Custom Connector (the "add server by URL" option) for a local server — those are dialed from Anthropic's cloud and can't reach localhost, no matter the cert or tunnel. The config-file method above spawns the server locally on your machine, which is what works.

Updating after a code change

The server runs as a long-lived process that's spawned once when the client connects. Editing server.py does not hot-reload it — the running process keeps the old code until it's restarted. After any change, restart the server so the new code takes effect:

  • Claude Code: run /mcp, select reddit, and reconnect it (or restart Claude Code).
  • Claude Desktop & Cowork: fully quit the app (Cmd+Q) and relaunch.

Notes

  • Read-only, public content only.
  • No scores/vote counts/comment counts (RSS limitation). For those you'd need Reddit's Data API, which now requires a moderation use case + approval.
  • Be considerate with request volume — these are public feeds.

Rate limiting

Reddit throttles its unauthenticated RSS feeds aggressively. On an HTTP 429 the server transparently retries with backoff (honoring the Retry-After header when present, otherwise exponential backoff with jitter) and only surfaces an error after retries are exhausted. It also keeps a small minimum gap between outbound requests to avoid tripping the limit in the first place. All tools share this behavior. A 429 is retried up to 7 times, sleeping roughly 2, 4, 8, 16, 32, 64, 128 seconds (plus jitter) between attempts.

Search is only as good as Reddit's search

search_reddit uses Reddit's own search engine — RSS is just the output format, so results are identical to the website/API search, not a separate (weaker) index. That engine has real limits:

  • It doesn't search comment text — only post titles and bodies (and community names). A term that only appears in a comment won't be found.
  • Very new posts lag — search indexing isn't instant. To catch brand-new posts reliably, use browse_subreddit(sort="new") instead of search.
  • It isn't exhaustive — low-relevance results get dropped or buried.

So a "no results" means "Reddit's search didn't surface it," not a guarantee it was never posted anywhere on the site.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured