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CommunityMentions MCP Server

by communitymentions Your server? Claim it
not responding

CommunityMentions is listed as active in the registry but did not answer our last check. It exposes 2 tools.

Which subreddits AI answers cite, matched to your product, with each one's most-cited threads.

Uptime history 38 hours of history · worst hour 0%
38 hours agonow
62.0%
Uptime 24h
57 of 92 checks
2
Tools
read from the server
285 ms
Response time
average over 24h
open, no key
Access
streamable-http

CommunityMentions does not always answer

Over the last week it answered 75.2% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 10 min ago.

run in your terminal
claude mcp add communitymentions --transport http https://communitymentions.com/api/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "communitymentions": {
      "url": "https://communitymentions.com/api/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.communitymentions]
url = "https://communitymentions.com/api/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "communitymentions": {
      "url": "https://communitymentions.com/api/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "communitymentions": {
      "url": "https://communitymentions.com/api/mcp"
    }
  }
}

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

subreddit
get_subreddit
Use this when someone asks how often AI answers cite a specific subreddit, which of its threads get cited, or whether it matters for being recommended by ChatGPT, Perplexity or Gemini. Takes a subreddit name such as "SaaS" or "r/marketing" and returns its AI citations by engine, the kinds of questions those answers were about, its most-cited threads and its member count.
subreddits
find_subreddits
Use this when someone asks which subreddits or Reddit communities fit a product, brand or niche, or where on Reddit AI answers look for recommendations in a category. Takes a short description such as "AI writing tool for marketers" and returns up to 10 matching subreddits, closest match first, with how often AI answers cited each, members and a link to each subreddit's data page. Only subreddits in CommunityMentions' data (cited 50+ times or with 50+ verified comments placed) are included; health, legal-help and adult communities are left out.

Endpoints

URLTransportStateLatencyChecked
https://communitymentions.com/api/mcp streamable-http answering 62 ms 10 min ago

Alternatives to CommunityMentions

same job, measured the same way
LeadFast
by leadfast

Buyer-intent Reddit posts matched to your product, with suggested replies. Read-only.

answering
ThreadFox Lite
by amflimited

Find subreddits you may post in, read their rules, check your account and posts. Free, read-only.

376 installs/wk local only
ProductByte
by productbyte

Social posts, ads and insights for e-commerce. One connection for your agent.

answering
Reddit Data
by superagnt

Reddit data for AI agents: posts, comments, subreddits, search. Community + sentiment research.

answering
ThreadSnoop Reddit API
by threadsnoop

Read-only Reddit search API for AI agents: posts, comments, comment trees, subreddit rules.

answering
Botdoor
by botdoor

Let AI agents post to social media with human approval: schedule, first comments, threads.

1 tools answering
AIsa Reddit
by aisa

Search every community or one of them, browse post streams, read comment trees.

answering
Comment Scraper
by supertj

Read your Comment Scraper exports of Reddit and Hacker News threads. Local and read-only.

284 installs/wk local only

CommunityMentions — questions

Answers built from our own checks of this server.

What can CommunityMentions do?
It exposes 2 tools, read directly from the server on our last check. Among them: find_subreddits, get_subreddit. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is CommunityMentions working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 57 of 92 checks got a reply (62.0%), average response time 285 ms. The bar chart above shows every period we have measured.
The registry lists CommunityMentions as active — why does it not respond?
The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.
How do I connect CommunityMentions?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does CommunityMentions need an API key?
No. CommunityMentions completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is CommunityMentions?
It answers our handshake in 285 ms on average, which is faster than 45% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.