Server data from the Official MCP Registry
Reddit Archive — historical Reddit post and comment search, and subreddit
About
Reddit Archive — historical Reddit post and comment search, and subreddit
Remote endpoints: streamable-http: https://gateway.pipeworx.io/reddit-archive/mcp
Security Report
This is a keyless Reddit historical archive MCP server that queries the public Arctic Shift API and returns publicly served Reddit posts and comments, with permissions (network_http) that match its purpose for a Marketing & Social data server. The code shown contains robust fetch timeouts, bounded retries, and error-body sanitization, with no evidence of data exfiltration, shell execution, or hardcoded secrets; the source is truncated, so the remainder of the file (including the tool handlers) was not fully reviewed. Supply chain analysis found 1 known vulnerability in dependencies (0 critical, 1 high severity).
3 files analyzed · 4 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
@pipeworx/reddit-archive
Historical Reddit post and comment search, and subreddit activity over time, going back to Reddit's early years — reaching far further back than the live Reddit API, which only exposes a recent, unfiltered window.
Part of Pipeworx — an MCP gateway connecting AI agents to 1779+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.
Tools
reddit_history_posts(subreddit, query?, after?, before?, limit?, sort?)— posts from one subreddit, filtered by keyword and/or date range. Returns id, title, author, created_utc (ISO), score, num_comments, permalink.reddit_history_comments(subreddit?, link_id?, query?, after?, before?, limit?, sort?)— comments scoped to a subreddit and/or a specific post, filtered by keyword and/or date range. Requires at least one ofsubredditorlink_id. Returns id, author, created_utc (ISO), score, body, link_id, permalink.subreddit_activity(subreddit, after?, before?)— subreddit identity (subscriber count, creation date, all-time post/comment totals, earliest indexed post/comment) plus monthly post/comment counts within a date window (default: the last 12 months).
Auth
Keyless.
Data sources
- Arctic Shift (the
arctic_shiftopen-source project by Arthur Heitmann), a historical Reddit archive — independently re-crawled and republished public Reddit posts, comments and subreddit metadata, covering years the live Reddit API no longer serves. No uptime guarantee is published.
Other notes
- Silent-zero handling. The upstream answers an empty result with the
same shape whether a subreddit genuinely has nothing matching a filter OR
the subreddit was never indexed at all — there is no dedicated "not found"
status for that case. On an empty result this pack makes one extra lookup
call against the upstream's own subreddit index to tell the two apart:
an unindexed/nonexistent subreddit throws a loud error; a real subreddit
with a genuinely empty window returns an explicit
verified_empty: trueresult instead of a bare[].reddit_history_commentsdoes the same check against the post id when scoped bylink_idinstead ofsubreddit. - Transient 422s and 429s. The upstream occasionally answers a well-formed
query with HTTP 422 ("Timeout. Maybe slow down a bit") or HTTP 429
(rate-limited) — observed live to recur 2-3 times in a row under load,
unrelated to the query itself. This pack retries both, honouring
Retry-Afteron a 429 when the upstream sends one, within a 20s wall-clock retry budget (not just a fixed attempt count) before surfacing it as a real error. - Monthly bucket labelling (
subreddit_activity). The upstream's aggregate endpoint buckets by local calendar month but reports each bucket's timestamp converted to UTC, which lands on the last hour of the PRECEDING UTC day (e.g. a January bucket arrives as"2019-12-31T23:00:00.000Z"). This pack rolls that timestamp forward to the next UTC midnight before reading the month, somonthly_posts/monthly_commentsare labelled by the month they actually cover. - Politeness. This pack keeps outbound calls to roughly one per second —
tools that need more than one upstream call internally (the empty-result
existence check;
subreddit_activity's three calls) space them out rather than firing in a burst. - No per-author aggregation.
reddit_history_commentsaccepts no author filter and this pack does not roll any tool's results up by author — only the raw, publicly-served posts/comments a filter matches. - Date format.
after/beforetake ISO dates like"2019-01-01". - IDs come back bare (e.g.
"ei9204", not"t3_ei9204");link_idaccepts either form.
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"reddit-archive": {
"url": "https://gateway.pipeworx.io/reddit-archive/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/reddit-archive/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Both URLs reach the same gateway and the same 1779+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No MCP client? Call it over HTTP
curl -X POST https://gateway.pipeworx.io/v1/tools/reddit_history_posts \
-H 'Content-Type: application/json' \
-d '{"subreddit":"datasets","before":"2020-01-01","after":"2019-01-01","limit":5}'
No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/reddit_history_posts. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
{
"mcpServers": {
"reddit-archive": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-reddit-archive"]
}
}
}
Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-reddit-archive
It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call
for only this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Reddit Archive data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Reviews
No reviews yet
Be the first to review this server!
More Marketing & Social MCP Servers
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.
FinAgent
Freeby mcp-marketplace · Finance
Free stock data and market news for any MCP-compatible AI assistant.
by Lharries · Communication
Read, search, and send WhatsApp messages through your AI assistant
Memory
Freeby Modelcontextprotocol · Productivity
Knowledge graph-based persistent memory across sessions
