Get detailed content of a specific Reddit post with comments.
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523,718 tools. Updated 2026-09-06 13:58
"Reddit" matching MCP tools:
- Search Reddit for posts matching a query.ConnectorNo auth
- Get comments submitted by a specific Reddit user.ConnectorNo auth
- Get posts submitted by a specific Reddit user.ConnectorNo auth
- Get posts from a subreddit.ConnectorNo auth
- "What's new with X" / "latest on Y" / "what happened to Z this week / month / quarter" / "updates on Acme" / "news on Tesla recently" / "what's happening with Apple" — change feed for a company in the last N days/weeks/months in ONE parallel call. Fans out to SEC EDGAR (filings since `since`), GDELT→GNews fallback (news mentions in window — GDELT preferred, GNews when rate-limited or 5xx), USPTO (patents granted; PatentsView API sunset May 2025 so this soft-fails until reactivated). `since` accepts ISO date ("2026-04-01") or relative shorthand ("7d", "30d", "3m", "1y"). Returns structured changes[] grouped by source + total_changes count + pipeworx:// citation URIs. Use entity_profile instead when you want the static profile (filings + fundamentals + LEI + patents) regardless of window.ConnectorNo auth
Matching MCP Servers
- AlicenseAqualityAmaintenanceEnables browsing Reddit, searching posts, reading comment threads and user history, with opt-in posting and voting through the Reddit API.140MIT
- AlicenseAqualityCmaintenanceEnables browsing, searching, and reading Reddit posts, comments, and subreddits through Reddit's API using PRAW.6MIT
Matching MCP Connectors
Reddit MCP — public Reddit data via JSON endpoints (no auth required)
Reddit: Reddit Data API offers streamlined access to Reddit’s public data, like posts, comments.
- Rewrite YOUR drafted comment so it reads like a real person typed it, not an AI: strips AI tells, compresses to the 1-2 points that matter, varies rhythm, and lightly "dirties" it (lowercase sentence starts, no markdown). Best AFTER you draft a reply — write the real substance, then humanize it. INPUT RULES for best results: (1) put every fact/number/name you want kept IN the text — it never invents any; (2) keep it to ONE or TWO points — it cuts hard and drops the rest; (3) plain text only — markdown, bullet lists, and em-dashes are stripped; (4) shorter is better, ≤2000 chars; (5) one comment per call, do NOT include the post you are replying to. Pick `character` for the voice. Returns the rewrite, the AI "tells" found in your draft (so you can draft cleaner next time), and remaining daily quota. Output is intentionally imperfect + non-deterministic — do NOT "fix" it or retry for a cleaner version. Free · daily-capped · no Reddit credits. (usable right now without an account, daily-capped per IP)ConnectorNo auth
- Find arbitrage opportunities on Polymarket via monotonicity violations + partition-sum checks. Call with NO args for a `trending_scan` of the top ~200 markets by weekly volume; pass `event` for the strongest per-event partition_check, or `topic` for a themed cross-event scan. `event` (recommended for a specific market): pass a Polymarket event slug like "fed-decision-may-2026" or "when-will-bitcoin-hit-150k"; walks child markets, checks date-axis / threshold-axis ordering AND computes the partition_check (sum of YES prices across mutually-exclusive legs — should ≈1; deviations >3pp emit a BUY/SELL EVERY LEG signal). `topic` (for cross-event scanning): pass a seed question like "Strait of Hormuz traffic returns to normal" or "Fed rate decision"; searches related events across the platform, flattens markets, runs the comparator on the union. Cross-event mode catches "...by May 31" vs "...by Jun 30" patterns that single-event misses. SEMANTIC ANCHOR: cross-event pairs require ≥0.30 Jaccard similarity on question tokens (prevents Powell-Fed-Pause being paired with Powell-DOJ-probe); skipped_low_similarity surfaces the rejected pair count. PARTITION FILTER: drops will-person-X / will-manager-Y / will-someone-else- placeholder slugs; partitions with >20% placeholder fraction return null arb signal. Response: opportunities[] (gap_pp, suggested_trade, reasoning, monotonicity violation context), and in event mode partition_check{sum_yes_prices, gap_from_1, placeholders_filtered, suggested_trade}. FILL CHECK: when the partition signal fires, arbitrage.fill_check prices it against live CLOB depth (theoretical_edge_pp_at_book vs realizable_edge_pp at 1000 shares/leg, thin_legs[]) — realizable_edge_pp ≤ 0 means the overround exists only at last-trade, not in the book; do not trade it. For custom sizing use polymarket_fill_risk.ConnectorNo auth
- Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). ONLY for tools served by this Pipeworx connection — if the tool came from a different MCP server in your client (another vendor's Gmail, Splunk, Slack, etc. connector), we cannot fix it and reporting it here only delays you; file it with that server instead. Not sure? Pipeworx tool names are the ones this connection lists. Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. Filing without an account returns a `claim_token`; pass it back later as pipeworx_feedback({claim_token:"pwfb_…"}) to read whether it was fixed and what changed. The team reads digests daily and signal directly affects roadmap. Rate-limited to 5 per identifier per day. Free; doesn't count against your tool-call quota.ConnectorNo auth
- Search a single network for posts matching a query, returned as the unified Post[] schema and tagged with its platform. Keyless on TikTok, YouTube, and Pinterest. Instagram, Twitter/X, Reddit, and Facebook need operator-side credentials (returns credentials_required until set). Snapchat and Threads do not support keyless search (returns not_supported); LinkedIn is quarantined. To fan one query across every network at once, use search_all.ConnectorNo auth
- [DEPRECATED — renamed tag_rule_list. Will be removed after 2026-10-07.] List your org's TAGGING RULES (the dashboard's 'Tagging rules') — labels applied to posts your Watchers already ingest. NOT the dashboard's Keyword Monitor: for the keywords that search all of Reddit daily, use keyword_monitor_list. Each rule tags matching Dataset records whose title or body mentions its term as a whole word. Returns the term, active status, and match statistics. Changes take effect on the next scheduled processing cycle. Existing opportunity scores and matches are not retroactively updated. (requires a free Prowlo account — call it to get a signup link)ConnectorNo auth
- List records in your Dataset (Prowlo’s indexed posts from crawled sources). NOT a live Reddit call — free, rate-limited only. Filter by view (all/matched), subreddits, platforms, tags, keyword, `any` (brand-variant OR-group), include/exclude, intent, score/comments, date range, watcherId. Paginated via cursor. Note: tags / watcherId are record-level, so passing either uses the "matched" view automatically. Records whose keyword match was AI-judged coincidental are hidden by default (pass includeSuppressed:true to see them; each record carries a `verification` field). A filtered page can hold fewer than `limit` items — page until nextCursor is null. Long record bodies are trimmed to keep the page scannable — use get_record for a record’s full body. (requires a free Prowlo account — call it to get a signup link)ConnectorNo auth
- Which growth data sources and distribution channels are connected: GA4 and Search Console (the measurement behind SEO and outcomes), Google Business Profile, and the LinkedIn / Reddit posting channels. Each row carries an honest state: connected, not_connected, or not_available with the reason it is shut on this account. Read before start_connection so you never offer a connection that cannot be made. Read-only, free.ConnectorNo auth
- List your org's TAGGING RULES (the dashboard's 'Tagging rules') — labels applied to posts your Watchers already ingest. NOT the dashboard's Keyword Monitor: for the keywords that search all of Reddit daily, use keyword_monitor_list. Each rule tags matching Dataset records whose title or body mentions its term as a whole word. Returns the term, active status, and match statistics. Changes take effect on the next scheduled processing cycle. Existing opportunity scores and matches are not retroactively updated. (requires a free Prowlo account — call it to get a signup link)ConnectorNo auth
- List your Keyword Monitor entries (the dashboard's "Keywords" page): each searches all of Reddit once a day for its query and ingests matches into your Dataset. Returns your keyword quota (used/max; max -1 = unlimited). Add via keyword_monitor_create; pause via watcher_update; delete via watcher_delete (ids are Watcher ids). NOT the tagging rules — see tag_rule_list. Not a live Reddit call — free, rate-limited only. (requires a free Prowlo account — call it to get a signup link)ConnectorNo auth
- Cancel a subscription by id. Ownership is enforced — you can only cancel your own subscriptions. The row is deactivated (not deleted) so its historical events stay available via recent_alerts.ConnectorNo auth
- Composite "should I add this npm package to my project" check in ONE call — fans out across deps.dev (license + advisories + version history) and bundlephobia (gzipped/minified bundle size, dependency count, ESM/tree-shake support). Use whenever an agent asks "is X safe / popular / small" or "what does adding lodash cost me". Returns a summary block (is_latest, license, published_at, advisory_count, bundle_kb_min, bundle_kb_gz, dependency_count, has_esm, tree_shakeable), per-advisory detail, links, and a list of recent alternative versions. NPM ecosystem only in v1; PyPI / Maven / Cargo / Go fall under deps.dev:version directly. Partial failures degrade gracefully — bundlephobia's first measurement on a new version can take 5-30s; sources_failed will list it if it times out, the rest still returns.ConnectorNo auth
- Realizable-vs-theoretical edge check against live CLOB order-book depth. REQUIRES one of `market` (single-market mode) or `event` (basket/partition mode). SINGLE-MARKET: pass a market slug/URL + side (buy_yes|sell_yes|buy_no|sell_no, default buy_yes) + size_usd (default 1000 — max spend on buys, target proceeds on sells); walks the ladder and returns top_of_book, vwap_fill_price, slippage_pp, shares_filled, max_fillable_usd, and a verdict (clean|degraded|cannot_fill). BASKET: pass an event slug/URL + side (sell_yes = capture overround by selling every leg, buy_yes = capture underround; default auto from partition sum) + size_usd interpreted as settlement notional S (shares per leg; each share pays $1); returns theoretical_sum vs realizable_sum (top-of-book vs VWAP across all legs), capture_ratio, profit_usd at executed size, per-leg fill detail, thin_legs[], max_clean_notional_usd, and forced_directional_risk naming the legs most likely to strand you unhedged. USE THIS before acting on any polymarket_arbitrage SELL/BUY-EVERY-LEG signal or any polymarket_edges trade above ~$500 — theoretical overround on thin books is not capturable, and partial basket fills convert an arb into an unhedged directional position (the dominant loss mode in real arb-bot P&L).ConnectorNo auth
- Create Watchers — including KEYWORD MONITOR entries (the dashboard's "Keywords" page): pass platform "reddit_search" with the search query as `channel`; each searches all of Reddit daily and draws from its own per-plan keyword limit (keyword_monitor_create is the one-query shortcut). Community watchers (a subreddit or HN feed) are the default platform. A Watcher watches exactly ONE community/query, so each `sources` entry creates its own Watcher (its name is derived from the source, e.g. "r/saas"). Subject to your plan's Watcher limits. Not metered. (requires a free Prowlo account — call it to get a signup link)ConnectorNo auth
- Semantic + keyword search over Prowlo's own pre-crawled subreddit catalog (~1,200 tracked, active, non-NSFW communities) — NOT a live Reddit call and NOT your org's Dataset. The same index behind prowlo.com's public Subreddit Finder. Use this FIRST when discovering candidate communities for a product or niche; describe the audience or problem, not just keywords. Returns ranked cards with subscribers, posts/day, 30-day growth, and promoTolerance (low/medium/high; null = not yet profiled, NOT "no restrictions"). Free, cached, NOT metered. Next steps: catalog_get_subreddit for the full stat card, catalog_top_subreddits to browse rankings, watcher_create to start watching. For a LIVE Reddit subreddit search (subs outside this catalog), use social_find_channels (1 credit). For an evidence-backed, ranked report with rules and an engagement plan, use research_run / research_get. (requires a free Prowlo account — call it to get a signup link)ConnectorNo auth
- JSON matrix of data types (metadata, insights, transcript, frames, comments) per platform — YouTube (+Shorts), TikTok, Instagram Reels, Pinterest, Reddit. Call before framefetch_extract to confirm support. No input.ConnectorNo auth