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556,590 tools. Updated 2026-09-13 05:52

"A digest or summary of popular Reddit content" matching MCP tools:

  • Fetches today's fixed, curated Pollar daily brief with a greeting, headline, executive summary, themed sections, related events, and charts. Use only when the user explicitly asks for Pollar's daily brief or curated digest. Do not use it for questions about a subject, person, place, or country; use search_news instead. Locale changes the brief's language, not its editorial scope.
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  • Use this when you need the exact SHA-1, SHA-256, and/or SHA-512 hex digest of a UTF-8 string — never recall or guess a hash, since digests cannot be produced from memory. Deterministic: same input, same output. Pass `algorithm` for a single digest or `algorithms` for a subset; the default computes all three. The empty string is valid, and `byteLength` reports the UTF-8 encoded byte length of the input. Example: text "hello" with algorithm SHA-256 -> byteLength 5, hashes["SHA-256"] = "2cf24dba5fb0a30e26e83b2ac5b9e29e1b161e5c1fa7425e73043362938b9824".
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  • FluxInk document layout generator. Transform raw text content into a structured PDF using one of seven study or work templates, then preview it in an embedded PDF viewer widget. Supported layout_type values. cornell is the Cornell note taking layout with cue, notes, and summary. bullet_points is a clean bulleted summary. zettelkasten is atomic linked notes. journalism_5w1h is who, what, when, where, why, and how. meeting_add is a meeting agenda plus action items. sq3r is Survey, Question, Read, Recite, Review study notes. pso is Problem, Solution, Outcome. Use this when the user asks for a Cornell sheet, bulleted summary, Zettelkasten card, 5W1H breakdown, meeting agenda or minutes, SQ3R study sheet, or PSO writeup. Use this when the user wants to turn raw notes, lecture transcript, or source material into a printable PDF or formatted study sheet. Use this when the user asks for a downloadable PDF document of their content. Do NOT use this when the user just asks for a plain summary in chat. Give it inline. Do NOT use this when the user wants to handwrite or draw something. Call show_handwriting_canvas instead. Do NOT use this when the user wants text in a personal handwriting style. Call show_style_canvas instead. Do NOT use this for plain informational requests with no document generation intent. Always pass the source material verbatim in the content parameter. Do NOT pre summarize. The layout engine handles structuring. Pick the layout_type that best matches the stated purpose. If unclear, ask one short clarifying question instead of guessing. Do NOT re-call if a layout PDF is already visible from a previous turn unless the user explicitly asks for a different layout, different content, or a regeneration. After calling, write a single short acknowledgement and do NOT restate the PDF content.
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  • 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)
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  • Confirm a launch approval by approval_ref and expected_plan_digest after explicit approval. Recover the current summary/digest with operations_get_approval when the raw confirm_token is unavailable. Executes the same single-use approval; never retry blindly
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    Destructive
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  • Fetch full post content for up to 100 Reddit posts by their t3_ ids in one call -- the follow-up loop after reddit_search or reddit_get_subreddit_posts. Costs 4 credits for up to 10 ids, +1 credit per further 10 ids; every post comes back with its full body text. With exactly ONE id you may set detail to 'full' for +4 credits to also get the discussion tree (comments flattened in tree order with depth, about 200 per page, with a comments_cursor to continue), or pass comment_id (a t1_ id, also +4 credits) to fetch one specific comment in its post context. Post ids come from the other Reddit tools or from reddit_resolve_url on a post URL. Not for discovering posts; search first, then batch-fetch here.
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Matching MCP Servers

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    MCP server for RSS aggregation and LLM summarization, allowing users to fetch latest articles, search archives, and generate topic-specific digests via natural language.
    7
    MIT
  • A
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    A stateless RSS competitive-intelligence MCP server that fetches and filters RSS/Atom feeds by keywords, deduplicates, and sorts by recency to return a focused digest.
    3
    MIT

Matching MCP Connectors

  • Reddit: Reddit Data API offers streamlined access to Reddit’s public data, like posts, comments.

  • Reddit MCP — public Reddit data via JSON endpoints (no auth required)

  • Returns the most recent earnings call summary for a ticker — management guidance text, overall call sentiment (positive / neutral / negative with a one-line rationale), and AI-extracted highlights and lowlights from the call as {title, content} bullets. This is a structured summary derived from the call, not the raw transcript text. Useful for "what did management say about X on the last call", "was the most recent call bullish or bearish", or "summarise the highlights from MSFT's latest earnings". Only the most recent quarter is stored per ticker; for historical EPS actual-vs-estimate series use get_earnings_history. Args: ticker: Stock ticker (e.g. 'AAPL', 'NVDA'). Returns: { ticker, fiscal_year, fiscal_quarter, guidance, sentiment: { label, summary }, highlights: [ { title, content }, ... ], lowlights: [ { title, content }, ... ] }
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  • Fetch one cursor-paginated page of current TikTok videos for a username. Use the returned cursor to paginate and choose latest or popular ordering. Media URLs are temporary. Content always resolves against the US region. Each successful page, including an empty page, costs 0.2 account credits.
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  • Fetch one cursor-paginated page of current TikTok videos for a username. Use the returned cursor to paginate and choose latest or popular ordering. Media URLs are temporary. Content always resolves against the US region. Each successful page, including an empty page, costs 0.2 account credits.
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  • Fetches operational status of major dev infrastructure (GitHub, Cloudflare, Discord, OpenAI, Vercel, npm, Reddit, Atlassian, Anthropic). Cache TTL 60s. Use when the agent needs to know if a dependency is up or to explain a recent outage.
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  • Curated Sugi Atlas knowledge for genes, diseases, and drugs (built from biobtree's own data). SYNTAX: biobtree_atlas(entities=["TP53","imatinib"]) CALL THIS FIRST for a gene/disease/drug question (what it is, its biology, disease/drug/clinical context) - returns a concise, citable digest to ground your answer. Cite the returned canonical_url. - Pass the entity name(s) from the question; covered entities return content + citation, uncovered ones are listed in not_covered. - Default returns a compact digest (Summary + Identifiers). Each result lists the page's `sections` (top-level and sub-sections); pass section="Disease & clinical" (use a name from `sections`) for one zone, or full=true for the entire page (large). For big sections, query one entity at a time; full=true and large sections across several entities may be trimmed to fit. - For entities not covered, or for specific ID mappings / cross-references / filters, use biobtree_map / biobtree_entry instead. RETURNS: per entity {type, canonical_url, content, sections} + not_covered list
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  • Get posts from a REDDIT subreddit — r/LocalLLaMA, r/python, r/news. PREFER for "what are people posting in r/<sub>", "whats new on r/<sub> today", "top posts on Reddit this week". Sorted hot (default), new, top, rising, or controversial. For "top"/"controversial" pass a time window (day/week/month/year/all) — e.g. "top posts in r/programming this week". Returns post id, title, author, permalink, date, and a body snippet. (Vote score and comment count are not available via Reddit RSS.)
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  • Given a quote and (optionally) the author it is claimed to be by, return one of four verdicts: "verified" (genuine, with citation), "misattributed" (no primary source — popular but fake), "paraphrase_of_verified" (popular corruption of a real quote, returns the actual text), or "no_match" (not in corpus). Useful for journalists, researchers, and anyone tired of fake Mark Twain quotes.
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  • Get this week's most popular/trending Canton Network content (CIPs, forum threads, docs, blog, etc.) ranked by an engagement score. Canton-specific. Not general crypto/social/news trends. Use for 'what's hot/popular on Canton right now'; use get_recent_changes instead for a chronological 'what changed recently' feed.
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  • Returns the v1 Capital Authority Mandate draft template (v0 accepted too, and its template is included), the never-delegable act list, and the digest convention, so an agent can construct a draft its principal will mint at capital.new. A draft file wraps the draft as {mandate_draft, digest:{alg:'sha-256', hex}}; key order in the draft is part of the document.
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  • Read the full content of a Qencode knowledge-base resource by URI. Works for every URI returned by `search_qencode_docs` — recipes, best practices, storage, gotchas, error codes, and the schema digest. Call this after `search_qencode_docs` (or with a known `qencode://...` URI) whenever you need the full markdown or JSON of a recipe or reference doc. Args: uri: a `qencode://...` URI from a `search_qencode_docs` hit. Examples: - qencode://recipe/hls_abr - qencode://docs/best-practices - qencode://docs/storage - qencode://docs/error-codes - qencode://schema/digest Returns: A dict with `uri`, `mime_type`, and `content` (the full markdown or JSON, depending on the doc). On unknown URI, returns `{"error": "...", "available_uris": [...]}` listing the URIs you can try instead.
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  • Get a condensed execution summary: status, destination, per-widget summaries, URLs. Omits raw time-series and full DIGEST trees. Widgets with drillDown can be expanded via get_report_execution_widget. For DIGEST, tell the user tree and node investigations are available. EXAMPLE: { executionId: "clx…" }
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  • Ask Kamy whether a SHA-256 digest has an attestation on record — the tool that actually returns a verdict. Takes a digest, not a file: if what you hold is a PDF, run verify_pdf_signature over the bytes first and pass the sha256 it gives you. A match returns { verified: true, artifact_type, recorded_at, signature, public_key }. A false result means no attestation exists for those exact bytes, which happens both when content was altered after attestation and when it was simply never attested; it does not by itself identify tampering or a culprit. Public surface — like the extract_document verify URL, no API key is required, so a recipient can confirm an artifact independently of whoever sent it.
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  • Ask Kamy whether a SHA-256 digest has an attestation on record — the tool that actually returns a verdict. Takes a digest, not a file: if what you hold is a PDF, run verify_pdf_signature over the bytes first and pass the sha256 it gives you. A match returns { verified: true, artifact_type, recorded_at, signature, public_key }. A false result means no attestation exists for those exact bytes, which happens both when content was altered after attestation and when it was simply never attested; it does not by itself identify tampering or a culprit. Public surface — like the extract_document verify URL, no API key is required, so a recipient can confirm an artifact independently of whoever sent it.
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  • Validate a candidate result returned under the a2a2p domain-solutioning contract. The exact output of prepare_domain_solutioning_case is a prerequisite; malformed or non-prepared cases return a versioned machine-readable recovery workflow without weakening case-shape or digest checks. The operation verifies the source-case digest and provenance shape, rejects authority promotion and intent or design-file mutation, re-screens every candidate at quote stage, and runs the deterministic engineering review only after screening allows it. A successful response content-addresses the exact candidate result and returns a copy-ready, non-automatic source binding for prepare_simulation_study; every objective, constraint, physical input, setting, and validation plan remains caller-supplied. It stores nothing, runs no solver, calls no model or supplier, applies no patch, and grants no provider, quote, order, payment, or fabrication authority.
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  • Today's full machine-readable price digest (charter packages, tours, guides, FAQ) — same content as https://flytravel.al/llms-full.txt (cached, rebuilt hourly). Overview only; for any specific hotel/date/party use the charter_* tools.
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