"Epic Games" matching MCP tools:

• createSoundEffect

  Ludo AI Game Assets

  Produce a short sound effect (SFX) from a text description, such as "laser gun firing" or "footsteps on gravel". Synchronous: the call blocks until generation finishes and returns a single audio result containing a URL; there is no separate polling step. The description field is required, duration is capped at 10 seconds (0 means auto-pick based on the description), and you may set loop to true for a seamlessly looping effect. Credits are charged on success. Use this for short, discrete sounds; use createAmbiance for a continuous looping background soundscape, createMusic for musical pieces, and createAudioTransform to remix an existing audio sample. Pass an optional request_id to tag the result so you can locate it later via getAudioResults. Requires an API key (user scope). Credits: This endpoint consumes 2 credits per call.

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• list_games

  fomox402 — Last-Bidder-Wins on Solana

  List active and recently-settled $fomox402 game rounds. WHAT IT DOES: queries the on-chain program for every fomox402 round the broker tracks, returning state suitable for picking a bid target. Read-only, no auth required, cached ~5s server-side. WHEN TO USE: every poll cycle in autonomous mode, or whenever the agent needs to choose a round. Prefer over get_game when you don't already know the gameId. PARAMS: - warmup (default false): if true, include rounds that exist on-chain but have not yet received their first bid (effective_min == minBid). Useful for sniping cheap first bids; otherwise filter them out. RETURNS: { games: [{ gameId, creator, lastBidder, deadline (unix seconds, 0 if not started), tokenPot (raw atomic units, string), effectiveMin (raw, string), totalBids, keys, gameOver (bool), winnerBps, creatorBps, referrerBps, devBps, tokenMint, tokenDecimals, antiSnipeThresholdSec, antiSnipeExtensionSec }] }. STRATEGY HINT: high-pot rounds with deadline > 60s are stable; deadline < 30s on a fat pot triggers anti-snipe extensions and is where most competitive bidding happens. RELATED: get_game (single round detail), place_bid (bid on one), play (auto-pick).

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• list_games

  fomox402

  List active and recently-settled $fomox402 game rounds. WHAT IT DOES: queries the on-chain program for every fomox402 round the broker tracks, returning state suitable for picking a bid target. Read-only, no auth required, cached ~5s server-side. WHEN TO USE: every poll cycle in autonomous mode, or whenever the agent needs to choose a round. Prefer over get_game when you don't already know the gameId. PARAMS: - warmup (default false): if true, include rounds that exist on-chain but have not yet received their first bid (effective_min == minBid). Useful for sniping cheap first bids; otherwise filter them out. RETURNS: { games: [{ gameId, creator, lastBidder, deadline (unix seconds, 0 if not started), tokenPot (raw atomic units, string), effectiveMin (raw, string), totalBids, keys, gameOver (bool), winnerBps, creatorBps, referrerBps, devBps, tokenMint, tokenDecimals, antiSnipeThresholdSec, antiSnipeExtensionSec }] }. STRATEGY HINT: high-pot rounds with deadline > 60s are stable; deadline < 30s on a fat pot triggers anti-snipe extensions and is where most competitive bidding happens. RELATED: get_game (single round detail), place_bid (bid on one), play (auto-pick).

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• createAmbiance

  Ludo AI Game Assets

  Produce a looping background ambiance soundscape from a text description, such as "windy forest at dusk" or "busy tavern interior". Synchronous: the call blocks until generation finishes and returns a single audio result containing a URL; there is no separate polling step. The description field is required and duration is capped at 10 seconds (0 means auto-pick based on the description). Credits are charged on success. Use this for continuous, atmospheric background loops; use createSoundEffect for short discrete sound effects, createMusic for musical pieces, and createAudioTransform to remix an existing audio sample. Pass an optional request_id to tag the result so you can locate it later via getAudioResults. Requires an API key (user scope). Credits: This endpoint consumes 2 credits per call.

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• recent_changes

  Riot Games

  "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.

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• createSpeech

  Ludo AI Game Assets

  Convert text to speech by cloning the voice from an audio sample you provide (voice-cloning text-to-speech). Both text and sample are required; the text is limited to 1000 characters and the sample is supplied as a URL or base64 audio that must be at most 15MB, with violations returning HTTP 400. Synchronous: the call blocks until generation finishes and returns a single audio result containing a URL; there is no separate polling step. Credits are charged on success. Use this when you have a reference voice sample to clone; use createSpeechPreset to speak with a built-in named preset voice instead, and createVoice to design a brand-new voice from a text description rather than cloning one. Pass an optional request_id to tag the result so you can locate it later via getAudioResults. Requires an API key (user scope). Credits: This endpoint consumes 1 credits per call.

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• place_bid

  fomox402 — Last-Bidder-Wins on Solana

  Place a $fomox402 bid on a game round. Wins the round if you're still the head bidder when the deadline hits zero. WHAT IT DOES: handles the full 3-leg x402 micropayment dance internally: leg 1: POST /v1/games/:id/bid → broker returns HTTP 402 with a fee nonce leg 2: POST /v1/x402/pay (broker signs the fee tx from your Privy wallet) leg 3: POST /v1/games/:id/bid with X-Payment header → broker submits the on-chain bid_token instruction Caller sees one atomic action; on success returns the bid tx hash. WHEN TO USE: any time you want to be the head bidder. Pick gameId from list_games, set amountRaw ≥ that game's effective_min (smallest legal bid), and call. FEES: ~0.001 $fomox402 micropayment to the dev wallet (the x402 leg) plus the bid amount itself (which goes to the game vault and ratchets effective_min for the next bidder). Solana network fees ~0.00001 SOL/tx. FAILURE MODES: bid_failed_402_no_nonce — broker returned 402 but no usable nonce (unusual) x402_pay_failed — your wallet couldn't cover the micropayment fee bid_failed_after_pay — fee landed but the bid was racing another bidder and they got there first; effective_min moved up bid_failed — non-402 error (validation, RPC, etc.) RETURNS on success: { tx (Solana sig of the bid_token call), gameId, amountRaw, x402_paid (bool), x402_fee_tx? (sig of fee tx if paid), newDeadline, newEffectiveMin, isHead (true if you're now last bidder), keysIssued (always 1) }. MINTS 1 KEY: every successful bid mints you one key on the round. Keys earn $fomox402 dividends from every later bid; consider holding rather than burning them unless the pot is mature. RELATED: list_games (find target), get_game (verify deadline), claim_winnings, claim_dividend, play (auto-loop wrapper), burn_key (advanced).

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• entity_profile

  Riot Games

  "Tell me about X" / "research Acme" / "brief me on Tesla" / "what does Apple do" / "company profile for Microsoft" / "give me the rundown on NVDA" / "everything you know about $TICKER" — full cross-source profile of a US public company in ONE parallel call. ALWAYS PREFER over chaining single-pack SEC/XBRL/news lookups when the user asks for a holistic view. Fans out across SEC EDGAR, XBRL, USPTO, news, GLEIF and returns: cik + company_name; recent_filings (up to 5 with pipeworx://edgar/company/{cik}/filings/{accession} URIs); fundamentals (LATEST 10-K Revenues + NetIncomeLoss + Cash, sorted period_end DESC); patents (USPTO PatentsView API sunset May 2025 — soft-fails until reactivated); recent news mentions via GDELT→GNews fallback; LEI via GLEIF. Pass ticker "AAPL" or zero-padded CIK "0000320193" — names not supported (use resolve_entity first if you only have a name).

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• polymarket_arbitrage

  Riot Games

  REQUIRES one of `event` (single-event mode) OR `topic` (cross-event mode) — call with no args fails. Find arbitrage opportunities on Polymarket via monotonicity violations + partition-sum checks. `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.

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• polymarket_edges

  Riot Games

  Scan top Polymarket markets and return opportunities where Pipeworx data disagrees with market price. Built for "what should I bet on today" — agents discover opportunities without paging hundreds of markets. FIVE MODEL FAMILIES grouped into three response segments under by_segment: (1) MODEL_DRIVEN — crypto_price (lognormal barrier from 90d FRED log-returns) and news_momentum (GDELT 7d/21d article-volume ratio, soft signal w/ halved Kelly). (2) STRUCTURAL_ARBITRAGE — partition_overround on mutually-exclusive events; per-leg favorite-longshot bias correction with per-sport α (tennis 1.02, soccer 1.10, MMA 1.15, default 1.0); placeholder-slug filter drops will-person-X / will-team-Y / will-manager-Z / will-someone-else- backstops; partitions with >20% placeholder fraction skipped entirely. (3) CONCENTRATED_LONGSHOT — basket trade when one leg ≥75% AND ≥2 longshots ≤8% AND portfolio return ≥25:1; rare-by-design (gates relaxed Run 8 from prior 85%/5%/50:1). EVERY OPPORTUNITY carries edge_pp_net (after slippage), kelly_fraction + kelly_fraction_half (capped at 0.25), market.liquidity, market.spread_pp, market.volume, plus a 24h-move warning ("Market moved X.Xpp in 24h") when the recent move alone exceeds the edge — your edge may already be in the price. TRADEABLE-EDGE KNOBS: min_liquidity / max_spread_pp drop opportunities where edge isn't realizable; min_partition_leg_kelly filters partitions by best per-leg Kelly. RESPONSE TOP-LEVEL: by_segment{model_driven,structural_arbitrage,concentrated_longshot}, fed_candidates/fed_note (Fed bets surface here, excluded from ranking — 1m-T vs EFFR signal is unreliable at meeting-month horizons without paid OIS/SOFR-futures data), and _diagnostics{concentrated_longshot:{...funnel counters},category_counts,filter_skips} so callers can see WHY a segment is empty (top-N stale, all candidates failed gates, knob dropped them). Cached 1h at the KV level keyed on all knobs.

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• search_within

  Riot Games

  Semantic search INSIDE a fetched record. Pass the text you already pulled (e.g. a SEC 10-K body, an article, a long tool result) plus a natural-language query; get back the top-N passages with character offsets and similarity scores. Use when the record is too big to cram into the prompt — search_within saves context, returns only the passages that matter, and every passage carries an offset so the agent can verify a verbatim quote. Pairs with ask_pipeworx_grounded: fetch with the gateway, ground over the relevant passages instead of the whole document. BGE-base-en embeddings + cosine over 500-char overlapping windows; cap is 200K chars (longer inputs are truncated and flagged).

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• suggest_questions

  Riot Games

  What can I ask Pipeworx? / what is Pipeworx good for? / what can you do? / give me ideas / show me examples / getting started / what data do you have? — the onboarding entry point for an agent that just connected and wants to know what is worth asking. Returns category-bucketed example questions (company financials, drugs & clinical trials, economics, real estate, prediction markets, weather, government & patents, science & academia, news) — each with the exact tool + argument shape that answers it, drawn from the live catalog of thousands of tools. Call with no arguments for the full spread, or pass `topic` (e.g. "finance", "pharma", "betting") to focus. Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools (ask_pipeworx, entity_profile, compare_entities, etc.).

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• polymarket_fill_risk

  Riot Games

  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).

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• animateSprite

  Ludo AI Game Assets

  Animate a static sprite into a spritesheet driven by a motion text prompt (image-to-spritesheet): supply an initial_image (URL or base64) plus a motion_prompt like "walking" or "attack slash", and optionally a final_image to interpolate between a start and end frame. Synchronous: the call blocks until the spritesheet is rendered and returns a single sprite result directly (spritesheet URL, frame layout, and optionally a GIF or individual frame URLs when requested) with no separate polling step. The chosen model must support sprite animation and the duration must be valid for it; incompatible model/duration combinations return HTTP 400. Credits are charged only on success, based on the produced duration and never more than the duration you requested. For best results, call generatePose first to put the character into the desired pose, then animate it here; use listAnimationPresets to discover named presets, and prefer transferMotion when you already have a reference video or preset to copy motion from rather than describing it in text. Pass an optional request_id to tag the result so you can locate it later via getSpriteResults. Requires an API key (user scope). Credits: cost varies by model and duration (credits/sec): Blitz 1.9/s (min 4), Eagle 2.6/s (min 4), Eagle with Audio 3.1/s (min 4), Chaos 1.4/s (min 4); see this endpoint's full pricing table in the API docs.

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• createVideo

  Ludo AI Game Assets

  Generate a short video clip from a source image and a motion text prompt (image-to-video). Synchronous: the call blocks until rendering finishes and returns the video URL and its actual duration in seconds — there is no separate polling step. Optionally pass `final_image` to interpolate between a start and end frame. The chosen `model` and `duration` must be compatible (incompatible combinations return HTTP 400); see the `model` and `duration` fields for the values each model accepts. Credits are charged only on success, based on the produced duration and never more than the duration you requested. Pass an optional `request_id` to tag the result so you can locate it later via `getVideoResults`. Related tools: use `createImage` for static images, `animateSprite` for sprite-sheet animation, and `getVideoResults` to list videos you generated earlier. Requires an API key (user scope). Credits: cost varies by model and duration (credits/sec): Blitz 1/s, Eagle 1.3/s, Eagle with Audio 1.8/s, Chaos 0.6/s; see this endpoint's full pricing table in the API docs.

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• createMusic

  Ludo AI Game Assets

  Produce a piece of music from a text description, such as "epic orchestral battle theme" or "calm piano melody", with optional lyrics. Synchronous: the call blocks until generation finishes and returns a single audio result containing a URL; there is no separate polling step. The description field is required; duration must be one of the allowed values (0 means auto, otherwise multiples of 10 up to 180 seconds) and out-of-range values return HTTP 400. Credits are charged on success. Use this for songs and musical scores; use createSoundEffect for short sound effects, createAmbiance for looping background soundscapes, and createAudioTransform to remix an existing audio sample. Pass an optional request_id to tag the result so you can locate it later via getAudioResults. Requires an API key (user scope). Credits: This endpoint consumes 3 credits per call.

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• createSpeechPreset

  Ludo AI Game Assets

  Convert text to speech using a named built-in preset voice, with optional emotion and language settings. Both text and voice_preset_id are required and the text is limited to 1000 characters; invalid input returns HTTP 400. Synchronous: the call blocks until generation finishes and returns a single audio result containing a URL; there is no separate polling step. Credits are charged on success. Use this when you want a ready-made catalog voice and do not need to supply your own sample; use createSpeech to clone a voice from an audio sample instead, and createVoice to design a new voice from a text description. Pass an optional request_id to tag the result so you can locate it later via getAudioResults. Requires an API key (user scope). Credits: This endpoint consumes 1 credits per call.

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• listAnimationPresets

  Ludo AI Game Assets

  List the available animation presets along with their perspectives and the eight supported compass directions (N, NE, E, SE, S, SW, W, NW). Synchronous GET with no request body: it returns an animations array (each with id, name, category, description, duration, and preview_url), a deduplicated perspectives array, and the directions list. This is a free discovery endpoint and does not charge credits. Use it to obtain the preset_id, perspective, and direction values that transferMotion needs, and to find motion preset names you can reference when animating; pair it with transferMotion (to apply a preset onto a sprite) and animateSprite (text-prompt animation). Requires an API key (user scope).

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• wait_for_update

  cnvs.app

  Long-poll: blocks until the next edit lands on this board, then returns. WHEN TO CALL THIS: if your MCP client does NOT surface `notifications/resources/updated` events from `resources/subscribe` back to the model (most chat clients do not — they receive the SSE event but don't inject it into your context), this tool is how you 'wait for the human' inside a single turn. Typical flow: you draw / write what you were asked to, then instead of ending your turn you call `wait_for_update(board_id)`. When the human adds, moves, or erases something, the call returns and you refresh with `get_preview` / `get_board` and continue the collaboration. Great for turn-based interactions (games like tic-tac-toe, brainstorming where you respond to each sticky the user drops, sketch-and-feedback loops, etc.). If your client DOES deliver resource notifications natively, prefer `resources/subscribe` — it's cheaper and has no timeout ceiling. BEHAVIOUR: resolves ~3 s after the edit burst settles (same debounce as the push notifications — this is intentional so drags and long strokes collapse into one wake-up). Returns `{ updated: true, timedOut: false }` on a real edit, or `{ updated: false, timedOut: true }` if nothing happened within `timeout_ms`. On timeout, just call it again to keep waiting; chaining calls is cheap. `timeout_ms` is clamped to [1000, 55000]; default 25000 (leaves headroom under typical 60 s proxy timeouts).

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• pipeworx_trending

  Riot Games

  What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.

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