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640,892 tools. Updated 2026-10-05 10:47

"Carrd" matching MCP tools:

  • Buy credits for the edge library and AI research. Default $5 minimum. Free — no credits consumed to call this. TWO PAYMENT METHODS: card (default): Returns a Stripe Checkout link for your user to click and pay. After payment, call check_balance to confirm credits were added. crypto: USDC on Base. Fully autonomous — no human needed. Three steps: 1. buy_credits(payment_method='crypto') → returns deposit address + payment_intent_id 2. Send USDC to the deposit address (use your wallet tool) 3. buy_credits(payment_intent_id='pi_...') → confirms payment, credits added instantly If you have wallet access, this is the fastest path — fully machine-to-machine.
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  • Use this when the user supplies up to 10 exact CardDeals product IDs or brand slugs to compare in one call. Product IDs use the form brand:starbucks. Do not use it for fuzzy discovery; use search_gift_card_deals instead. Unknown IDs are returned in not_found instead of being guessed.
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  • Connect the user's existing POKEKA account or check its current access permissions. Use when the user explicitly asks to connect, sign in, or check their POKEKA account access (连接账号、登录、查看账号权限). Requires POKEKA OAuth; if not connected, return the account-linking challenge and retry after authorization. Public card and market queries do not require this tool. Returns the existing access tier and connection-management link, never credentials or personal identifiers. Does not purchase or change a plan. Calls update token activity and may record internal usage statistics.
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  • Use when the user asks what a card is worth, its PSA 10 / PSA 9 / CCIC 10 price, current market value, or what it last sold for. Returns a headline price (USD/CNY/JPY) from verified real sales (robust median — never listings, never interpolated) with grading company, grade, sample size, window and confidence, plus a per-grade ladder (PSA 10/9/8, CCIC, BGS, CGC …). Pass company + grade to price a specific grade (e.g. company "PSA", grade "9"); if that grade has no data the response says price_status "grade_not_available" and does NOT fall back to PSA 10. price_status "reference_only" = low confidence or thin sample — quote it with that caveat (safe_to_quote=false). "card_not_found" = wrong id, search again. Markets are kept separate: Japanese cards with Japan-domestic activity are priced from JPY marketplace sales (not converted US prices), Simplified-Chinese cards from Chinese market sales including CCIC slabs. Calls record usage and query metadata within POKEKA.
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Matching MCP Servers

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    Interprets advanced hockey player cards to translate metrics into plain-language assessments, supporting player evaluation, claim verification, and player comparisons with deterministic rules.
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Matching MCP Connectors

  • Evidence-bearing public webpage monitoring with hashes, diffs, signed webhooks, REST, and MCP.

  • The Sandbox is a public wall reserved for AI agents: humans read, agents write. Each day brings one Oulipo-inspired writing constraint (30 in rotation), checked in code where possible. Now bilingual, French and English. No API key, no account. Le Carré de Sable est un mur public réservé aux agents IA : les humains lisent, les agents écrivent. Chaque jour, une contrainte d'écriture d'inspiration oulipienne. Bilingue, français et anglais. Sans clé ni compte.

  • Use when the user asks which Pokémon cards are rising or falling, what is hot, or the biggest moves this week/month. lang = "en" / "ja" / "zh-cn" (market tracks never mix). direction = "up" (cards rising) or "down" (cards falling), default "up". window = "7d" / "30d" / "90d"; omit to use the default window published for that track. Every row passes a liquidity gate — at least 5 verified sales in both the current and the base window, change capped at ±40%, both medians consistent with the card's reference price — and carries price_now / price_base / n_cur / n_prev, so a listed move is a real same-card, same-grade move. Up to 20 cards. Calls record usage and query metadata within POKEKA.
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  • Talk to VARRD AI (~$0.25/turn). Describe any trading idea in plain language and the system handles everything — loading decades of market data, charting your pattern, running statistical tests, backtesting with stops, and generating exact trade setups. MULTI-TURN: First call creates a session. Keep calling with the same session_id, following context.next_actions each time. 1. Your idea -> VARRD charts pattern 2. 'test it' -> statistical test (event study or backtest) 3. 'show me the trade setup' -> exact entry/stop/target prices HYPOTHESIS INTEGRITY (critical): VARRD tests ONE hypothesis at a time — one formula, one setup. Never combine multiple setups into one formula or ask to 'test all' — each idea must be tested as a separate hypothesis for the statistics to be valid. Say 'start a new hypothesis' between ideas to reset cleanly. - ALLOWED: Test the SAME setup across multiple markets ('test this on ES, NQ, and CL') — same formula, different data. - NOT ALLOWED: Test multiple DIFFERENT formulas/setups at once — each is a separate hypothesis requiring its own chart-test-result cycle. If ELROND council returns 4 setups, test each one separately: chart setup 1 -> test -> results -> 'start new hypothesis' -> chart setup 2 -> etc. KEY CAPABILITIES you can ask for: - 'Use the ELROND council on [market]' -> 8 expert investigators - 'Optimize the stop loss and take profit' -> SL/TP grid search - 'Test this on ES, NQ, and CL' -> multi-market testing - 'Simulate trading this with 1.5 ATR stop' -> backtest with stops EDGE VERDICTS in context.edge_verdict after testing: - STRONG EDGE: Significant vs zero AND vs market baseline - MARGINAL: Significant vs zero only (beats nothing, but real signal) - PINNED: Significant vs market only (flat returns but different from market) - NO EDGE: Neither significant test passed TERMINAL STATES: Stop when context.has_edge is true (edge found) or false (no edge — valid result). Always read context.next_actions.
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  • Get a personalized market news briefing based on your validated edge library. Profiles your strategies, searches today's news for the instruments and setups you actually trade, and writes a concise digest connecting each headline to your specific book. Each news item includes a ↳ line tying it to your actual positions and edges (e.g. 'your ES momentum setups', 'your GC mean-reversion edge'). Requires at least 5 strong edges in your library. Costs credits.
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  • Sort supplied version tags ('v1.9.0' or '1.9.0') in NUMERIC version order (v1.9.0 before v1.70.0 — which a lexical sort gets wrong). TypeScript port of a sha-pinned Yeongsu (영수) reference delivery; malformed tags return a teaching error, never a crash. DATA ONLY, read-only, no HMAC required, no network, no orders, no wallet/account access.
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  • TAKES NO ARGUMENTS. POST {"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"no_arguments_check_this_hosts_own_discovery_documents","arguments":{}}} to https://www.pathwren.workers.dev/mcp/doctor — the answer is the whole agent-discovery catalogue checked against THIS host — every document this server tracks, whether this host serves it, its size and content type, which ones are missing, and the part only this server can add: the named clients it has watched ask for each file, when, and the status that request took. There is nothing to fill in: the input schema is literally empty, `arguments: {}` and no `arguments` key at all both work, and the subject is a file this host already publishes, so the answer does not depend on you at all. No key, no account, no OAuth, no session to open first, read-only, and nothing for you to invent. Nothing is fetched to build it — no request leaves this edge, and none is made to you. whoami and example are here too and take nothing either. Every other tool on this server wants a file pasted in; this one wants nothing. The siblings answer one question each under the tool named beside them: /mcp (whoami), /mcp/lint (whoami), /mcp/triage (no_arguments_triage_this_hosts_own_crawler_log), /mcp/robots (no_arguments_lint_this_hosts_robots_txt), /mcp/netcheck (no_arguments_report_the_crawler_ip_ranges_this_host_mirrors), /mcp/markdown (markdown_lane_self_report). Example: the complete call, exactly as written, nothing to fill in — {"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"no_arguments_check_this_hosts_own_discovery_documents","arguments":{}}} returns a present/missing verdict per tracked document with its byte size, the group each belongs to, the score out of the catalogue, and the observed askers per document with the date and status each one got.
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  • Use this when the user wants the most valuable cards in a specific set or a priced checklist of a set. Requires a set id from list_sets. Returns raw and PSA 10 USD prices per card. Do not use for a single named card; use search_cards instead.
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  • Delete a job card entered by mistake. One with labor or materials logged is refused, naming what it holds, because deleting it would lose the record of work done: archive it instead. The JC number is never reissued.
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    Destructive
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  • Delete a catalogue line no rate card points at and that never priced a resolved line, freeing a free-tier slot. Otherwise it is refused, naming what depends on it: reprice it to withdraw it instead.
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    Destructive
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  • Show the hourly rate for a role as of a date and currency: the row picked is the latest valid_from at or before that date, and the answer names it. With no role given, lists every card. Free.
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  • Use this when a Live Card render was queued and you have its job_id. Call it again while status is queued or rendering. When status is ready, downloads holds four links (jpeg, mov, mp4, gif) and content_identifier is the Apple id shared by the JPEG and the MOV. Give the user every link and say they expire at expires_at (24 hours). The JPEG and MOV are the Live Photo pair. The MP4 and GIF play elsewhere. status failed includes error_code. status expired means the files were deleted. A wrong job_id is not_found. It does not start a render.
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  • THE PRIMARY TOOL — start here. FREE at depth=0, always safe to call. Live feed of THIS USER'S OWN statistically validated trading edges — the ones on their account — running 24/7 against real market data. See which of YOUR edges are firing right now, get trade levels, or audit the full methodology. Scoped to the connected account: if the user has no edges yet, this returns none (it is NOT a general/shared library). THREE TIERS: depth=0 (FREE — call this first): See which of YOUR edges are firing right now, pending bar close, or actively in trades. Markets and status only — no direction, no stats. Get a sense of what's live. depth=1 ($0.50): Unlock direction, occurrence count, EV/trade, stop-loss, take-profit, hold horizon, and current entry prices for ALL active edges in one request. depth=2 ($1 per edge, $5 for all): Full methodology — the actual formula, setup code, how the edge was discovered, edge decay analysis, complete performance analytics (Sharpe, drawdown, equity curve, profit factor). Machine-readable so any AI can audit the statistical rigor. Includes drill-down sections (free after purchase): setup_code, horizons, analytics, occurrences, and view (interactive chart link for your user, 15 min). Every edge in this library is Bonferroni-corrected, tested against both zero returns and market baseline, with K-tracking to prevent p-hacking. Out-of-sample validated. Full transparency.
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  • Point VARRD's autonomous AI in a direction and let it discover edges for you. Give it a topic and it draws from one of the most comprehensive market structure knowledge graphs ever built — containing ideologies and theories, not statistics — so it generates genuinely novel hypotheses rather than overfitting to what already worked. BEST FOR: Exploring a space broadly. Give it 'momentum on grains' and it might test wheat seasonal patterns, corn spread reversals, or soybean crush ratio momentum. It propagates from your seed idea into related concepts you might not think of. Returns a complete result — edge or no edge, stats, trade setup. Each call tests ONE hypothesis through the full pipeline (~$0.25/idea). Call again for another idea. Use 'varrd_ai' instead when YOU have a specific idea to test and want full control over each step.
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  • Advisory market-regime gate: returns ALLOW or BLOCK plus move_pct from current vs reference price and a drop threshold. Pure calculation, DATA ONLY, read-only, no HMAC required, no orders, no wallet/account access. Not trading advice.
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  • Search graded Pokémon cards by name (Chinese / English / Japanese), community nickname (e.g. "鬼皮"), or set code + card number (e.g. "sv8a 喷火龙", "CEL 4"). 中文用户: 按官方卡名/圈内简称/系列码+卡号查任意宝可梦评级卡, 返回 card_id 供查价/走势/存世量工具使用。Returns up to 10 matching cards with card_id (incl. rarity/variant/species fields) — use card_id with the other tools. A bare set code or set name (e.g. "151c", "Celebrations") returns a set-level summary with guidance instead of a truncated card list — follow it to get_set_overview / set_species_summary for whole-set stats. Optional lang filters to one language track (en / ja / zh-cn); tracks are never mixed. Calls record usage and query metadata within POKEKA.
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  • Whole-set statistics for one Pokémon TCG set: total cards, per-language-track counts, breakdown by rarity (with EN star-system + JP-style display names) and by variant (Master Ball / Poké Ball mirror slots etc.), top featured Pokémon, plus a paginated card checklist. 中文用户: 一次拿到整个系列的卡表统计(总卡数/每稀有度几张/每变体几张/出场宝可梦), 不用逐张搜。Use for questions like "how many cards / SR cards are in 151c". Accepts internal set_code, official abbreviation (CEL) or set name. Catalog data only — for the most valuable cards in a set use set_top_priced_cards; per-card prices via card_price. Calls record usage and query metadata within POKEKA.
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