Build a CSS box-shadow declaration from one or more shadow layers. Each layer has X/Y offset, blur, spread, color (hex or rgba), and an inset flag. Output is a copy-ready CSS string.
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184,844 tools. Last updated 2026-06-08 20:05
"Box" matching MCP tools:
- 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). Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. 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.Connector
- Search 2.4B+ GBIF occurrence records with Darwin Core filters. Use taxonKey from gbif_match_species for reliable results — it resolves synonyms automatically. Accepts country (ISO 3166-1 alpha-2), bounding box (decimalLatitude/decimalLongitude ranges), WKT polygon geometry, year range, month, basis of record, and coordinate filter. Pagination is capped at approximately offset+limit=100,000 — use gbif_occurrence_facets for aggregate counts across large result sets.Connector
- VERIFIABLE keyless company/org enrichment - unlike black-box aggregators, every response is cryptographically ATTESTED (Ed25519 over a SHA-256 of the body; verify offline via ?verify_helper=1) so your agent can PROVE the data is untampered, and every field carries an explicit source + confidence. Field-granular: name ONLY the fields you need and pay only for those (0.002 USDC per field on Base, vs flat-bundle incumbents). Each requested field returns {value, confidence 0-1, source, as_of}. Available fields (expanded 2026-06 for better coverage+conversion): firmographics (inception_year, employees, country, industry, parent_org, stock_exchanges, legal_form, website, description, employees_count, employees_as_of, industry_list, stock_exchanges_list, legal_form_detail) from Wikidata CC0; financials (cik, sic_industry, exchanges, fiscal_year_end, state_of_incorporation, revenue_usd, net_income_usd, total_assets_usd, recent_filings) from SEC EDGAR; web-attention (attention_score, momentum, mention_count). Clearer attested output: top-level .attestation (alg/signer/verify_helper_url/note) + .sources_covered on 200 bodies for agent moat parsing. Use a company NAME for firmographic/web fields, a US TICKER for financial fields. Keyless, no API key, no signup; company/org-level public data only, no PII. Pay-for-what-you-use in USDC on Base via x402 (total = number_of_fields x 0.002). DROP-IN for Apollo Org Enrich: pass domain + format=apollo_org for an Apollo-shaped organization{} object at ~$0.018 (vs Apollo org-enrich $0.0495), keyless, no PII. [x402 paid tool: GET /api/x402/enrich-v1-json?src=mcp returns the 402 challenge with the canonical payTo; price 0.002 USDC on Base eip155:8453.]Connector
- 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). Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. 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.Connector
- VERIFIABLE keyless company/org enrichment - unlike black-box aggregators, every response is cryptographically ATTESTED (Ed25519 over a SHA-256 of the body; verify offline via ?verify_helper=1) so your agent can PROVE the data is untampered, and every field carries an explicit source + confidence. Field-granular: name ONLY the fields you need and pay only for those (0.002 USDC per field on Base, vs flat-bundle incumbents). Each requested field returns {value, confidence 0-1, source, as_of}. Available fields (expanded 2026-06 for better coverage+conversion): firmographics (inception_year, employees, country, industry, parent_org, stock_exchanges, legal_form, website, description, employees_count, employees_as_of, industry_list, stock_exchanges_list, legal_form_detail) from Wikidata CC0; financials (cik, sic_industry, exchanges, fiscal_year_end, state_of_incorporation, revenue_usd, net_income_usd, total_assets_usd, recent_filings) from SEC EDGAR; web-attention (attention_score, momentum, mention_count). Clearer attested output: top-level .attestation (alg/signer/verify_helper_url/note) + .sources_covered on 200 bodies for agent moat parsing. Use a company NAME for firmographic/web fields, a US TICKER for financial fields. Keyless, no API key, no signup; company/org-level public data only, no PII. Pay-for-what-you-use in USDC on Base via x402 (total = number_of_fields x 0.002). DROP-IN for Apollo Org Enrich: pass domain + format=apollo_org for an Apollo-shaped organization{} object at ~$0.018 (vs Apollo org-enrich $0.0495), keyless, no PII. [x402 paid tool: GET /api/x402/enrich-v1-json?src=mcp returns the 402 challenge with the canonical payTo; price 0.002 USDC on Base eip155:8453.]Connector
Matching MCP Servers
- Alicense-qualityCmaintenanceA self-hosted MCP server providing stateful code execution (Python/JavaScript) with SQL query support, file I/O, and artifact management, replacing Azure Code Interpreter.Last updatedMIT
- AlicenseBqualityFmaintenanceA Python server that enables interaction with Box files and folders through the Box API, allowing operations like file search, text extraction, and AI-based querying and data extraction.Last updated100102MIT
Matching MCP Connectors
Box (enterprise cloud storage) MCP Pack
The Box MCP server is a secure gateway that connects external AI agents to enterprise content stored in Box, enabling agent-based document access, advanced search, and multi-file analysis while preserving Box security policies. It provides capabilities including keyword search, Box AI-powered Q&A across files, metadata extraction, file management, and authentication, all validated against Box's granular permission controls. The server integrates with major AI platforms like Anthropic Claude, Microsoft Copilot Studio, and Mistral Le Chat, and is available both as a Box-hosted remote server and a self-hosted open-source Python project.
- "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).Connector
- Explicitly request a synthesis contract for a named 3D object. Use this tool when generate_r3f_code returns status SYNTHESIS_REQUIRED, or to pre-generate geometry constraints before calling generate_r3f_code. Complexity tiers: low — 4 to 7 parts. Only Box, Sphere, Cylinder geometries. Best for: mobile banners, thumbnails, low-end devices. medium — 10 to 20 parts. Adds Capsule and Torus geometries. Best for: website sections, embedded widgets, tablets. high — 28+ parts. All geometries. Full emissive detail. Best for: hero sections, desktop showcase, ad campaigns. If target is set to "mobile" and complexity is not explicitly provided, complexity defaults to "low" automatically. This tool does NOT generate geometry. It returns the synthesis_contract with constraints calibrated to the requested complexity tier. The LLM generates the actual JSX and passes it to generate_r3f_code via synthesized_components.Connector
- "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.Connector
- 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.Connector
- "Compare X and Y" / "X vs Y" / "X versus Y" / "which is bigger / better / larger / more profitable" / "rank these companies" / "head to head" — side-by-side comparison of 2–5 companies or drugs in ONE parallel call. ALWAYS PREFER over sequential single-pack lookups when comparing entities. type="company" pulls LATEST 10-K revenue + net income + cash + long-term debt from SEC EDGAR/XBRL (off-calendar fiscal years handled correctly — AAPL Sep, NVDA Jan, etc.). type="drug" pulls FAERS adverse-event counts, FDA approval counts, active trial counts. Results sorted by primary metric so "largest" / "most" / "biggest" reads off the top of the response. Returns paired data + pipeworx:// citation URIs per entity. Replaces 8–15 sequential lookups.Connector
- Research a Polymarket bet by pulling the relevant Pipeworx data for it in one call. Pass a market slug ("will-bitcoin-hit-150k-by-june-30-2026"), a polymarket.com URL, or a question text. The tool resolves the market, classifies the bet, fans out to category-specific data packs in parallel, and returns an evidence packet + simple market-vs-model comparison. Use for "should I bet on X", "what does the data say about Y", or "is there edge in Z". CLASSIFIERS: crypto_price, fed_rate, geopolitical, sports, sports_championship, drug_approval, election_candidate, tech_launch, space_launch, corporate, corporate_earnings, corporate_event, public_figure_speech, weather, other. FAN-OUT EXAMPLES: BTC bet → coingecko + fred + gdelt+gnews; Fed bet → fred (DFEDTARU + EFFR + CPIAUCSL) + kalshi_macro (KXFED implied probs) + recent_fed_actions (federal-register rules, last 365d); Hormuz bet → imf_portwatch + airspace + gdelt; Yankees WS → mlb_stats_standings + parent_event partition + news; hottest-year bet → climate_projection_nyc + gistemp_latest (NASA global anomaly, rank since 1880) + news; NVDA-vs-AAPL → finnhub get_quote + edgar shares-outstanding (derived market cap) + edgar filings + news. RESPONSE SHAPES: result.market carries best_bid/best_ask/spread_pp/liquidity/price_change_1h/1d/1w; result.analysis carries model_probability/edge_pp/kelly_fraction_half when a closed-form model fires PLUS a 24h-move warning ("Market moved X.Xpp in 24h, comparable to model edge — your edge may already be priced in") when relevant; result.evidence is keyed by source. RESOLVER CONTRACT: result.market_match_confidence ∈ {high, medium, low, none}, market_match_score (0-1 token-overlap), market_match_alternatives[] (other candidate markets the resolver considered), and suggestions[] (explicit re-query hints when the match is fuzzy) — ALWAYS inspect these before trusting the analysis block, because medium/low matches can still surface other fields. PARENT_EVENT EXTRACTOR: when the bet is one leg of a partition (Yankees WS, Romania election), result.parent_event{matched_candidate, top_legs_by_price[], partition_size, placeholders_filtered} gives you the peer prices in one place — that's the headline for elections/championships. NEWS FIELDS: news entries carry _fallback_attempted / _fallback_failed_reason / retry_after_sec when GDELT 429s and GNews backfill ran or failed. SAFETY: low-confidence resolutions short-circuit with status:"low_confidence_match" and suppress analysis fields so agents can't accidentally size on phantom matches. Closed/dead markets that ARE still indexed by Polymarket (yes_price≈0, no volume, no liquidity) return status:"market_closed_or_inactive" and skip fan-out. In practice resolved markets are usually de-indexed and instead surface via the low_confidence_match path above — both routes are BLOCKING, just different mechanisms. Wide-spread markets (>10pp) carry tradeability:"illiquid_wide_spread" + an explanatory note.Connector
- "What's the ticker for…" / "find the CIK for…" / "what's the RxCUI for…" / "look up the ID for…" / "what is X's official identifier" — resolve a user-spoken NAME to the canonical/official identifier other tools require as input. Use FIRST whenever you have a name but need an ID. SUPPORTED TYPES: "company" (returns ticker + 10-digit CIK + company_name from SEC EDGAR + pipeworx://edgar/company/{cik} citation URI; accepts ticker, CIK, or company name as input — auto-disambiguated), "drug" (returns RxCUI + ingredient + brand from RxNorm + pipeworx://rxnorm/{rxcui} citation; accepts brand or generic name). Each call cascades through several lookup endpoints internally — using resolve_entity replaces 2-3 manual lookups.Connector
- "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.Connector
- Search seismic events from EMSC (European-Mediterranean Seismological Centre) via the FDSN-standard seismicportal.eu API. Global coverage with especially strong Europe/Mediterranean reporting — complements USGS. Filter by UTC time range, magnitude, and location (either a bounding box OR a center point + radius in degrees). Times are UTC ISO 8601, depth in km, and place names come from the Flynn-Engdahl region. Example: search_earthquakes({ start: "2026-01-01", end: "2026-02-01", minmag: 5.0, orderby: "magnitude" }) or search_earthquakes({ lat: 38.0, lon: 23.7, maxradius: 5, minmag: 3 }).Connector
- Find USGS water monitoring sites by bounding box, state, county, or HUC watershed code. Filter by site type (stream gage, groundwater well, lake) and parameter availability. Returns site numbers, names, coordinates, types, and (in expanded mode) drainage area and altitude. Call this first to discover site numbers — water_get_readings, water_get_series, and water_get_conditions all require a site number. To check which parameters or data types a site carries, use the parameterCd or hasDataTypeCd filters. Results are capped at 500 sites; when truncated=true the full upstream count is in upstreamTotal — narrow the query with bbox, countyCd, huc, siteType, parameterCd, or hasDataTypeCd to get all matches.Connector
- Cross-venue spread between Kalshi and Polymarket for the same resolving question. The two venues sometimes price the same outcome 2-25pp apart because their participant pools differ — when the bet shapes are equivalent that delta is a real signal, when they aren't the tool says so. TWO MODES: (1) `topic` — 10 pre-mapped macro shortcuts ("fed", "btc", "cpi", "gdp", "sp500", "recession", "next_pope", "next_uk_pm", "next_israel_pm", "2028_president") auto-fetch the matching event on each venue. (2) explicit `kalshi_event_ticker` + `polymarket_event_slug` for custom pairings. RESPONSE: each venue's leg-by-leg prices (raw probability 0-1) plus matched spread[].top_spreads_pp (Kalshi − Polymarket) where the same outcome shows up on both sides. SAFETY FIELDS: compatibility_warning fires in two cases — (a) matched_pairs:0 with skipped_cross_type>0 means the venues frame the topic with non-equivalent bet shapes (e.g. Kalshi range_bucket point-in-time vs Polymarket cumulative_threshold touch-anywhere — no arb exists), (b) matched_pairs:0 with skipped_cross_type:0 and both venues >5 legs means the token-overlap matcher found nothing in common — events likely semantically unrelated despite the topic keyword. temporal_alignment{polymarket_month,kalshi_month,aligned} tells you whether the two events resolve in the same calendar period; aligned:false means spreads are mathematically meaningless across the temporal gap. skipped_cross_type / skipped_cross_subtype counters expose how many leg-pair comparisons were dropped (cross-type = metric_type mismatch like MoM vs YoY; cross-subtype = inequality mismatch like cum_ge vs cum_le). Real cross-venue spreads are rarer than the macro-shortcut list suggests — most pre-mapped topics return compatibility_warning today; pre-mapped ≠ tradeable.Connector
- Compare AI visibility across multiple entities side-by-side. Probes each entity (your brand + N competitors) with ai_visibility_check, ranks by score, surfaces which is most/least recognized. Useful for competitive AI-marketing audits: "does Claude know about us as well as our competitors?". Returns ranked list with score, confidence, signal density per entity.Connector
- Save data the agent will need to reuse later — across this conversation or across sessions. Use when you discover something worth carrying forward (a resolved ticker, a target address, a user preference, a research subject) so you don't have to look it up again. Stored as a key-value pair scoped by your identifier. Authenticated users get persistent memory; anonymous sessions retain memory for 24 hours. Pair with recall to retrieve later, forget to delete.Connector
- 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.Connector