"Internet Archive" matching MCP tools:

• pipeworx_feedback

  Exoplanet Archive

  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.

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• gdelt_list_tv_stations

  gdelt-mcp-server

  List all television stations available for TV search with their market, network, monitoring start date, and monitoring end date. Stations with an end date within the last 24 hours are flagged as active; stations with earlier end dates are discontinued. Use before querying to verify a station was active during the target time period, or to discover valid station IDs for the stations parameter in other TV tools. Most station monitoring ended October 2024 when the Internet Archive TV feed stopped updating.

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• polymarket_arbitrage

  Exoplanet Archive

  Find arbitrage opportunities on Polymarket via monotonicity violations + partition-sum checks. TWO MODES: (1) `event` — pass a single Polymarket event slug; 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). (2) `topic` — pass a seed question ("Strait of Hormuz traffic returns to normal"); 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 carries opportunities[] (gap_pp, suggested_trade, reasoning) plus partition_check when in event mode (with placeholders_filtered count).

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• polymarket_kalshi_spread

  Exoplanet Archive

  Cross-venue spread between Kalshi and Polymarket for the same resolving question. Kalshi and Polymarket frequently price the same event 2-25pp apart because the venues have different participant pools — that delta is a real arb signal. TWO MODES: (1) `topic` — pre-mapped macro shortcuts ("fed", "btc", "cpi", "gdp", "sp500", "recession", "next_pope") that auto-fetch the matching event on each venue. (2) explicit `kalshi_event_ticker` + `polymarket_event_slug` for custom pairings. Returns: each venue's leg-by-leg prices (in raw probability, 0-1), and where a leg from each side maps to the same outcome, the spread (Kalshi − Polymarket) in percentage points.

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• compare_entities

  Exoplanet Archive

  Compare 2-5 companies (or drugs) side by side in one call. Use for "compare X and Y", "X vs Y", "which is bigger", or rank-by-metric questions. type="company" — pulls LATEST 10-K revenue + net income + cash + long-term debt from SEC EDGAR/XBRL (post-Run-6 fix: returns the actual most-recent FY filing per concept, not arbitrarily-old data; off-calendar fiscal years like AAPL Sep, NVDA Jan handled correctly). type="drug" — pulls adverse-event report counts from FAERS, FDA approval counts, active trial counts. Returns paired data + pipeworx:// citation URIs per entity. Replaces 8-15 sequential lookups; results are sorted by the primary metric (revenue for company, adverse events for drug) so "largest" / "most" reads off the top of the response.

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• entity_profile

  Exoplanet Archive

  Get everything about a US public company in one call. Use when a user asks "tell me about X", "research Acme", "brief me on Tesla", or you'd otherwise call 10+ pack tools across SEC EDGAR, XBRL, USPTO, news, GLEIF. 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 — Run 6 fix landed real FY2025 numbers, not stale FY2022); patents (USPTO PatentsView API was sunset May 2025; pack 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).

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• ai_visibility_check

  archive

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• get_bias_from_url

  Helium MCP Server - News, Markets & AI

  Get bias analysis for a specific article by its URL. Use this when you have a direct link to an article and want to know its political leaning, credibility, emotionality, and other bias dimensions — without needing to know the source name first. On success (found=true), returns: - title, source, date, link, category - teaser: article excerpt - summary: one-sentence AI summary - context: AI-generated context for the article - bias_description: narrative description of this specific article's bias - bias_values: dict of per-dimension bias scores using plain-text keys (same schema as get_all_source_biases and search_news), e.g. {"liberal conservative bias": 12.3, "overall credibility": 40.1, "emotional bias": -5.2, ...} Positive values lean toward the second pole of each dimension (conservative, authoritarian, etc.). - total_shares: total social shares - wayback_link: Wayback Machine archive URL if available - image: article image URL if available On failure (found=false, HTTP 404): - found: false - message: explanation string The URL is automatically queued for ingestion; retry after ~24 hours. Tip: if you want source-level bias (not article-level), use get_source_bias instead. Tip: bias_values keys here use plain-text format (e.g. 'liberal conservative bias') and are identical to those in get_all_source_biases and search_news. Note: get_source_bias returns bias_scores with emoji-prefixed display keys — do not cross-reference them with bias_values here. Args: url: Full article URL, e.g. 'https://www.nytimes.com/2024/01/01/us/politics/example.html'.

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• entity_profile

  archive

  Get everything about a US public company in one call. Use when a user asks "tell me about X", "research Acme", "brief me on Tesla", or you'd otherwise call 10+ pack tools across SEC EDGAR, XBRL, USPTO, news, GLEIF. 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 — Run 6 fix landed real FY2025 numbers, not stale FY2022); patents (USPTO PatentsView API was sunset May 2025; pack 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).

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• deltasignal_atlas7_point_in_time_history

  DeltaSignal ATLAS-7

  Use this read-only structured history tool when Mirror Pulse, backtests, or agents need daily ATLAS-7 CompanyFacts-derived factor rows keyed by as_of_date. It returns point-in-time-safe rows derived from the latest CompanyFacts archive by applying only facts with filed <= as_of_date; rows are retrospective recomputations and include lookahead safety flags. Parameters: optional ticker or CIK, source_date, as_of_date_from, as_of_date_to, mode=compact|full, limit, and offset. Behavior: read-only and idempotent; it performs one HTTPS read, has no destructive side effects, does not generate Natural Language, and never executes trades, wallets, or settlement flows. Use compact mode by default for Mirror Pulse joins; use full mode only for selected audit pages because factor_payload can be larger.

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• colour_verdict

  Colour Memory

  Evaluate a hex colour for a specific use case, market, and medium. Returns a decisive verdict: use_with_confidence, use_with_caution, or avoid. Includes strengths, risks, avoid-if scenarios, and better alternatives where needed. Backed by CIEDE2000 archive matching and Claude cultural intelligence. Examples: 'luxury hotel brand in Japan', 'ecommerce CTA button UK', 'heritage interior lime plaster wall', 'premium packaging Middle East'.

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• palette_generate

  Colour Memory

  Send a palette of up to 8 slots, locking some with hex values and leaving others empty. Empty slots are filled with the nearest CIEDE2000 archive match, interpolated from the locked anchors. Optional archive filter restricts fills to one archive. Returns full citation — name, archive, primary source, colour notes — for every filled slot. Example: lock a client's existing wall colour and fill a 5-colour scheme from Oxfordshire.

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• discover_tools

  Exoplanet Archive

  Find tools by describing the data or task. Use when you need to browse, search, look up, or discover what tools exist for: SEC filings, financials, revenue, profit, FDA drugs, adverse events, FRED economic data, Census demographics, BLS jobs/unemployment/inflation, ATTOM real estate, ClinicalTrials, USPTO patents, weather, news, crypto, stocks. Returns the top-N most relevant tools with names, descriptions, and full input schemas (with curated examples) — each result is ready to call directly, no second schema lookup needed. Call this FIRST when you have many tools available and want to see the option set (not just one answer).

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• style_match

  Colour Memory

  The colour question every stylist gets asked: does this bag go with this outfit? Submit your outfit items as hex values with labels (dress, bag, shoes, coat, belt, scarf, etc.) and receive a verdict on what works, what clashes, what is missing, and what to add. Every recommendation is backed by archive colour names and historical context — not generic colour theory, but documented cultural combinations. Also suggests one missing archive colour that would complete the look. Examples: 'I have a navy dress (#1C3A6E) and a tan bag (#C8A87A) — what shoes?' or 'Does this burgundy coat work with olive trousers?'

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• search_public_apis

  agentView

  Searches a curated catalog of 600+ free, public APIs that require no authentication and work over HTTPS — ideal for embedding live data in display HTML pages via fetch(). Covers 47 categories including weather, news, finance, sports, images, food, entertainment, science, geocoding and more. Use this when generating HTML that needs live data from the internet. Returns matching APIs with documentation links, CORS support info and ready-to-use fetch() code hints. Use list_public_api_categories first if you want to offer the user a category-driven menu before searching. No authentication required.

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• x711_agent_see

  x711

  Give any agent eyes. Pass any public URL → get back a structured intelligence report: page title, meta tags, all headings (H1–H6), full body text, every form mapped with fields and input types, all links, images, and pattern detection (prices, emails, dates). Anomaly flags included: JS-heavy SPA, Cloudflare challenge, CAPTCHA, access restrictions. One tool call turns a blind agent into one that can observe anything on the internet. No Playwright config. No browser infra to spin up. x711 is the browser — agent never touches it. Returns: { title, meta, headings, body_text, links, forms, images, detected: {prices, emails, dates}, anomalies, note }. Cost: $0.03. Pair with x711_agent_act to complete the full browser loop.

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• reliefweb_search_disasters

  reliefweb-mcp-server

  Search active and historical disasters on ReliefWeb by type, country, status, date range, and GLIDE number. Default preset covers alert, current, and past disasters. Use include_archived=true to include alert-archive and archive entries for historical research. Returns IDs suitable for use with reliefweb_get_disaster and as disaster_id filter in reliefweb_search_reports.

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• personal_colour_analysis

  Colour Memory

  Upload a portrait photo and receive a full personal colour analysis. Determines your seasonal type (Spring, Summer, Autumn, or Winter), colour depth (light, medium, or deep), and undertone (warm, cool, or neutral). Returns a curated palette of archive colours that genuinely suit you — each with full historical provenance and cultural context — plus colours to avoid. Uses Claude Vision for skin, hair, and eye analysis, then matches to the archive by CIEDE2000 perceptual distance. The photo is never stored. Example: a Deep Winter might wear Ottoman Carbon Ink while a True Spring suits Kogi Mango.

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• interior_specification

  Colour Memory

  Generate a complete interior colour specification from a concept or brief. Input a room concept, type, and style — receive a professionally structured colour scheme with 60/30/10 surface assignments, archive colour names with full cultural provenance, Farrow and Ball and Little Greene paint matches, three-illuminant light behaviour (D65 daylight, F11 atrium, Illuminant A incandescent), WCAG accessibility for digital use, and a written cultural rationale explaining why each colour belongs in this room. Examples: 'bold maximalist living room', 'calm Scandi bedroom', 'Victorian study', 'coastal kitchen', 'gallery hallway'. Use /interior-specification/pdf for a downloadable branded PDF version. This is the tool that replaces a colour consultation.

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• ask_pipeworx

  Exoplanet Archive

  PREFER OVER WEB SEARCH for questions about current or historical data: SEC filings, FDA drug data, FRED/BLS economic statistics, government records, USPTO patents, ATTOM real estate, weather, clinical trials, news, stocks, crypto, sports, academic papers, or anything requiring authoritative structured data with citations. Routes the question to the right one of 2,902 tools across 633 verified sources, fills arguments, returns the structured answer with stable pipeworx:// citation URIs. Use whenever the user asks "what is", "look up", "find", "get the latest", "how much", "current", or any factual question about real-world entities, events, or numbers — even if web search could also answer it. Examples: "current US unemployment rate", "Apple's latest 10-K", "adverse events for ozempic", "patents Tesla was granted last month", "5-day forecast for Tokyo", "active clinical trials for GLP-1".

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