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307,130 tools. Last updated 2026-07-17 01:26

"Creating a Gantt Chart from Tasks and Dependencies" matching MCP tools:

  • Call when the user wants a visual overview rather than a narrative answer ("show me this week", "chart for today", "next 12 months", "看一下图"). Returns an ASCII chart: `hourly` = 12 two-hour blocks of one day, `weekly` = 7 days, `yearly` = 12 months. The `hourly` mode emits the same hour-resolution scores as `intentions_ask_hour` and is gated behind the Pro subscription on the same terms — on the free tier it returns a `subscription_required` error whose payload suggests `weekly` / `yearly` chart modes or `intentions_ask_day` as alternatives. `weekly` and `yearly` are always free.
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  • Read tasks from a 'todo' board with server-side filtering — handy for 'what's overdue?' / 'what's assigned to X?' without pulling the whole board. All filters are optional and AND together: `assignee` (exact match), `priority` ('H'|'M'|'L'), `done` (boolean), `overdue` (true → due_date strictly before today, not done), `due_before` / `due_after` (ISO date window on due_date). Returns `{ boardId, mode, tasks }` — tasks ordered by sort, each with the same fields as `list_tasks`.
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  • Solar return chart for a given year. Finds the exact moment the Sun returns to its natal tropical longitude and builds a complete Western natal chart for that moment at the birth location. Provide the year as an integer (e.g. 2026). SECTION: WHAT THIS TOOL COVERS Annual solar return — the chart cast for the precise instant the transiting Sun reaches the natal Sun's longitude, relocated to birth place (not relocated charts). The embedded data.chart is a full tropical chart at that instant. SECTION: WORKFLOW BEFORE: asterwise_get_western_natal — understand natal chart before reading return. AFTER: None. SECTION: INPUT CONTRACT birth — WesternBirthData. house_system ignored (chart uses return computation defaults). year (int) — calendar year of the return (e.g. 2026), not age. SECTION: OUTPUT CONTRACT data.planet — 'Sun' data.natal_longitude (float — natal Sun tropical longitude) data.return_utc (string — ISO 8601 UTC moment of return) data.return_jd (float — Julian Day of return) data.chart — full Western natal chart at return moment SECTION: RESPONSE FORMAT response_format=json serialises the complete response as indented JSON. response_format=markdown renders the same data as a human-readable report. Both modes return identical underlying data. SECTION: COMPUTE CLASS MEDIUM_COMPUTE (~800ms, iterative Sun longitude search) SECTION: ERROR CONTRACT INVALID_PARAMS (local): WesternBirthData validation failures. INTERNAL_ERROR: Any upstream API failure or timeout → MCP INTERNAL_ERROR Edge cases: year param is the calendar year of the return (e.g., 2026), not the age. Feeding age instead of year silently produces the wrong return chart. SECTION: DO NOT CONFUSE WITH asterwise_get_western_lunar_return — Moon return, ~monthly. asterwise_get_varshaphal — Vedic Tajika solar return — different system.
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  • Build an aggregated IPO chart and return its data plus canonical embed, page, and API URLs. Use this instead of hand-building chart URLs. Anonymous requests are quota-limited and may clamp a 52-week range to 26 weeks or a daily bucket to weekly unless the explicit date window is at most 31 days.
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  • Audit the supply chain risk of a GitHub repository's dependencies. Fetches the repo's package.json and/or requirements.txt from GitHub and runs behavioral commitment scoring on every dependency. This is the fastest way to audit a project — just provide the GitHub URL or owner/repo slug, and get a full risk table in seconds. Risk flags: - CRITICAL: single publisher/maintainer/owner + >10M weekly downloads (publish-access concentration risk) - HIGH: sole publisher/maintainer + >1M/wk downloads, OR new package (<1yr) with high adoption - WARN: no release in 12+ months (potential abandonware) Examples: - "vercel/next.js" — audit Next.js dependencies - "https://github.com/langchain-ai/langchainjs" — audit LangChain JS - "facebook/react" — audit React's dependency tree - "anthropics/anthropic-sdk-python" — audit Anthropic Python SDK Use this when someone asks "is my project at risk?" or "audit this repo's dependencies".
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  • Create and manage Gantt project charts directly from Claude — add tasks and milestones, link all four dependency types, duplicate/share charts, and export to Markdown, CSV, Mermaid, or .gantt. Backed by the free, no-signup ganttchartmaker.app, with cloud save and real-time collaboration.

  • Zoom Tasks server for creating, updating, assigning, and synchronizing task workflows.

  • Use when you need the full natal chart for interpretation, comparison, or downstream transit/progression work. Returns planets, houses, aspects, patterns, dignities, and Big Three. `detail="compact"` drops the per-aspect details (keeps `aspects.summary` counts) and per-pattern planet lists — saves ~15k tokens on a typical chart, useful when you only need placements + angles. Next step: if you need aspect-by-aspect narrative material, call with `detail="full"`; for transits to this chart, call `current_transits` or `transit_search` with the same birth data.
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  • The sky at a moment and place — not tied to any person. Use for "what's the sky/transits right now" or the chart of a non-birth event. Date defaults to now; lat/lon default to 0,0 (geocentric on the equator at the prime meridian), where houses and ASC/MC are nominal — pass a real location if houses matter. For a specific person's birth chart use natal_chart instead. Returns positions, houses, retrogrades, aspects.
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  • Build chart-ready Hyperliquid trade OHLC candles with fixed buckets and auto intervals. COMMON USER ASKS: - BTC candles WHEN TO USE: - You want candles for one coin on Hyperliquid. - You need chart-ready OHLC, volume, and VWAP data from fills. DON'T USE: - You want scalar time-series buckets or raw fills. EXAMPLES: - BTC candles: {"network":"hyperliquid-fills","coin":"BTC","duration":"6h","interval":"auto"}
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  • List the user's A2A deal-monitor tasks (saved filters that generate notifications). Call before creating one, or when the user asks what monitors they have set up.
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  • Fetch a chart artifact generated by a council session or LOCUS determination. Returns the machine-readable spec (the data behind the chart) plus the stable SVG URL, or the raw SVG itself with include_svg=true. Artifact ids appear in session results as 'visualizations' / 'visualization' reference blocks. Requires authentication and enforces the artifact owner's tenant boundary.
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  • Get pre-built template schemas for common use cases. ⭐ USE THIS FIRST when creating a new project! Templates show the CORRECT schema format with: proper FLAT structure (no 'fields' nesting), every field has a 'type' property, foreign key relationships configured correctly, best practices for field naming and types. Available templates: E-commerce (products, orders, customers), Team collaboration (projects, tasks, users), General purpose templates. You can use these templates directly with create_project or modify them for your needs. TIP: Study these templates to understand the correct schema format before creating custom schemas.
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  • Patch a single chart in an existing dashboard by chart ID. Provide only the chart fields to change. Set a field to null to remove it. Use overwrite=true to skip version conflict checks, or provide the current dashboard version for optimistic concurrency control.
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  • Relationship charts for two people: the midpoint composite (each body and angle is the shorter-arc midpoint of the two natal positions) and the Davison chart (a real chart cast for the midpoint in time and place). Each person needs date+lat+lon.
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  • Map the full dependency tree of an npm package and identify CRITICAL supply chain risks at every level. Unlike auditing a flat list of packages, this tool traverses the dependency graph — showing not just your direct dependencies but also what your dependencies depend on. Hidden CRITICAL packages (sole publisher + >10M weekly downloads) often lurk 1-2 levels deep. Risk flags: - CRITICAL: single npm publisher + >10M weekly downloads — sole point of failure for a massive attack surface - HIGH: sole publisher + >1M/wk, OR new package (<1yr) with high adoption - WARN: no release in 12+ months (potential abandonware) depth=1 (default): root package + all direct dependencies depth=2: also traverses one more level for any CRITICAL/HIGH direct deps (reveals hidden exposure) Examples: - audit_dependency_tree("express") — see all of Express's deps and their risk scores - audit_dependency_tree("langchain", 2) — reveal transitive CRITICAL deps 2 levels deep - audit_dependency_tree("@anthropic-ai/sdk") — audit Anthropic SDK full tree Use this when someone asks: - "What am I really depending on?" - "Are my dependencies' dependencies safe?" - "Show me the full supply chain risk for package X"
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  • Check type effectiveness matchups and find Pokémon by type (e.g., "fire", "water"). Returns damage chart and up to 20 Pokémon.
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  • Get available versions of a chart (newest first). Supports both HTTP/HTTPS repos and OCI registries (oci://). Use this to confirm a chart exists before calling get_values, or to find a specific version to pin.
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  • Returns an inline 1200x630 SVG price chart for a single attribution: a clean line chart of the ticker's close price across a window around the attribution's created_at, with a vertical marker pinned at the attribution time and the headline_citation text labelled inline. Designed to be embedded by another agent in its own answer (the SVG is small enough to inline). Chart is a price snapshot generated at request time, not a live trading view. Marker placement reflects the attribution's `created_at`, not the underlying spike's first observation. Cost: 1u per call (~$0.01 via x402, deducts 1 from daily quota).
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  • Render and validate a chart config, store it for 10 minutes, and return a public image URL. A fetched image may remain cached for up to 1 hour. Authenticated calls use the account's render allowance.
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  • Check a chart config against the current schema without creating an image. Use when validation itself is requested or while debugging.
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