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195,243 tools. Last updated 2026-06-12 02:31

"namespace:io.github.javierfajardo85-rgb" matching MCP tools:

  • Find the nearest human-friendly color name for one or more hex colors. Pass hex codes (with or without leading #), comma-separated for several at once. Returns the closest named color for each input, with its canonical hex, RGB, and perceptual distance. Optionally pick a naming list (e.g. "wikipedia", "ntc", "x11", "html", "japaneseTraditional", "leCorbusier", "bestOf"); defaults to "default". Use list_palettes to see all available lists.
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  • True-colour Sentinel-2 L2A RGB thumbnail centred on a cell. PNG returned as a native MCP ImageContent block (mimeType image/png). Pure-Rust pipeline: STAC search + HTTP-Range COG reads + 2-98 percentile stretch + PNG encode. When to use: Call when the user wants a VISUAL of a place — 'show me what this looks like', 'before/after the flood', 'is there a forest here', 'is this developed'. Returns a 256×256 px RGB image (~2.56 km × ~2.56 km at S2's 10 m native resolution), centred on the cell. Pass `cell` as a cell64 string OR a place name (auto-resolved). `max_cloud` filters scenes by `eo:cloud_cover` (default 20 %); raise it (60–80 %) for cloud-prone tropics if you keep getting 'no scene' errors. `datetime` is an RFC 3339 interval like `"2024-01-01T00:00:00Z/2024-12-31T00:00:00Z"` for a temporal slice (defaults to last 90 days). `structuredContent` carries the STAC item id, capture time, cloud_cover, EPSG, and per-channel reflectance percentile stretch values used — quote those alongside the image so the receipt is reproducible.
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  • Single-shot free-text answer about a real-world location, backed by signed satellite/elevation/water/built-up receipts. Forwards a place mention plus a question; runs the locate → recall → algorithm chain server-side; returns one packaged envelope. When to use: Use when the question concerns a specific real-world place and a packaged, citation-bearing answer is preferable to manual primitive composition. Forward the user's question verbatim as `q` plus the location as `place` (free text), `cell` (cell64), or `lat`+`lng`. The server resolves the location, classifies the question to a topic, recalls every relevant band (auto-materializing Sentinel-2 / Sentinel-1 / Cop-DEM / JRC GSW / Overture / weather on miss), surfaces the algorithm recipes that compose those bands into named scores, and returns a single envelope with `topic_routing`, `facts`, `algorithms_for_question`, an optional Sentinel-2 RGB scene URL, and a `caveats` block (grid resolution, revisit cadence). All facts are signed by the responder; the signed `receipt` (and its content-addressed `fact_cids`) is surfaced at the envelope ROOT — `response.receipt` / `response.fact_cids` — exactly like every other primitive, and is also mirrored under `facts_summary.receipt` for back-compat. Set `include_image: true` to bundle the latest cloud-free Sentinel-2 thumbnail. Out-of-scope questions return `topic_routing.matched_topic: null` plus the full inventory so the caller can route elsewhere.
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  • Simulate perceptually modelled subtractive mixing of two colours in CIE Lab space (not RGB screen blending). Returns the resulting mixed hex value and its nearest archive match with cultural context. Uses CIE Lab subtractive model for perceptual accuracy. Example: mixing Prussian Blue and Yellow Ochre gives a muted green — the tool identifies which archive colour that green most closely matches.
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  • Extract metadata from a PCD point cloud file. Returns point count, field definitions, data format, organization, viewpoint, feature flags (RGB, intensity, normals, curvature), bounding box, centroid, and point density estimate. Payment via x402 (USDC on Base) or card via MPP (Stripe). See format_auto for payment flow details. Privacy policy: https://caliper.fit/privacy
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  • Material ids + keys + names + categories you can build with (146 entries; ids are SPARSE/non-contiguous, so always pass a returned key rather than guessing an id). Category names are specific (e.g. "natural-stone", "marble", "metal-(ferrous)", "emissive", "glass"), so the category arg is matched FORGIVINGLY - "stone" finds "natural-stone", "metal" finds "metal-(ferrous)". NOTE: the "glass" materials are fully OPAQUE (this world has no transparent material) - use them as tinted accent panels, never as see-through windows (a window is an empty hole, not a glass block). Call categories_only:true FIRST to see the exact category list, then drill down (keeps the payload small for a token-budgeted brain). Each entry carries a "look" field (e.g. "near-white polished marble with soft veining", "warm yellow-brown wood with visible grain") + an rgb + a colour word, so PICK BY APPEARANCE - choose materials whose look fits what you are making, and vary them across a structure (foundation vs walls vs roof vs trim) instead of one flat grey stone. You can pass any returned key (e.g. "calacatta-gold") straight to build/place_block material.
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Matching MCP Servers

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    Enables AI assistants to interact with RGB assets, Lightning Network operations, and Bitcoin transactions through RGB Lightning Node APIs. Supports asset management, invoice creation/payment, channel management, on-chain transactions, and asset swaps.
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    1
    MIT
  • A
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    Cross-chain DeFi intelligence MCP server for AI agents. 7 tools for yield discovery, pool analysis, profit simulation, risk scoring, whale tracking, impermanent loss calculation, and DeFi overview across 86 chains and 6,500+ liquidity pools.
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  • Screens public GitHub repos and PRs to generate risk maps, findings, and merge-readiness signals.

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  • Convert a color between HEX, RGB, and HSL formats. Use when translating design tokens between CSS notations, verifying color accessibility, or normalizing color values from user input. Accepts #rrggbb, #rgb, rgb(r,g,b), or hsl(h,s%,l%).
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  • Extract metadata from a LAS or LAZ point cloud file. Returns LAS version, point format, point count, scale factors, offsets, bounding box, classification counts, feature flags (RGB, intensity, GPS time, waveform), and VLR information. Payment via x402 (USDC on Base) or card via MPP (Stripe). See format_auto for payment flow details. Privacy policy: https://caliper.fit/privacy
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  • Extract dominant color palette from an image. Returns hex/RGB/HSL colors with percentages, CSS names, and complementary colors. Great for design systems, mood boards, and color matching. FREE. (FREE)
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  • Simulate perceptually modelled subtractive mixing of two colours in CIE Lab space (not RGB screen blending). Returns the resulting mixed hex value and its nearest archive match with cultural context. Uses CIE Lab subtractive model for perceptual accuracy. Example: mixing Prussian Blue and Yellow Ochre gives a muted green — the tool identifies which archive colour that green most closely matches.
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  • Simulate perceptually modelled subtractive mixing of two colours in CIE Lab space (not RGB screen blending). Returns the resulting mixed hex value and its nearest archive match with cultural context. Uses CIE Lab subtractive model for perceptual accuracy. Example: mixing Prussian Blue and Yellow Ochre gives a muted green — the tool identifies which archive colour that green most closely matches.
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  • Extract dominant color palette from an image. Returns hex/RGB/HSL colors with percentages, CSS names, and complementary colors. Great for design systems, mood boards, and color matching. FREE. (FREE)
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  • Convert a color between hex, RGB, HSL, and HSV representations. Auto-detects the input format from the string syntax.
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  • Convert a hex color (e.g. #ff8800) to RGB and RGBA channel values. Accepts 3-, 4-, 6-, and 8-digit hex with or without the leading #.
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  • Convert a hex color to HEX, RGB, HSL, and CMYK formats. Input: hex string with or without # (e.g. "ff5733").
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  • Identify a color by hex code (e.g., "#FF5733"). Returns color name, RGB/HSL/HSV/CMYK values, and WCAG contrast ratios for accessibility.
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  • Convert between color formats: RGB to hex, HSL, HSV, CMYK. Returns the closest named color for the input values.
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