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127,424 tools. Last updated 2026-05-05 16:27

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

  • emem_cell_scene_rgb

    emem — Earth memory protocol

    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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  • emem_ask

    emem — Earth memory protocol

    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 receipt's `fact_cids` are content-addressed and citable. 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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  • format_pcd

    Caliper

    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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  • format_las

    Caliper

    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_palette

    Studio MCP Hub Site

    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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  • extract_palette

    studiomcphub

    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)
    Connector

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