veda-mcp-app
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@veda-mcp-appList the available STAC collections"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
veda-mcp-app
MCP App (Apps SDK) for a VEDA STAC catalog: an MCP server that registers tools linked to an interactive single-file React UI resource, rendered in a host like Claude Desktop.
Searches the live VEDA STAC API (https://dev.openveda.cloud/api/stac, override
with VEDA_STAC_ROOT) and renders results with @teamimpact/veda-ui-blocks.
The flow is chat-first: each tool has its own step view (separate single-file
bundle + resource, CSP scoped per view) rendered inline in the conversation,
and interactions advance the chat — clicking "Pick this dataset" on a
collection card sends "I picked the dataset ... (id: ...)" into the chat
(app.sendMessage) so the model drives the next step (date range, then the
map). Views: collection picker (STAC-Browser-style CardDetailed tiles with
cover thumbnail, temporal coverage tag, truncated description), items
(CardDetailed with raster preview thumbnails), map (StacSingleLayerMap,
MapLibre, Carto dark basemap).
Tools
search_collections(query?, limit?)— search/list VEDA collections (datasets); optional case-insensitive substring query. Renders the picker; clicking a card announces the pick in the chat.list_items(collectionId, limit?, bbox?, datetime?)— list items (dated scenes) in a collection, each with a raster preview and a COG asset.show_map(collectionId, datetime)— interactive single-layer raster map of a collection over a date range (YYYY-MM-DDorYYYY-MM-DD/YYYY-MM-DD, clamped to the collection's temporal extent). The EIE-style happy path: the host resolves "NO2" to a collection viasearch_collections, then calls this. Collections whoserendersmetadata can't tile (stale asset names, object-valued params) are rejected with a corrective error.compare_map(leftCollectionId, leftDatetime, rightCollectionId, rightDatetime)— swipe-compare of two raster layers. SamecollectionIdwith two date ranges = before/after (e.g. NO2 2019 vs 2021); two differentcollectionIds = cross-dataset. Reuses the map view; a non-mappable side returns a corrective error naming that side only.run_demo()— happy path: map ofno2-monthly-diff(Nitrogen Dioxide difference) for 2020-2021. Ask the host to "run a demo of the VEDA MCP app".
Related MCP server: spacetrack-mcp
Quick start
npm install # auto-builds dist/ (prepare script)
npm run setup:claude # register with Claude Desktop + Claude CodeRestart Claude Desktop (Claude Code picks it up on next launch), then ask it to
"run a demo of the VEDA MCP app". Rebuild with npm run build after code changes.
Scripts
npm run setup:claude— register the server with local Claude hosts (absolute paths, idempotent). Flags:--print,--remove,--desktop-only,--code-only. Re-run after switching node versions.npm test— run unit tests (vitest).npm run build— typecheck + build UI + compile server todist/.npm start— run over HTTP (http://localhost:3001/mcp) for manual testing.npm run serve:stdio/npm run dev— stdio from source / watch mode.
UI preview harness
preview.html renders the step views (map with live tiles, picker, items)
with fixture data outside the MCP host, for inspecting layout in a plain
browser. INPUT=map.html selects the un-stubbed (map-capable) alias set:
INPUT=map.html npx vite --port 3006
# open http://localhost:3006/preview.htmlThis server cannot be installed
Maintenance
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