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vgeorge

veda-mcp-app

by vgeorge
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veda-mcp-app

MCP App for the VEDA STAC catalog: tools that render interactive widgets (collection picker, raster map) inline in Claude or ChatGPT.

Tools

  • search_collections(query?, limit?) — search/list collections; renders the picker, clicking a card announces the pick in the chat.

  • show_map(collectionId, datetime) — single-layer raster map over a date range (YYYY-MM-DD or YYYY-MM-DD/YYYY-MM-DD, clamped to the collection's temporal extent). Non-mappable collections are rejected with a corrective error.

  • compare_map(leftCollectionId, leftDatetime, rightCollectionId, rightDatetime) — swipe-compare; same collection twice = before/after.

  • run_demo() — map of no2-monthly-diff for 2020-2021. Ask the host to "run a demo of the VEDA MCP app".

Quick start

npm install          # auto-builds dist/ (prepare script)
npm run setup:claude # register with Claude Desktop + Claude Code

Restart Claude Desktop, then ask it to "run a demo of the VEDA MCP app".

Local development

Prerequisites: Node 22. No credentials — the server reads the public VEDA catalog (https://dev.openveda.cloud/api/stac, override with VEDA_STAC_ROOT).

npm start            # build + serve over HTTP (http://localhost:3001/mcp)
npm run serve:stdio  # stdio from source (Claude Desktop / Claude Code)
npm run dev          # watch UI bundles + restart server on change
npm test             # unit tests (vitest)
npm run build        # typecheck + UI bundles + server -> dist/

To run the compiled output exactly as production does: npm run build, then npm run start:prod.

To verify the widgets end-to-end without Claude, use basic-host (the reference host in the ext-apps repo, examples/basic-host): it expects this server at http://localhost:3001/mcp and renders the widgets in a sandboxed iframe with debug panels.

Deployment (Heroku)

HTTP-first: POST /mcp (Streamable HTTP, stateless) + GET /health. Needs a long-lived process — not serverless. Procfile runs npm run start:prod; engines.node: 22.x pins the runtime.

heroku create <app-name>
heroku config:set MCP_PATH_TOKEN=$(openssl rand -hex 16)
git push heroku main

Use a Basic dyno (Eco dynos sleep; a cold start mid-demo takes ~10-30 s).

Env vars (all optional):

  • MCP_PATH_TOKEN — shared-secret path segment: endpoint moves to /mcp/<token>, bare /mcp 404s. Letters/digits/-/_ only. Recommended for any public deploy.

  • VEDA_STAC_ROOT / VEDA_RASTER_ROOT — catalog/titiler roots.

Verify: curl https://<app-name>.herokuapp.com/health → {"status":"ok","transport":"http"}. The connector URL is https://<app-name>.herokuapp.com/mcp/<token>.

Connecting

  • claude.ai / Claude Desktop: Settings → Connectors → Add custom connector → paste the connector URL. No auth (the token in the URL is the gate). Widgets render inline.

  • Claude Code: claude mcp add --transport http veda https://<app-name>.herokuapp.com/mcp/<token>

  • ChatGPT: Settings → Connectors → Create new connector → MCP server URL = the connector URL, auth: none.

Troubleshooting

  • 502 after deploy — heroku logs --tail; if the VEDA MCP App (HTTP transport) banner is absent, the process crashed at boot (config validation errors print the reason).

  • 404 on /mcp — expected when MCP_PATH_TOKEN is set; use /mcp/<token>.

  • First request hangs ~30 s — Eco dyno waking. Upgrade to Basic.

  • HTTPS required — Claude and ChatGPT only connect to https:// endpoints.

  • Tool answers "cannot be mapped" / "unknown collection" — corrective by design; the model retries with a valid collection.

Scripts

  • npm run setup:claude — register with local Claude hosts (idempotent). Flags: --print, --remove, --desktop-only, --code-only.

  • npm test / npm run build / npm start / npm run dev — see above.