Ipma Pt

Quality – / 100not scored

Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.

Tool list unknown · tools last changed 2026-10-07 · checked 2026-10-20 11:08 UTC

Tool changes

• 2026-10-07ipma_locationsremoved

  List the Portuguese cities and islands IPMA publishes weather forecasts for — district capitals plus Madeira and Azores islands — with their globalIdLocal codes and coordinates region. Filter by name. Example: ipma_locations({ query: "faro" })

• 2026-10-07ipma_seismicremoved

  Portugal earthquakes — recent seismic events recorded by IPMA for mainland Portugal + Madeira or for the Azores archipelago. Returns time, magnitude, depth, epicenter region, coordinates, and felt intensity when reported. Covers roughly the last 30 days. Example: ipma_seismic({ area: "azores", min_magnitude: 2 })

• 2026-10-07ipma_sea_forecastremoved

  Sea state forecast for the Portuguese coast from IPMA oceanography — significant wave height (m), wave period (s), wave direction, and sea surface temperature (°C) for 12 coastal zones on the mainland, Madeira, and Azores. Good for surf, sailing, and beach conditions. Example: ipma_sea_forecast({ city: "Sagres" })

• 2026-10-07ipma_uv_forecastremoved

  UV index forecast for Portugal from IPMA — daily peak-hours ultraviolet index for a Portuguese city (Lisbon, Porto, Algarve, Madeira, Azores) for the next ~3 days, with risk level (Low to Extreme). Example: ipma_uv_forecast({ city: "Faro" })

• 2026-10-07ipma_forecastremoved

  Portugal weather forecast — official IPMA 5-day forecast for a Portuguese city: Lisbon, Porto, Faro, the Algarve, Madeira (Funchal), Azores (Ponta Delgada). Returns daily min/max temperature (°C), precipitation probability, weather description in English, and wind direction/strength. Example: ipma_forecast({ city: "Lisboa" })

• 2026-10-07forgetremoved

  Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.

• 2026-10-07recallremoved

  Retrieve a value previously saved via remember, or list all saved keys (omit the key argument). Use to look up context the agent stored earlier — the user's target ticker, an address, prior research notes — without re-deriving it from scratch. Scoped to your identifier (anonymous IP, BYO key hash, or account ID). Pair with remember to save, forget to delete.

• 2026-10-07rememberremoved

  Save data the agent will need to reuse later — across this conversation or across sessions. Use when you discover something worth carrying forward (a resolved ticker, a target address, a user preference, a research subject) so you don't have to look it up again. Stored as a key-value pair scoped by your identifier. Authenticated users get persistent memory; anonymous sessions retain memory for 24 hours. Pair with recall to retrieve later, forget to delete.

• 2026-10-07pipeworx_feedbackremoved

  Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). ONLY for tools served by this Pipeworx connection — if the tool came from a different MCP server in your client (another vendor's Gmail, Splunk, Slack, etc. connector), we cannot fix it and reporting it here only delays you; file it with that server instead. Not sure? Pipeworx tool names are the ones this connection lists. Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. Filing without an account returns a `claim_token`; pass it back later as pipeworx_feedback({claim_token:"pwfb_…"}) to read whether it was fixed and what changed. The team reads digests daily and signal directly affects roadmap. Rate-limited to 5 per identifier per day. Free; doesn't count against your tool-call quota.

• 2026-10-07scan_competitor_ai_presenceremoved

  Compare AI visibility across multiple entities side-by-side. Probes each entity (your brand + N competitors) with ai_visibility_check, ranks by score, surfaces which is most/least recognized. Useful for competitive AI-marketing audits: "does Claude know about us as well as our competitors?". Returns ranked list with score, confidence, signal density per entity.

Showing the latest 10. Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.