Knmi

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 2026-09-30 · checked 2026-10-19 20:06 UTC

Tool changes

• 2026-09-30knmi_file_urlremoved

  Mint a temporary download URL for one file in a KNMI Data Platform dataset. Returns the signed URL, the content type, the byte size and when the file was last modified. The URL is short-lived and must be used promptly. Pass a filename from knmi_dataset_files, e.g. dataset "radar_reflectivity_composites" version "2.0" filename "RAD_NL25_PCP_NA_202609172205.h5". Note the files are scientific binaries (NetCDF, HDF5, GRIB in tar) — this hands back a link to fetch, it does not decode them.

• 2026-09-30knmi_dataset_filesremoved

  List the files in one KNMI Data Platform dataset, newest first by default. Returns filename, size in bytes, creation and last-modified timestamps, plus a page token. This is how you find the most recent radar composite, observation file or model run before downloading it. Get dataset and version from knmi_datasets, e.g. dataset "10-minute-in-situ-meteorological-observations" version "1.0", or dataset "radar_reflectivity_composites" version "2.0".

• 2026-09-30knmi_datasetsremoved

  The KNMI Data Platform datasets worth calling, with what each one contains, how often it updates and its file format — and, checked live, the timestamp of its newest file. AUTHORITATIVE starting point for Dutch weather and climate data: KNMI is the Netherlands national weather service. Use this to find the exact dataset name and version string that knmi_dataset_files needs, because those names are opaque (e.g. "Tg1", "EV24", "harmonie_arome_cy43_p1") and the Open Data API has no listing endpoint of its own. Search for "radar", "observations", "forecast", "precipitation", "temperature", "evaporation".

• 2026-09-30forgetremoved

  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.

• 2026-09-30recallremoved

  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.

• 2026-09-30rememberremoved

  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.

• 2026-09-30pipeworx_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.

• 2026-09-30scan_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.

• 2026-09-30ai_visibility_checkremoved

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

• 2026-09-30generate_llms_txtremoved

  Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output is a single text blob ready to drop at site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.

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