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298,669 tools. Last updated 2026-07-14 16:18

"A tool for managing schedules and events" matching MCP tools:

  • What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.
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  • What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.
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  • What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.
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  • When to use: Build a tabular, spreadsheet-style schedule (rows = elements matching a keyword, columns = up to 15 shared parameters) from a translated Revit model — useful for Door Schedules, Wall Schedules, Room Schedules, and QA/QC exports. When NOT to use: Do not use when you only need raw element metadata (use revit_get_elements) or parameter schema (use revit_get_parameters). APS scopes: data:read viewables:read (Model Derivative metadata + properties). Rate limits: APS default ~50 req/min per app per endpoint; Model Derivative translation jobs ~60 req/min; OSS uploads size-limited per file to 100MB for direct upload, larger via resumable. Errors: 401 APS token expired — refresh. 403 scope insufficient — add viewables:read. 404 URN not found — check model_id. 429 rate limited — back off. 5xx APS upstream — retry with jitter. Side effects: Read-only. Idempotent.
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  • Use only after explicit user confirmation and a prior prepare_publish result to publish or schedule a Dreamlit workflow. Side effect: installs live database/repeating/auth triggers, schedules or sends broadcasts, and may enable notification delivery; sandbox mode can hold notifications for inspection. Returns the published workflow status and app URLs. Do not call speculatively or without carrying forward the prepare_publish safety fields.
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  • USE THIS TOOL WHEN you have a known Act / SI and want the structural table of contents (parts, chapters, sections, schedules). Returns structural elements with XML id and title, e.g. 'section-47: Definitions'. AFTER calling, pass the numeric section identifier (use '47', NOT 'section-47') into legislation_get_section for full text. Large statutes (Companies Act 2006 has many hundreds of items) are paginated via offset/limit. Check has_more and total_items. Alternative: call read_resource(uri="legislation://{type}/{year}/{number}/ toc") for the full TOC as a newline-separated `id: title` string (no pagination). Use this tool when you need the structured response with offset / limit / has_more for stepping through large statutes.
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  • Search events, conference weeks, cities, venues and artist schedules via remote MCP.

  • Compare ocean carrier sailing schedules, transit times, and on-time reliability before you book.

  • What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.
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  • What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.
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  • What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.
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  • What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.
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  • EU-wide public intercity transit router. Accepts PLACE NAMES (not coordinates). Returns multi-leg itineraries via Transitous. CRITICAL FOR AGENTS: - This tool handles geocoding internally. Do NOT pre-geocode or look up coordinates. - Do NOT call this tool multiple times with different spellings. Call it ONCE. - If a location isn't found, present the error message and STOP. TEMPORAL HANDLING: This tool returns live real-time schedules only (no date parameter). If user asks for 'tomorrow' or a future date, pass it as --requested-date. The tool will add an explanatory note about schedule patterns. EXAMPLES: - --from "Ljubljana, Slovenia" --to "Maribor, Slovenia" - --from "Podbrdo" --to "Nova Gorica" --requested-date "2026-06-05" --limit 3 - --from "Bled" --to "Trieste, Italy" --modes "BUS WALK" FAILURE MODES (present directly to user, do not retry): - LOCATION_NOT_FOUND → Check spelling - NO_ROUTES_FOUND → Try different modes or check locations are in Europe - ROUTING_FAILURE → Upstream API error, try again later
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  • Get current statistics for the ShippingRates shipping intelligence database. Use this as a starting point to understand what data is available before calling other tools. Returns record counts for D&D tariffs, local charges, transit schedules, freight rates, surcharges, ports, shipping lines, countries, and the last data refresh timestamp. FREE — no payment required. Returns: { tariff_records, ports, transit_schedules, freight_rates, local_charges, shipping_lines, countries, last_scrape (ISO datetime) } Related tools: Use shippingrates_lines for per-carrier breakdowns, shippingrates_search for keyword discovery.
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  • Schedule a snapshot for future execution. Requires: API key with write scope. Max 3 pending schedules per site. Args: slug: Site identifier scheduled_at: ISO 8601 datetime (must be in the future) description: Optional description (max 200 chars) Returns: {"id": "uuid", "scheduled_at": "iso8601", "status": "scheduled"} Errors: VALIDATION_ERROR: Invalid datetime, not in future, or too many pending
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  • Retrieves the latest real-time news headlines and article summaries from BBC News and The Guardian across nine topic categories. Returns structured articles with headline, description, source name, article URL, and publication date — sorted most recent first. No API key required. Use this tool when an agent needs current news about a specific topic, wants to summarise today's headlines, needs to research recent events, monitor a subject area for new developments, or build a news briefing. Do not use this tool to read the full content of a specific article — use web_url_reader instead, passing the article URL returned by this tool. Do not use when news from sources outside BBC News and The Guardian is required.
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  • Retrieves the latest real-time news headlines and article summaries from BBC News and The Guardian across nine topic categories. Returns structured articles with headline, description, source name, article URL, and publication date — sorted most recent first. No API key required. Use this tool when an agent needs current news about a specific topic, wants to summarise today's headlines, needs to research recent events, monitor a subject area for new developments, or build a news briefing. Do not use this tool to read the full content of a specific article — use web_url_reader instead, passing the article URL returned by this tool. Do not use when news from sources outside BBC News and The Guardian is required.
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  • What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.
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  • What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.
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  • What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.
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  • What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.
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  • What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.
    Connector