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260,585 tools. Last updated 2026-07-05 07:35

"A server for creating JIRA tickets" matching MCP tools:

  • Create a local container snapshot (async). Runs in background — returns immediately with status "creating". Poll list_snapshots() to check when status becomes "completed" or "failed". Available for VPS, dedicated, and cloud plans (any plan with max_snapshots > 0). Local snapshots are stored on the host disk and count against disk quota. Requires: API key with write scope. Args: slug: Site identifier description: Optional description (max 200 chars) Returns: {"id": "uuid", "name": "snap-...", "status": "creating", "storage_type": "local", "message": "Snapshot started. Poll list_snapshots() to check status."} Errors: VALIDATION_ERROR: Max snapshots reached or insufficient disk quota
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  • Create a B2 cloud-backed snapshot (zero local disk, async). Streams container data directly to Backblaze B2 via restic. No local disk impact — billed separately at cost+5%. Runs in background — returns immediately with status "creating". Poll list_snapshots() to check when status becomes "completed". Only available for VPS plans. Requires: API key with write scope. Args: slug: Site identifier description: Optional description (max 200 chars) Returns: {"id": "uuid", "name": "...", "status": "creating", "storage_type": "b2", "message": "B2 cloud snapshot started. Poll list_snapshots()..."} Errors: VALIDATION_ERROR: Not a VPS plan or max snapshots reached
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  • Return the description and install snippets for a named tool or server. For tools: the description and the server it belongs to. For servers: local (stdio, via npx) install snippets for every published server, plus remote (HTTP) connection snippets when a hosted endpoint exists — for every supported client, or one client via the client parameter. Call cyanheads_search first to find valid names.
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  • Permanently delete an open support ticket. Use fetch_open_tickets first to get the case_id. WARNING: This action cannot be undone. Only open tickets can be deleted. # delete_ticket ## When to use Permanently delete an open support ticket. Use fetch_open_tickets first to get the case_id. WARNING: This action cannot be undone. Only open tickets can be deleted. ## Parameters to validate before calling - case_id (string, required) — The case number of the ticket to delete ## Notes - DESTRUCTIVE — IRREVERSIBLE. Always confirm with the user before calling. Explain what will be lost.
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  • Connectivity check that confirms the Nordic MCP server process is responding. Use this at the start of a session to verify the server is reachable before making other calls. Do not use as a proxy for database health — the server can respond while the Qdrant vector database is temporarily unavailable. To confirm data availability, call search_filings directly. Returns: A greeting string: "Hello {name}! Nordic MCP server is running."
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  • Discovery search across PriceTik surfaces. Map the intent to the right tool: for a SPECIFIC isolated intent, prefer the dedicated tool — `pricetik_hotel_search` for hotels, `pricetik_activity_search` for activities/tickets — which return richer, date-accurate results in their own widget. Reach for `pricetik_search` when the intent is exploratory or you do not yet know the surface. `surface=shopping` returns retail deals; `surface=hotels` resolves the query as a destination + returns top hotel matches with their PriceTik UUIDs; `surface=events` returns real bookable activities for the matched destination. `surface=all` is a DISCOVERY FALLBACK that returns results GROUPED BY SURFACE (relevance-gated, each surface in its own labeled section) — it does NOT round-robin interleave verticals. The default `surface` is scope-aware (it follows the active vertical selection), not a fixed `shopping`. For a multi-surface trip ("a hotel AND a show"), do NOT use `surface=all` to commingle — instead fire parallel dedicated calls (`pricetik_hotel_search` + `pricetik_activity_search`, each rendering its own widget), or use `pricetik_trip_plan` (with includeTickets=true when the "show" is a ticketed live event) / `pricetik_compare_destinations` for a true single-response stitch. The events surface returns bookable activities/attractions PLUS a separate labeled "Event tickets" section when live-event tickets (concerts, sports, theater) match — ticket rows carry city, eventDate, and a pricetik_ticket_details drill-in; for ticket-specific filtering (city + date window) call pricetik_ticket_search directly. Each result carries a `drillDownTool` field telling the agent which tool to call next, and shopping rows also carry a `watchTool` (`pricetik_set_target_price`) for "let me know when this drops" requests. For "best deals right now" with no product in mind, use pricetik_trending_deals; for deals ranked to the user's stated interests, use pricetik_deals_for_you.
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Matching MCP Servers

Matching MCP Connectors

  • Discover today's best deals ranked 0–100 — answer "what are the best deals right now?" without a specific product, ACROSS EVERY VERTICAL. `surface` selects the inventory: shopping (default — retail deals by stored deal score), hotels (biggest 7-day nightly-rate drops), events (activity rate drops), tickets (live-event tickets priced below their 30-day median, with a reasons[] breakdown), or all (one response grouped into labeled per-surface sections — hotels, things to do, event tickets, shopping). Rows carry a drillDownTool for the next call (hotel_details / activity_details / ticket_details / price_check). Optional `category` filter (shopping only) and `minDealScore` (shopping defaults to 60; other surfaces filter only when provided). URLs are pricetik.com/go/ affiliate redirects — pass them to the user's browser unchanged, do not fetch them server-side. No API key required. For a specific query use pricetik_search; for deals ranked to the user's stated interests use pricetik_deals_for_you.
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  • Switch between local and remote DanNet servers on the fly. This tool allows you to change the DanNet server endpoint during runtime without restarting the MCP server. Useful for switching between development (local) and production (remote) servers. Args: server: Server to switch to. Options: - "local": Use localhost:3456 (development server) - "remote": Use wordnet.dk (production server) - Custom URL: Any valid URL starting with http:// or https:// Returns: Dict with status information: - status: "success" or "error" - message: Description of the operation - previous_url: The URL that was previously active - current_url: The URL that is now active Example: # Switch to local development server result = switch_dannet_server("local") # Switch to production server result = switch_dannet_server("remote") # Switch to custom server result = switch_dannet_server("https://my-custom-dannet.example.com")
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  • ⚠️ MANDATORY FIRST STEP - Call this tool BEFORE using any other Canvs tools! Returns comprehensive instructions for creating whiteboards: tool selection strategy, iterative workflow, and examples. Following these instructions ensures correct diagrams.
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  • Run a natural-language analytics question against your connected data sources. Consumes AI credits. Returns either the completed analysis result inline OR a job_id you can poll with get_analysis_status. If list_data_sources returns an empty list, ingest data first with upload_data_source (inline base64), ingest_url_data_source (public URL), or request_oauth_integration_url (Google / Meta / Jira / Confluence).
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  • Read-only: list support tickets in the caller's tenant, sorted by most recent message first. Reach for this to discover ticket ids, triage the queue, or poll for activity before acting on a specific ticket; results can be narrowed by status, priority, assignee, and an updated-since timestamp, and capped via limit (max 50, default 20). Returns lightweight ticket summaries (id, subject, status, priority, lastMessageAt, customer, assignee, tenant) plus the total match count — it never creates or modifies anything. [free]
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  • Best price (and markdown schedule) to clear a FIXED stock by a DEADLINE, in plain dollars. USE THIS WHEN: you must sell a fixed number of units before a cutoff and demand arrives over time — event tickets, perishable inventory, end-of-life stock. NOT for 1:1 haggling (gt_negotiate_turn) or auctions (gt_auction_*). Provide: inventory (units to sell); horizon_seconds (selling window in SECONDS — 14 days = 14*24*3600 = 1209600); arrival_rate_per_second (expected shoppers per second = expected total shoppers / horizon_seconds); and buyer_arrival_prior — a rough model of willingness-to-pay, e.g. {"family":"uniform","params":{"low":40,"high":150}}. Returns {static_price (one good fixed price), static_expected_revenue, dynamic_schedule (list of {t_seconds, recommended_price} markdown waypoints), sellthrough_rate, rationale} — all prices in the SAME $ as your prior. Example: 200 tickets, 14-day window, ~600 shoppers willing to pay $40-$150 -> gt_mechanism_posted_price_optimal(inventory=200, horizon_seconds=1209600, arrival_rate_per_second=600/1209600, buyer_arrival_prior={"family":"uniform","params":{"low":40,"high":150}}) -> static_price ~$112, schedule marks down $114 -> ~$76 as the deadline nears.
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  • Get pre-built graph template schemas for common use cases. ⭐ USE THIS FIRST when creating a new graph project! Templates show the CORRECT graph schema format with: proper node definitions (description, flat_labels, schema with flat field definitions), relationship configurations (from, to, cardinality, data_schema), and hierarchical entity nesting. Available templates: Social Network (users, posts, follows), Knowledge Graph (topics, articles, authors), Product Catalog (products, categories, suppliers). You can use these templates directly with create_graph_project or modify them for your needs. TIP: Study these templates to understand the correct graph schema format before creating custom schemas.
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  • Returns a curated list of example plans with download links for reports and zip bundles. Use this to preview what PlanExe output looks like before creating your own plan. Especially useful when the user asks what the output looks like before committing to a plan. No API key required.
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  • Load Lenny Zeltser's product strategy context for local analysis. Returns expert strategic frameworks, principles, and guidance for evaluating or creating security product plans. Includes rating-sheet items (the lens taxonomy: structure, words, tone) as concrete reference points for grounded feedback on the plan's writing. This server never requests your plans and instructs your AI to keep them local. Use detail_level to control response size: "minimal" (~2k tokens), "standard" (~5k tokens), "compact" (~3-4k tokens, all sections but stripped), or "comprehensive" (~12k tokens). Use market_segment: "smb" for SMB-specific guidance. Use product_focus: "endpoint" for endpoint security viability assessment. Set include_template: true to include the fill-in-the-blank template in the response.
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  • Get Lenny Zeltser's Malware cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `malware_load_context`. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.
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  • Get Lenny Zeltser's Security Assessment cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `assessment_load_context`. This server never requests your assessment notes or report and instructs your AI to keep them local—the templates and guidelines flow to your AI for local analysis.
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  • Create a household-specific transaction category. Check list_transaction_categories first — avoid creating duplicates of existing ones. The slug is normalized to lowercase and permanent; only display metadata can be edited later. Use archive_transaction_category to retire a category, which frees the slug for reuse.
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  • Return a single recommended VPS provider for users who do not yet have a server. Call this ONLY when the user explicitly says they have no server. The user buys the VPS at this provider and comes back with IP + password.
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