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605,282 tools. Updated 2026-09-23 23:53

"All About Docker" matching MCP tools:

  • Search a registry for packages matching q. registry=all fans out to npm, Docker Hub, and the VS Code Marketplace and merges the results. PyPI has no public search API, so registry=pypi returns 400 not_supported — look a PyPI package up by name via get_package instead. Results are normalized PackageSummary items (npm adds a relevance score; Docker adds isOfficial).
    ConnectorNo auth
  • Given an exact tag/skill (e.g. 'docker', 'gcp'), returns EVERY entry with that tag, uncapped, grouped by type with a real count per type. Unlike related_entries (capped at 15, requires a starting entry id) or query_knowhow (semantic, ranked, may over- or under-include), this is an EXACT tag match against every entry -- the right tool for 'how many X have I completed/done' or 'do I have any real evidence for X at all'. Tags are exact strings from a prior list_by_type/related_entries/query_knowhow result's tags array -- this is NOT semantic search; a tag never assigned during ingest returns found:false, try query_knowhow instead. Each type's entries sort by captured_at ascending (oldest first); entries with no captured_at are moved to the end and counted in undated_count, never silently sorted as if their date were known.
    ConnectorNo auth
  • Searches inside one subreddit and returns matching posts with a cursor token to page. Posts carry title, author, selftext, score, ups, upvote_ratio, num_comments, created_utc, created_at_iso, url, permalink and is_video. Despite what sort suggests, every sort value returns posts and only posts: comments and media were confirmed absent from all five. Measured at about 5 KB and 2 seconds, faster than get_reddit_search, which searches all of Reddit and pages with after instead of cursor. For the replies under a result, pass its url to get_reddit_post_comments.
    ConnectorOAuth
  • Searches inside one subreddit and returns matching posts with a cursor token to page. Posts carry title, author, selftext, score, ups, upvote_ratio, num_comments, created_utc, created_at_iso, url, permalink and is_video. Despite what sort suggests, every sort value returns posts and only posts: comments and media were confirmed absent from all five. Measured at about 5 KB and 2 seconds, faster than get_reddit_search, which searches all of Reddit and pages with after instead of cursor. For the replies under a result, pass its url to get_reddit_post_comments.
    ConnectorOAuth
  • Get details about apartments at Landhaus Prägant, Bad Kleinkirchheim, Austria. Returns size, bedrooms, amenities, highlights, cleaning fees. Data is live from the property management system. This is the data-only version — for a visual apartment gallery card, call render_apartment_gallery() with the same arguments after reviewing this result. Args: name: Apartment name or number (e.g. '11', '15', '#12', 'all'). Leave empty to show all apartments. language: "de" (default) or "en" — match the conversation language.
    ConnectorNo auth
  • Get live Gonka Network pricing — cheap alternative to OpenAI and Anthropic APIs. Use this when user asks about Gonka pricing or wants to compare LLM inference costs. Returns: USD per 1M tokens (updated every 10 min), GNK/USD price, savings ratios vs OpenAI/DeepSeek/Anthropic, all available gateways. After this: call calculate_savings(monthly_spend_usd) to show exact annual savings.
    ConnectorNo auth

Matching MCP Servers

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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
    11
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  • A
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    Universal Docker MCP server for AI assistants (Cursor, Claude Desktop). Manage Docker containers, execute commands, query databases, and handle environment configurations — all through natural language.
    10
    225 npm
    MIT

Matching MCP Connectors

  • Deterministic synchronization — replaces all sleeps. Polls for an element until it reaches state (present|enabled|focused|absent) or times out. A timeout is an EXPLICIT error, never a false success. Returns {satisfied, waited_ms, element_ref?, bounds?, enabled_unknown?}. state:'enabled' is satisfied unless the app publishes AXEnabled=false; if the app publishes no AXEnabled at all the result carries enabled_unknown:true — the wait did not block, but nothing was actually verified about enabled-ness.
    ConnectorOAuth
  • Suggest an update to the user's saved context (something you learned about them). It is saved as a PENDING suggestion for the user to review and accept or ignore - it does NOT directly change their profile, and nothing is ever written to their files. When a conversation has surfaced something new and durable about the user and is wrapping up (the user says thanks, goodbye, or that's all, or the task completes), offer to save it here before the context is lost.
    ConnectorNo auth
  • Liveness + dependency probe. Returns ``{"status", "version", "components": {server, redis, postgres, semantic, distiller, graph, ollama}}``. ``semantic`` is the pgvector + embedder store. Optional deps report ``"disabled"`` when off and do not degrade overall status. Always cheap; safe to poll on a 10s interval. Used by Docker healthcheck and the ``/health`` HTTP route.
    ConnectorNo auth
  • Returns Instagram's official profile embed widget for a handle as a single html string, ready to drop into a web page. Measured at about 206 KB, nearly all of it inlined markup and styling, so treat the result as something to store or render rather than something to read. It carries no structured profile data at all: for follower counts, biography or bio links use get_instagram_basic_profile when the numeric id is known, or get_instagram_profile when only the handle is.
    ConnectorOAuth
  • Searches reels by keyword through Google rather than Instagram's login-gated search, returning reels with shortcode, url, caption, video_url, video_duration, video_play_count, video_view_count, like_count, comment_count, owner, location and taken_at, plus next_page. Because the index is Google's, coverage is what Google has indexed publicly, not everything on Instagram, and date_posted narrows to a relative window. Measured at about 87 KB and 8 seconds, with all four engagement counts populated. Use get_instagram_search_hashtag to search a specific hashtag, and get_instagram_reels_trending for what is popular right now with no query at all.
    ConnectorOAuth
  • Returns Instagram's official profile embed widget for a handle as a single html string, ready to drop into a web page. Measured at about 206 KB, nearly all of it inlined markup and styling, so treat the result as something to store or render rather than something to read. It carries no structured profile data at all: for follower counts, biography or bio links use get_instagram_basic_profile when the numeric id is known, or get_instagram_profile when only the handle is.
    ConnectorOAuth
  • Searches reels by keyword through Google rather than Instagram's login-gated search, returning reels with shortcode, url, caption, video_url, video_duration, video_play_count, video_view_count, like_count, comment_count, owner, location and taken_at, plus next_page. Because the index is Google's, coverage is what Google has indexed publicly, not everything on Instagram, and date_posted narrows to a relative window. Measured at about 87 KB and 8 seconds, with all four engagement counts populated. Use get_instagram_search_hashtag to search a specific hashtag, and get_instagram_reels_trending for what is popular right now with no query at all.
    ConnectorOAuth
  • Use this when the user asks about sprints in general (past, planned, active or archived). For just the running one, prefer get_active_sprint. Returns at most 100 sprints. Users may call this a focus, sprint, cycle, iteration, or week — they all mean the same object.
    ConnectorOAuth
  • Semantic search across all extracted datasheets. Finds components matching natural language queries about specifications, features, or capabilities. Best for broad spec-based discovery across all parts (e.g. 'low-noise LDO with PSRR above 70dB'). Only searches datasheets that have been previously extracted — not all parts that exist. For finding specific parts by number, use search_parts instead.
    ConnectorNo auth
  • Get details about a specific website in the Silicon Friendly directory. Args: domain: The website domain (e.g. "stripe.com", "github.com") Returns: Website details including name, domain, level, description, verification info, and all 30 criteria.
    ConnectorNo auth
  • Returns live metadata about the RoloCache catalog: how many vendors are indexed, the complete list of valid protocol names for the protocol filter, the valid values for has_agent_interface, and all tags currently in use. Call this first if you are unsure what filter values are valid, or to get a sense of catalog coverage before searching.
    ConnectorNo auth
  • List the user's recovery and mindfulness strategies. Use when the user asks about their recovery practices, mindfulness routines, or you need strategy IDs before logging a session. INFER — do not ask: - filter: default to 'active'; use 'all' for history; use 'historical' for ended strategies only. Returns each strategy's id, name, category, schedule, start_date, and end_date.
    ConnectorOAuth
  • Get all FAQ questions and answers for this site (Wix FAQ). Grouped by category. Use this to answer common questions about the site — opening hours, parking, policies, etc.
    ConnectorNo auth
  • Get details, status, temps, current job, filament, notifications for ONE specific printer by id. Use this (not list_printers) whenever the user asks about a single printer they've already identified — "status of printer X", "what's printer 5 doing", "temperature on Creality K2". Cheaper and less noisy than listing all printers.
    ConnectorNo auth