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741,501 tools. Updated 2026-11-04 04:18

"A search for similar notes" matching MCP tools:

  • Revert a note's body to an earlier revision (find the seq via notes-history). This does NOT erase history — it appends a NEW revision whose body equals the chosen earlier one, attributed to you, so the revert can itself be undone. Use only when the user explicitly asks to undo a change. Optional expected_lock_version (from notes-get) rejects the revert if the note changed since you read it, instead of clobbering that change. Required: id (integer), seq (integer).
    Connector
    Destructive
    OAuth
  • Search the cocktail catalogue by name (substring, case- and diacritic-insensitive, so "carre" matches "Carré"). Returns up to 25 summary results — name, page URL, family, glassware — ranked exact match first, then prefix, then suffix, then any substring. Use this when the user names a drink (even fuzzily) and you want to confirm it exists or disambiguate similar names; once you have a single name, call get_cocktail_recipe for the full recipe. For ingredient-based discovery use find_cocktails_by_ingredient instead.
    ConnectorNo auth
  • Search the user's files by filename and return matching documents in the deep-research result shape. ALIAS: this is the SAME search as search_files (same data, same permissions) - use it when your client requires the id/title/url search contract (ChatGPT deep research); otherwise prefer search_files for richer file metadata. Each result's id can be passed to fetch (or get_file) to read that document. Read-only; nothing is written, so it is safe to call.
    ConnectorNo auth
  • Search JobYap job postings by natural-language query. Matches job titles, falling back to significant keywords when the full phrase finds little. Returns result ids, titles and citable URLs for use with fetch. For structured filtering (location, company, remote, freshness) prefer search_jobs.
    ConnectorNo auth
  • The unified search over business data — combine free text and/or an amount range in one call. Set 'kind' to: all, expenses, income, transactions, clients, suppliers, products, or invoices (use 'all' to search the whole business). Set 'query' for text search (case-insensitive substring match across names, descriptions, notes, references, supplier/client names, categories) and/or 'min'/'max' for an amount range on the kind's primary amount field — both are optional, so omit the amount range for a pure text search (e.g. over clients or suppliers) or omit 'query' for a pure amount search. Optionally filter by date range with 'from' and 'to' in YYYY-MM-DD format. Set 'sort' to 'amount' (default — descending by amount) or 'date' (descending by date; best for clients/suppliers, which have no amount, or when recency matters more than size). Returns ALL matches, paginated — use limit/cursor to page through the full result set; narrow query/range/date if there are more than you need.
    ConnectorOAuth
  • Use this when the user asks what Alicia or digitalgarden.si has written about a subject (for example Houdini, Three.js, WebGPU, glTF/USD, Gaussian splats, AI coding agents, or the garden itself). Ranks published notes by keyword match on title, topics, summary and full text, in English and Chinese, and returns short cards (no full text). Follow up with get_article to read one. Do not use it for general web search, news, or topics unrelated to Alicia's published notes. An empty articles array means no published note matches. Scores are relative to this query and catalog, not confidence percentages; check titles and read the full note before presenting a match as relevant. Every result includes canonicalUrl and author Alicia (Person @id https://digitalgarden.si/#alicia). Cite the canonical URL when quoting. digitalgarden.si is an interactive 3D garden, not a knowledge-base wiki.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    面向 Codex、WorkBuddy 等 AI 工具的知你AI助手合并版 Skills,涵盖当前会话分诊、客户查询与画像、历史会话检索、客户分群和 API Key 用量查询,并连接个微、企微、视频号、微信小程序、公众号、服务号、微信客服、微信小店、抖音号、小红书、微博、网站及H5客服等渠道。
    MIT No Attribution
  • A
    license
    Not graded
    quality
    C
    maintenance
    这是面向智能运维场景的 MCP 工具服务,让 Agent 能够按需检索日志内容并获取主机与应用的监控指标数据。它把实时的日志与指标证据接入 Plan-Execute-Replan 诊断流程,从而支撑自动故障排查与根因分析。
    3
    MIT

Matching MCP Connectors

  • Use this when the user asks what Alicia or digitalgarden.si has written about a subject (for example Houdini, Three.js, WebGPU, glTF/USD, Gaussian splats, AI coding agents, or the garden itself). Ranks published notes by keyword match on title, topics, summary and full text, in English and Chinese, and returns short cards (no full text). Follow up with get_article to read one. Do not use it for general web search, news, or topics unrelated to Alicia's published notes. An empty articles array means no published note matches. Scores are relative to this query and catalog, not confidence percentages; check titles and read the full note before presenting a match as relevant. Every result includes canonicalUrl and author Alicia (Person @id https://digitalgarden.si/#alicia). Cite the canonical URL when quoting. digitalgarden.si is an interactive 3D garden, not a knowledge-base wiki.
    ConnectorNo auth
  • List and browse the user's saved notes — their stored knowledge and memories (preferences, workflows, projects, meeting notes, references, and the rest) — with optional filtering, sorting, and pagination. Use search instead when hunting for a topic or keyword; use this to enumerate a folder, tag, or scope. Returns paginated results as a JSON array, followed by a line stating how many notes matched in total and whether more pages remain — read it to know if you have the whole folder before acting on it. Optional: team_id (integer) to list team notes, scope ('active'|'archived'|'inbox'|'favorited'|'trashed'), container_id (integer) with include_nested (boolean), tags (array of strings, AND logic), tag_ids (array of integers, AND logic), summary_stale (boolean, filter to notes with outdated summaries), stale (boolean, filter to notes whose freshness is stale — past their review_after date or unverified for a while), sort ('recent'|'oldest'|'title'), page (integer, default 1), per_page (integer, max 100, default 25), include_body (boolean, default false — include each note's full body, so a scoped/paginated listing can retrieve complete contents without a notes-get call per note; withheld for trashed notes, same as notes-get), include_instructions (boolean, defaults to include_body — include each note's inherited_instructions, the same chain notes-get returns, so a full-body listing also carries the rules governing those notes; withheld for trashed notes). container_id can be combined with team_id to list a specific team container. Example: list ruby-tagged notes in a container: {container_id: 5, tags: ['ruby']}.
    ConnectorOAuth
  • Update a note: edit its content, move it to a different folder (set container_id, or null for the inbox), archive/favorite it, or change its tags. This is the tool for moving notes between folders; there is no separate move tool. Required: id (integer). Optional content (exactly one body-mutation mode at a time): title, body (full replace), append_body (appends to existing body), insert_after + insert_body (insert text immediately after a unique anchor snippet from the existing body), insert_before + insert_body (insert before a unique anchor), replace_find (+ optional replace_with) (replace a unique snippet; omit replace_with entirely to delete the snippet). Markdown-structure ops (heading/section/checklist aware — safer than eyeballing a unique snippet on long notes): replace_section + section_body (replace everything UNDER a heading, keeping the heading line); append_to_section + section_body (add content at the END of a section — the safe 'insert under heading' when you don't know its last line); rename_heading + new_heading (rename a heading in place, preserving its level unless new_heading carries its own '#'); check_item / uncheck_item (tick/untick a checklist item by its text, e.g. '- [ ] ship it'). Headings and checklist items must each match exactly one line. Anchor and find snippets must match exactly once; include enough surrounding context to disambiguate. Also optional: summary, source_url. Freshness: verified (boolean — pass true to mark the note re-confirmed as still true right now; only send this after the user has actually confirmed it), review_after (ISO 8601 datetime to time-box the note, or null to clear it). Organization: container_id (move note), archived (boolean — works on your own personal notes and on team notes where you have the editor role; notes in shared containers are owner-only), favorited (boolean). Tags: tag_list (full replace, comma-separated), add_tags, remove_tags. tag_list takes precedence over add_tags/remove_tags. Concurrent edit safety: pass expected_lock_version (the lock_version you saw when you last read the note via notes-get / notes-list / search) whenever you want a stale-write guard. If it doesn't match the current version, the update is rejected with the current state included so you can re-read and re-apply (append_body-only calls are exempt; see expected_lock_version). Surgical edits (append_body / insert_after / insert_before / replace_find) are anchor-based and so don't *need* expected_lock_version for their body change — but if you also change title / summary / container_id alongside, those fields can still silently overwrite a newer save unless you supply expected_lock_version. Examples: insert under a heading {id: 42, append_to_section: 'Open Questions', section_body: '- Should we ship Friday?'}; replace a section {id: 42, replace_section: '## Status', section_body: 'Shipped 🎉'}; rename a heading {id: 42, rename_heading: 'TODO', new_heading: 'Done'}; tick a checklist item {id: 42, check_item: 'ship it'}; fix a typo {id: 42, replace_find: 'recieved', replace_with: 'received'}; safe full rewrite {id: 42, body: '...', expected_lock_version: 5}. Every edit is recorded as a named, revertable revision attributed to you — use notes-history to see who changed what, and notes-revert to undo a change.
    Connector
    Destructive
    OAuth
  • Given one listing, find comparable ones: same operation and area, similar typology, floor area and price. Use this when the user likes a property but wants alternatives — 'find me something similar', 'the same but cheaper', 'what else is there in this area'. Pass `maxPrice` for the cheaper case; without it, comparables are drawn from a band around the reference price. Comparability is by location, typology, area and price, not by text similarity: it answers 'is this well priced for what it is', which a keyword search cannot.
    ConnectorNo auth
  • MyKIFRS MCP의 get_paragraph 도구는 기준서 문단 전문을 앞뒤 문맥과 함께 반환합니다. [Purpose] - To quote a found 문단 exactly — a search snippet is never quotable evidence. - To check 조건절·예외 with neighbors. [Usage] 1. "1116호 33문단 원문" → unique_key="1116-33" 2. "앞뒤로 더 넓게" → unique_key="1116-33", context=5 [Response] - { standard:{std_num, title, category}, target, related_qnas:[doc_number], items:[…] } - items[]: { seq, item_type, unique_key, para_num, level, title, ref, content_text }; item_type "paragraph"=본문, "title"=제목. - related_qnas → get_qna. - Miss → { error: "문단 없음: {unique_key}", similar:[{unique_key, para_num}] } (≤5). [Rules] - unique_key = "{기준서번호}-{문단번호}"; 문단 numbers aren't digits-only (B58·6.1.1) — pass verbatim, never normalize. - Keys can carry a "-N" suffix ("1109-B2.7" misses, "1109-B2.7-1" hits — 12% of 문단). On a miss retry a `similar` candidate; never read it as "the 문단 does not exist". - context expands within one part — boundaries return fewer items; not an error. - Quote content_text, never a snippet.
    ConnectorNo auth
  • Use this when the member asks what they wrote, saved or noted about something, to find a note, or to see their recent notes. Returns notes from the member's Connections workspace - plain notes, open questions and saved prompts, but never the to-do list (use connections_todo_list for tasks, reminders and follow-ups instead). Each row carries its `id`, a short preview of its content, its labels and a link to open it; pass the id to connections_note_get to read the whole note. With no query, returns the most recently touched notes; with a query, returns the best keyword matches over the title, body and labels.
    ConnectorOAuth
  • Replace the notes on a finished Load Test's Test Report — the only thing on a Load Test this surface edits. Ask the user before writing: notes belong to the user, and advising on a test never requires writing them. The text sent becomes the report's entire notes, so first read the current notes with get_load_test_report and preserve the user's content in what you send.
    Connector
    Destructive
    OAuth
  • Search the user's recorded meetings by keyword or phrase. Matches titles, notes, action items, participant names, and the spoken transcript. Returns ids, titles, dates, participants, and note headings — call get_meeting for the full notes and transcript. Use when the user asks what was said, decided, or assigned on a call, or names a person or project in the context of a meeting. Do not use to browse the whole archive (list_meetings) or to open a meeting whose id you already have (get_meeting). ChatGPT clients call the same search as `search`. Does not create, edit, or delete meetings. query must be non-empty (a blank query is rejected, not treated as list-everything). Scans at most the 200 most recent synced meetings; `truncated` means older meetings were not searched, so `total` is matches in that window, not the lifetime corpus.
    ConnectorOAuth
  • Detection-aware search across the user's assets and generations — matches what the scanner SAW inside each image (item names, colors, textures, scene), not just titles or prompts. Modes: text (default; requires query), color (ranks by closeness to a hex color), similar (ranks by likeness to an anchor image), browse (no query; newest first — use it to explore the library). Scope with project_id; set include_regions to get each hit's detected items with bounding boxes. Text results can include the matched instant INSIDE an indexed video: such hits carry is_video plus a video_moment object (time_ms = the exact millisecond). Filter to one category with gen_type (e.g. gen_type:"video" for clips only). Each hit's image_url is a 600px preview: re-read the original from list_generations before placing a hit in a document.
    ConnectorAPI key
  • Full-text search inside JournalEntry compendium packs — page NAMES and page CONTENT. The tool for rules/lore text ("what does grappled say?" → query "grappled", pageTypes ["rule"]; class write-ups, spell lists): compendium-search sees only document names. Requires bridge module 8.11.0+. Each match carries the PAGE uuid — pass it to uuid-resolve for the full text. matchedIn tells what matched: name matches win (content not scanned, snippet null); content matches carry a ~200-char snippet. Query is a case-insensitive substring; packs are scanned in order until limit, results unsorted.
    ConnectorAPI key
  • Pass `replaces` (the start of ONE of YOUR OWN notes on that day — they come back with by:"ai") to rewrite that one note with `note`, or remove it with an empty `note`; the athlete's notes are never touched. Otherwise: ADD a SHORT note to a calendar day — a few words capturing the key thought (e.g. "easy week, watch sleep"), NOT an essay. A day holds SEVERAL notes; this appends one and never touches the athlete's own notes on that day. Max 1000 chars, but keep yours brief; the athlete uses the long form for their own impressions of the day. For a LIST they will tick off (race kit, the evening before a test) use add_checklist, not this. Pass an empty string to clear ALL notes on that day. Optional colour tags the note — the athlete assigns the meaning of each colour themselves, so only set it when they've told you what a colour means, or reuse a colour already on that day.
    Connector
    Destructive
    OAuth
  • Keyword search over the list of places to submit a startup. A place's exact name or website ("Indie Hackers", "indiehackers.com") puts it first. Asking for free ("free", "no cost", "$0") leaves out places that are paid only. Product words ("web app", "SaaS", "AI tool", "mobile app") keep only places that take that kind of product. Kind-of-place words ("launch site", "directory", "community") put places of that kind first. Other words match names, websites, regions, and the list's notes. For example "free launch sites for a web app", "AI tool directories", or "Australia". Returns up to 20 places, best match first, each with id, title, url (its row on submitmystartup.com, for citing), and a one-line summary. A query with no specific words returns the best free places. Use fetch with an id for the full record, and find_directories to shortlist by a founder's product and limits.
    ConnectorNo auth
  • Discover what is available to filter the user's Contextli notes by. Returns the user's contexts (also called modes: a named style like 'Email', 'Journaling', or 'Product Logs' with its id, prompt, icon, and color), plus filter facets: the total number of notes, which context ids actually appear on notes, and the earliest and latest note dates. Call this FIRST when the user asks to filter notes by a context or by date, so you use valid ids and a valid date range. Note: many notes are not tagged with a context, so prefer text search and dates as the primary filters.
    ConnectorOAuth
  • Search this Cubite site's courses by keyword and get each match's public page URL, for linking to or citing it. This is the search half of the search/fetch pair that ChatGPT connectors and deep research require. The whole query is matched as one case-insensitive phrase, so use one or two distinctive words. Courses match on name or description and are listed in name order; a course without a URL slug has no public page and is never returned, while courses hidden from the catalog are. Returns up to 10 results as {id, title, url}; pass a result's id to `fetch` for its citable text. It is not an inventory: to list, count or manage courses use course_list, which has no keyword filter but returns every course, with or without a slug, with its id, settings and enrollment count.
    ConnectorAPI key
  • Create a new entity in the world model. Always inserts a new node; it does not check for an existing entity with the same name. To reuse-or-create by name, use ``relate_entities`` (which also records a relation) or check with ``search_entities`` first. Side effects: with the default ``hybrid`` strategy the entity is linked to the NEXUS root entity (``belongs_to``); a creation episode, memory links and an event are recorded; and entities with a very similar name may be queued as merge proposals. For explicit links to specific entities use ``create_entity_cognitive``. Returns the entity plus ``relations_created``, ``episode_id``, ``event_id`` and ``memory_links_created``. Args: name: Human-readable name of the entity. entity_type: Type from the closed ontology (schema enum). Use 'unclassified' if none fits. attributes: Optional key-value attributes. strategy: Auto-linking strategy: 'hybrid' (default) or 'root' — link to the NEXUS root entity. 'similar' — link (related_to) to the most recently created entity of the same type. 'none' — no automatic links.
    ConnectorAPI key