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229,132 tools. Last updated 2026-06-24 02:40

"A search for notes" matching MCP tools:

  • Search the web for current information on any topic. Returns extracted page content, not just snippets. Best for factual lookups, specific questions, or when you need a list of sources. For open-ended questions that need synthesis across many sources, use the research tool instead. For news queries (current events, breaking news, politics, world events), set topic="news" to search news sources specifically. This returns recent articles with publication dates. Set include_answer=true to get an AI-synthesized answer alongside results (adds 5 credits). This is the sweet spot for most agent tasks, e.g. basic + include_answer = 8 credits, much cheaper than a full 25-credit research call. Returns: query, answer (if requested), results (array of {title, url, content, description, fetched, published_date}), search_depth, topic, elapsed_ms, credits_used, credits_remaining, altered_query. Args: query: The search query search_depth: "basic" (default) for extracted page content (3 credits), "snippets" for SERP snippets only without page fetching (1 credit) max_results: Number of results (default 10, max 20) include_answer: Generate an AI answer that synthesizes the search results (adds 5 credits) include_domains: Only include results from these domains (max 10) exclude_domains: Exclude results from these domains (max 10) topic: "general" for web search, "news" for news articles. use "news" for current events, breaking news, politics, or any time-sensitive query freshness: Filter by recency - "day", "week", "month", "year", or "YYYY-MM-DD:YYYY-MM-DD"
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  • Keyword and semantic search across the connected repository's generated docs, conventions, documentation gaps, AI-context notes, and indexed code. Read-only; no side effects. Returns ranked matches in Markdown grouped into Documentation and Code sections, each with a title, snippet, and source paths. Use for open-ended lookups when you don't know which category holds the answer; when you do, the specific getters (get_conventions, get_doc_gaps, get_documentation_opportunities) are more direct. Omitting query returns recent context instead.
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  • Tracks a job from jobs_search results in the user's job tracker, identified by its job_id. For a job found elsewhere on the open web (with a URL but no jobs_search job_id), tracker_add_external is the right tool instead. Fields: - `job_id`: the job ID from jobs_search results (required) - `status`: initial status (saved, applied, interviewing, offered, archived); defaults to "saved" - `sub_status`: sub-status within the main status - `notes`: notes about the job Returns the tracked job with its details, or an error if it is already tracked. A job that was previously removed from the tracker is restored with its earlier status and notes.
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  • GET /search — Cross-resource omni-search Cross-resource search across profiles, rooms, messages (incl. private DMs + group DMs you're in), events, and chapters in one round trip. Returns the top-N matches per resource, grouped by resource. Use this when you don't yet know which resource carries the answer — agents typically call this first, then drill into a specific `GET /search/<resource>` for more depth on a single bucket. There's no page param: when you hit the per-resource limit and want more, switch to the per-resource endpoint for that one. The events slice has a baked-in forward-looking default (events ending in the last 30 days or later, and currently enabled) — this matches the in-app "Search across DC" surface. Use `GET /search/events` directly to look further back in time. **Query syntax (`q=`):** plain words match with prefix + typo tolerance. Wrap a phrase in double quotes to require an exact ordered match — e.g. `q="remote work"`. AND/OR/NOT/parentheses are NOT parsed in `q=` — use the structured filter params below for boolean composition.
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  • Get all notes for your account. Notes are automatically decrypted and returned in reverse chronological order. Use them internally for tool chaining but present only human-readable information (titles, content, dates). # fetch_notes ## When to use Get all notes for your account. Notes are automatically decrypted and returned in reverse chronological order. Use them internally for tool chaining but present only human-readable information (titles, content, dates).
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  • Search notes by keyword or list recent notes. Returns summaries (id + description) only. Use get_note to retrieve the full content of a specific note. With query: Case-insensitive keyword search on description and content. Without query: Returns most recently updated notes.
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Matching MCP Servers

Matching MCP Connectors

  • Podcast directory search + best podcasts + recommendations via Listen Notes. Free key required.

  • 斯特丹STERDAN天猫旗舰店产品咨询MCP Server。洛阳30年源头工厂,高端钢制办公家具,1374个SKU,涵盖保密柜、更衣柜、公寓床、货架、快递柜。BIFMA认证,出口35+国家。8个工具:产品目录查询、场景推荐、认证资质、采购政策、维护指南等。

  • Get an overview of the Second Brain: counts of notes, containers, tags, and inbox items, plus recent_notes (the 5 most recently created personal notes) and recent_changes (the 5 most recently edited notes across ALL spaces — personal, teams, and shared containers — newest edit first). Use recent_changes to orient at the start of a conversation on what changed lately everywhere. No parameters required.
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  • Fetch a file from a public URL and attach it to one of your personal notes (personal notes only; for team or shared notes use files-create_upload_url). Follows one redirect. Required: note_id (integer), url (string). Optional: filename (default: derived from URL), content_type (default: from HTTP response), description.
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  • Search the Akashic Core API — the primary retrieval path for validated public knowledge. Returns agent-friendly capsules (summary + key_points + cautions) packaged from claim/evidence data. Use this FIRST for factual/conceptual questions. For your own working notes use search_notes. - mode='compact' → 1-sentence summary per capsule (smallest, best for small models) - mode='standard' → full capsule without metadata (default) - mode='full' → everything including metadata and timestamps - fields=['summary','key_points'] → custom projection overriding mode
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  • Subscribes the authenticated user to job alerts for a specific saved job search. **Input:** - `job_search_id`: The job search identifier to subscribe to (required). Accepts either the job search UUID or the composite job ID returned by `jobs_search` / `jobs_details` (format: "seo_id--job_search_id"). - `frequency`: Alert frequency — one of daily, weekly, monthly (optional, defaults to "weekly") **Output:** Returns the created or updated job alert with id, status, and frequency. Idempotent: calling this tool for an already-subscribed search updates the existing alert without creating a duplicate.
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  • Search across your own connected-account content and return the best matches. Each result has an `id` (pass it to `fetch` for the full item), a `title`, a `url`, and a `text` snippet. This is the deep-research "search" entrypoint the ChatGPT/Claude connectors call by convention; for semantic search over analyzed videos specifically use `search_videos`. Returns {"results": [...]}; when you have no connected accounts it returns reason="no_connected_accounts" plus a connect_url instead of results.
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  • Search across ALL string properties of ALL nodes in a deployed graph using free-text queries. Unlike search_graph_nodes (which filters by specific property), this searches every text field at once. Perfect for finding knowledge when you don't know which property contains the answer. Example: query "quantum" searches name, description, summary, notes, and all other string fields. Returns nodes with _match_fields showing which properties matched. Optionally filter by entity_type to narrow results.
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  • 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, personal 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. 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}.
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  • Search the MeSH vocabulary for standardized medical terms. Find MeSH (Medical Subject Headings) descriptors to use in precise PubMed searches. Returns MeSH IDs, preferred terms, and scope notes. Args: term: Search term (e.g. 'diabetes', 'heart failure', 'opioid'). limit: Maximum results (default 10).
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  • Create or update NOTE events in Intervals. dry_run is required: false writes the note, true previews only. Send category=NOTE and external_id=note:YYYY-MM-DD:<slug>. Use all-day local times for normal notes, keep description short, and omit type, moving_time, icu_training_load, and workout_doc. For weekly review notes or other notes that apply to the whole week, send for_week=true; omit it or use false for ordinary notes. Do not create a seven-day date range for weekly notes; keep one all-day anchor date and use for_week=true.
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  • Full-text search in your notebook. By default searches only your own notes. Pass filter_agent_id=<int> to search another agent's notebook, or "all" (or "*") for workspace-wide. Or list all notes for a person/thread by scope_ref_id.
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  • Unified colony search in ONE call: your own + public/shared MEMORY (hybrid semantic + keyword — C1-private, never another agent's private data) AND the public WALL feed. Pass handle+secret to include your private memory; omit them for public-only. Returns per-source results plus a merged ranked list, each item tagged with `source` and `acl_status`. This is 'search your past and your colony'.
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  • [tourradar] Search for tours by title using AI-powered semantic search. Returns a list of matching tour IDs and titles. Use this when you need to look up a tour by name. When you know tour id, use b2b-tour-details tool to display details about specific tour
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  • Returns the user's saved recipes with title, status, rating, diet tags, and timestamps. Use to browse what the user has cooked or wants to make. Supports search by keyword and filtering by status or favorites. To get full recipe content and cook notes, use get_recipe with a specific ID.
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  • List notes with optional filtering, sorting, and pagination. Returns paginated results. Optional: team_id (integer) to list team notes, scope ('active'|'archived'|'inbox'|'favorited'), 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). 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']}.
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