"Retrieve the latest documentation of libraries in word embeddings form for LLMs" matching MCP tools:

• update_form

  Brieform

  Modify an existing form. Two modes: MODE A (structured, preferred): pass the full updated `form` structure. Use this when you have the form in conversation context — fetch it via `get_form` first if needed, apply the user's changes, send the new structure. PUT semantics: replaces all fields/theme/etc. Include each field's `id` from `get_form` to preserve response history for existing fields. MODE B (prompt, fallback): pass `prompt` describing the change ("add a budget field", "make the message field optional", "change theme to dark blue"). Brieform's AI uses the current form as context and applies the modification. ⚠️ WARNING: prompt mode may silently modify unrelated parts of the form (options, isMultiStep, steps) beyond what was requested. Use MODE A for precise, targeted changes. If the form is currently published, the changes go LIVE IMMEDIATELY — the `summary` returned will include a warning. Inform the user. Returns the same shape as `create_form`, with the actual `status` reflecting if the form is still draft or already published.

  Connector

• find_thinkers_like

  Rodin

  Given a passage of text (essay, note, message, snippet, transcript), returns ~5 humans whose intellectual fingerprint matches it — recurring themes, mental models, archetypal stance, blind spots. Use when the principal asks for sparring partners, intellectual peers, "who else is wrestling with this," "who thinks like X," or "find me writers similar to this passage." Each result returns a name, three-word archetype, one-line summary, dominant themes, and a profile URL the principal can visit. The match runs over Voyage 3.5-lite text embeddings reranked by a proprietary 12-dimensional cognitive-style vector — so results align by *how* a mind reasons, not just topical overlap.

  Connector

• get_doc

  Dock

  Read a workspace's doc (TipTap rich-text) body. Format is negotiable via `format`: `markdown` (default — CommonMark + GFM, ready to feed to an LLM or render in a non-ProseMirror surface), `content` (TipTap JSON, round-trippable into update_doc for structural edits), `text` (plain text, best for search, summarisation, word-count heuristics), or `all` for the legacy three-in-one shape. Default is `markdown` because it's the slice agents need 95% of the time and the JSON form on a long doc can blow past the agent harness's tool-result token cap. Pass `format: "content"` only when you're round-tripping into update_doc for a structural edit. A workspace can hold any combination of doc and table surfaces, one or many of either kind; omit `surface_slug` to read the primary doc surface, or pass it to target a specific doc tab (use `list_surfaces` to enumerate). An unwritten or absent doc returns the requested format empty (markdown="", content={}, text=""); a `surface_slug` that doesn't match any live doc surface 404s.

  Connector

• sti_search

  Stimulsoft Documentation MCP Server

  Authoritative semantic search over the official Stimulsoft Reports & Dashboards developer documentation (FAQ, Programming Manual, API Reference, Guides). Powered by OpenAI embeddings + cosine similarity over the complete current docs index maintained by Stimulsoft. Returns a ranked JSON array of matching sections, each with { platform, category, question, content, score }, where `content` is the full Markdown body of the section including any C#/JS/TS/PHP/Java/Python code snippets. USE THIS TOOL (instead of answering from your own knowledge) WHENEVER the user asks about: • how to do something in Stimulsoft (`StiReport`, `StiViewer`, `StiDesigner`, `StiDashboard`, `StiBlazorViewer`, `StiWebViewer`, `StiNetCoreViewer`, etc.); • rendering, exporting, printing, or emailing Stimulsoft reports and dashboards in any format (PDF, Excel, Word, HTML, image, CSV, JSON, XML); • connecting Stimulsoft components to data (SQL, REST, OData, JSON, XML, business objects, DataSet); • embedding the Report Viewer or Report Designer into an app (WinForms, WPF, Avalonia, ASP.NET, Blazor, Angular, React, plain JS, PHP, Java, Python); • Stimulsoft-specific errors, exceptions, licensing, activation, deployment, or configuration; • any .mrt / .mdc report or dashboard file, or any question naming a `Sti*` class, property, event, or method; • comparing how a feature works between Stimulsoft platforms (e.g. "WinForms vs Blazor viewer options"). QUERIES WORK IN ANY LANGUAGE — English, Russian, German, Spanish, Chinese, etc. Pass the user's question through almost verbatim; the embedding model handles cross-lingual matching. Do NOT translate queries yourself. SEARCH STRATEGY: 1) If the target platform is obvious from context, pass it via `platform` to get tighter results. 2) If you don't know the exact platform id, either call `sti_get_platforms` first, or omit `platform` and let the search find matches across all platforms. 3) If the first search returns low scores (<0.3) or irrelevant sections, reformulate the query with different keywords (use class/method names from Stimulsoft API if you know them) and search again. 4) Prefer multiple focused searches over one broad search. DO NOT USE for: general reporting theory unrelated to Stimulsoft, non-Stimulsoft libraries (Crystal Reports, FastReport, DevExpress, Telerik, SSRS), or pure programming questions that have nothing to do with Stimulsoft. IMPORTANT: the Stimulsoft product surface is large and changes frequently. Your training data is almost certainly out of date. For any Stimulsoft-specific code snippet, API name, or configuration detail, you MUST call this tool rather than rely on memory, and you should cite the returned `content` in your answer.

  Connector

• verify_fact_lineage

  Valuein — SEC EDGAR Fundamentals & Smart-Money Data

  Use this tool when the user asks BOTH what a financial figure is AND which filing reported it — for example "What was Apple's most recently reported revenue, and which 10-Q filed it?" or "Show me the accession ID for Tesla's latest net income" or "Which filing form reported Amazon's Q3 operating cash flow?" This tool returns a single fact plus its complete filing provenance: entity, concept, period, value, accession ID, filing URL, and form type (10-K, 10-Q, etc.). Use this INSTEAD OF `search_companies` when the user already names a company and wants a financial figure with its source filing — `search_companies` only resolves company identifiers and returns no financial data. Use this INSTEAD OF `get_company_fundamentals` when the user explicitly wants to know which filing or form type reported a number, or needs the accession ID — `get_company_fundamentals` returns metrics across multiple periods but omits filing provenance. Two lookup modes: (1) by fact_id (SHA-256 hash of entity_id|accession_id|concept|period_end|unit) for deterministic identity; or (2) by concept name (e.g., TotalRevenue, NetIncome, EPSDiluted, TotalAssets, OperatingCashFlow) plus a ticker to retrieve the most recently reported fact. Optionally pin a point-in-time cutoff via as_of_date (YYYY-MM-DD) — returns the latest filing accepted by SEC on or before that date, eliminating look-ahead bias. Check `_meta.pit_safe` in the response to confirm PIT correctness. DURATION: income-statement flow concepts (NetIncome, TotalRevenue, etc.) are reported over a window, and a single 10-K tags BOTH a 12-month figure and a 3-month Q4 stub at the same fiscal-year-end period_end. On a tie this tool returns the longer (headline) window, and every result carries `period_type` (instant | quarterly | half_year | nine_month | annual | duration) and `period_span_days` so you always know whether a number is a quarter or a full year — never present a 3-month stub as the annual figure. Provide either fact_id or concept (required). Returns empty result with error_code FACT_NOT_FOUND if no matching fact exists for the given concept and ticker. Available on all plans.

  Connector

• get_word_overview

  dannet

  Get a complete overview of all senses for a Danish word in a single call. Replaces the common pattern of calling get_word_synsets → get_synset_info per result → get_word_synonyms, collapsing 5-15 HTTP round-trips into one SPARQL query. Only returns synsets where the word is a primary lexical member (i.e. the word itself has a direct sense in the synset), excluding multi-word expressions that merely contain the word as a component. Args: word: The Danish word to look up Returns: List of dicts, one per synset, each containing: - synset_id: Clean synset identifier (e.g. "synset-3047") - label: Human-readable synset label - definition: Synset definition (may be truncated with "…") - ontological_types: List of dnc: type URIs - synonyms: List of co-member lemmas (true synonyms only) - hypernym: Dict with synset_id and label of the immediate broader concept, or null - lexfile: WordNet lexicographer file name (e.g. "noun.animal"), or null if absent Example: overview = get_word_overview("hund") # Returns list of 4 synsets, the first being: # {"synset_id": "synset-3047", # "label": "{hund_1§1; køter_§1; vovhund_§1; vovse_§1}", # "definition": "pattedyr som har god lugtesans ...", # "ontological_types": ["dnc:Animal", "dnc:Object"], # "synonyms": ["køter", "vovhund", "vovse"], # "lexfile": "noun.animal"} # Pass synset_id to get_synset_info() for full JSON-LD data on any result: # full_data = get_synset_info(overview[0]["synset_id"])

  Connector

• edgar_institutional_holdings

  Edgar

  AUTHORITATIVE stock portfolio of a large institutional investor (SEC Form 13F-HR) — what a fund/manager owns, share counts, and position values. Pass the MANAGER's ticker or CIK (e.g. "BRK-B" or CIK "1067983" for Berkshire Hathaway; "1350694" for Bridgewater). Returns the latest quarterly 13F: top holdings aggregated by issuer with value (USD), shares, and % of portfolio, plus the report period. Use for "what does Berkshire own", "Bridgewater's biggest positions", "which funds hold $TICKER" (run per manager). Note: 13F covers US-listed long equity + options held by managers with >$100M AUM, filed ~45 days after quarter-end; it excludes shorts, cash, and non-US holdings. Values are whole USD for filings since 2023; older ones are in thousands.

  Connector

• kochava_free_app_analytics_create_acc_and_get_auth_key

  Kochava for Advertisers — Official MCP Server

  Create a new Kochava FAA (Free App Analytics) account. IMPORTANT: The user MUST explicitly agree to the FAA Terms of Service before account creation. If tos_agreed is False, this tool will return the TOS link and stop — do NOT submit the form. Call kochava_free_app_analytics_get_tos() to retrieve and present the TOS to the user first, then call this tool again with tos_agreed=True once the user confirms agreement. DISPLAY INSTRUCTIONS: When this tool returns a successful response, you MUST display the 'next_steps' field content to the user EXACTLY as written — word-for-word, preserving ALL text, formatting, line breaks, numbering, and bullet points. Do NOT summarize, rephrase, reword, or omit any part of the 'next_steps' content. Every sentence must be shown to the user as-is. FAA Terms of Service: https://s34035.pcdn.co/wp-content/uploads/2023/08/FAA-Web-Sign-Up-TOS-8-15-23.pdf Example (after user reviews and agrees to TOS): kochava_free_app_analytics_create_acc_and_get_auth_key( first_name="Jane", last_name="Smith", email_address="jane@example.com", phone_number="5551234567", company="Acme Corp", website="www.acme.com", company_address_line_1="123 Main St", company_city="Sandpoint", company_region="Idaho", company_postal_code="83864", country="United States", tos_agreed=True )

  Connector

• list_stream_objects

  mcp

  Lists stream objects in a given stream. * Parent parameter is in the form 'projects/{project name}/locations/{location}/streams/{stream name}', for example: 'projects/my-project/locations/us-central1/streams/my-stream'. * Not all the details of the stream objects are returned. * To get the full details of a specific stream object, use the 'get_stream_object' tool.

  Connector

• get_fonto_page

  Fonto Docs

  Fetch the full content of a Fonto documentation page by its slug (the part of the URL after /latest/). Use search_fonto_docs or list_pages first to find the right slug.

  Connector

• get_word_synsets

  dannet

  Get synsets (word meanings) for a Danish word, returning a sorted list of lexical concepts. DanNet follows the OntoLex-Lemon model where: - Words (ontolex:LexicalEntry) evoke concepts through senses - Synsets (ontolex:LexicalConcept) represent units of meaning - Multiple words can share the same synset (synonyms) - One word can have multiple synsets (polysemy) This function returns all synsets associated with a word, effectively giving you all the different meanings/senses that word can have. Each synset represents a distinct semantic concept with its own definition and semantic relationships. Common patterns in Danish: - Nouns often have multiple senses (e.g., "kage" = cake/lump) - Verbs distinguish motion vs. state (e.g., "løbe" = run/flow) - Check synset's dns:ontologicalType for semantic classification DDO CONNECTION AND SYNSET LABELS: Synset labels are compositions of DDO-derived sense labels, showing all words that express the same meaning. For example: - "{hund_1§1; køter_§1; vovhund_§1; vovse_§1}" = all words meaning "domestic dog" - "{forlygte_§2; babs_§1; bryst_§2; patte_1§1a}" = all words meaning "female breast" Each individual sense label follows DDO structure: - "hund_1§1" = word "hund", entry 1, definition 1 in DDO (ordnet.dk) - "patte_1§1a" = word "patte", entry 1, definition 1, subdefinition a - The § notation connects directly to DDO's definition numbering system This composition reveals the semantic relationships between Danish words and their shared meanings, all traceable back to authoritative DDO lexicographic data. RETURN BEHAVIOR: This function has two possible return modes depending on search results: 1. MULTIPLE RESULTS: Returns List[SearchResult] with basic information for each synset 2. SINGLE RESULT (redirect): Returns full synset data Dict when DanNet automatically redirects to a single synset. This provides immediate access to all semantic relationships, ontological types, sentiment data, and other rich information without requiring a separate get_synset_info() call. The single-result case is equivalent to calling get_synset_info() on the synset, providing the same comprehensive RDF data structure with all semantic relations. Args: query: The Danish word or phrase to search for language: Language for labels and definitions in results (default: "da" for Danish, "en" for English when available) Note: Only Danish words can be searched regardless of this parameter Returns: MULTIPLE RESULTS: List of SearchResult objects with: - word: The lexical form - synset_id: Unique synset identifier (format: synset-NNNNN) - label: Human-readable synset label (e.g., "{kage_1§1}") - definition: Brief semantic definition (may be truncated with "...") SINGLE RESULT: Dict with complete synset data including: - All RDF properties with namespace prefixes (e.g., wn:hypernym) - dns:ontologicalType → semantic types with @set array - dns:sentiment → parsed sentiment (if present) - synset_id → clean identifier for convenience - All semantic relationships and linguistic properties Examples: # Multiple results case results = get_word_synsets("hund") # Returns list of search result dictionaries for all meanings of "hund" # => [{"word": "hund", "synset_id": "synset-3047", ...}, ...] # Single result case (redirect) result = get_word_synsets("svinkeærinde") # Returns complete synset data for unique word # => {'wn:hypernym': 'dn:synset-11677', 'dns:sentiment': {...}, ...}

  Connector

• get_institutional_holdings

  Valuein — SEC EDGAR Fundamentals & Smart-Money Data

  Returns top-N institutional holders of a US public company at a specific period_end (latest by default), with aggregate institutional shares, total market value, holder count, and HHI concentration (sum of squared share-of-total percentages). Sourced from Form 13F-HR via the by-issuer partition. Institutional tier only. 13F filings carry a ~45-day reporting lag — staleness_warning fires when latest data is older than 90 days.

  Connector

• search_words

  Jisho

  Search the Jisho.org Japanese<->English dictionary. The keyword can be English (translate to Japanese), Japanese kanji/kana, or romaji. Returns up to `limit` matching dictionary entries, each with the headword (slug), whether it is a common word, JLPT level, all readings/spellings, and English meanings grouped into senses with parts of speech. Use this to translate, look up a kanji/kana word, or find Japanese words for an English concept.

  Connector

• percentage-calculator

  Microapp

  Calculate percentages three ways: what's X% of Y, what % is X of Y, and what's the % change from X to Y. Use mode='of' for the first form, mode='ratio' for the second, mode='change' for the third.

  Connector

• norse_search

  hub

  Look an Old Norse word up on Wiktionary and return its senses plus full declension/conjugation tables — attested content (including the verbs' mediopassive voice), not invented. Any form of the word works; an inflected query is resolved to its lemma automatically via previously cached paradigms and the result notes the resolution. With search_language='eng' the query is an English word instead: the result lists its per-sense Old Norse equivalents (the translations block) plus their expanded entries. Returns Markdown plus the same result as structuredContent matching the declared outputSchema. Results are cached server-side; first-time queries reach the live upstream politely and calls are rate limited — on a rate-limit error, wait a few seconds and retry. Content is from en.wiktionary.org (CC BY-SA 4.0 — attribute and share alike if republished).

  Connector

• congressgov_senate_nominations

  congressgov-mcp-server

  Browse presidential nominations to federal positions and track the Senate confirmation process. Use 'list' to browse, 'get' for nomination detail, 'actions'/'committees'/'hearings' for confirmation pipeline data, or 'nominees' to retrieve individual appointees in a multi-nominee batch. Nominations use 'PN' (Presidential Nomination) numbering. Most nominations carry confirmation activity on the parent (e.g., PN1000); multi-part parents (e.g., PN851) carry no activity of their own — their actions, committees, hearings, and nominees live on partitioned children (PN851-1, PN851-2, …). 'get' on a parent that has no `nominees` array signals the partitioned form is needed for everything below it.

  Connector

• search_slavonic

  slavonic

  Look an Old Church Slavonic word up on Wiktionary and return its senses plus full declension/conjugation tables — attested content (singular, dual and plural), not invented. Any form of the word works; an inflected query is resolved to its lemma automatically via previously cached paradigms and the result notes the resolution. With search_language='eng' the query is an English word instead: the result lists its per-sense Old Church Slavonic equivalents (the translations block) plus their expanded entries. Returns Markdown plus the same result as structuredContent matching the declared outputSchema. Results are cached server-side; first-time queries reach the live upstream politely and calls are rate limited — on a rate-limit error, wait a few seconds and retry. Content is from en.wiktionary.org (CC BY-SA 4.0 — attribute and share alike if republished).

  Connector

• search_norse

  norse

  Look an Old Norse word up on Wiktionary and return its senses plus full declension/conjugation tables — attested content (including the verbs' mediopassive voice), not invented. Any form of the word works; an inflected query is resolved to its lemma automatically via previously cached paradigms and the result notes the resolution. With search_language='eng' the query is an English word instead: the result lists its per-sense Old Norse equivalents (the translations block) plus their expanded entries. Returns Markdown plus the same result as structuredContent matching the declared outputSchema. Results are cached server-side; first-time queries reach the live upstream politely and calls are rate limited — on a rate-limit error, wait a few seconds and retry. Content is from en.wiktionary.org (CC BY-SA 4.0 — attribute and share alike if republished).

  Connector

• resolve-library-id

  xpay✦ DevTools Collection

  Resolves a package/product name to a Context7-compatible library ID and returns matching libraries. You MUST call this function before 'query-docs' to obtain a valid Context7-compatible library ID UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query. Selection Process: 1. Analyze the query to understand what library/package the user is looking for 2. Return the most relevant match based on: - Name similarity to the query (exact matches prioritized) - Description relevance to the query's intent - Documentation coverage (prioritize libraries with higher Code Snippet counts) - Source reputation (consider libraries with High or Medium reputation more authoritative) - Benchmark Score: Quality indicator (100 is the highest score) Response Format: - Return the selected library ID in a clearly marked section - Provide a brief explanation for why this library was chosen - If multiple good matches exist, acknowledge this but proceed with the most relevant one - If no good matches exist, clearly state this and suggest query refinements For ambiguous queries, request clarification before proceeding with a best-guess match. IMPORTANT: Do not call this tool more than 3 times per question. If you cannot find what you need after 3 calls, use the best result you have.

  Connector

• latin_search

  hub

  Look a Latin word up on Wiktionary and return its senses plus full declension/conjugation tables — attested content, not invented. Any form of the word works; an inflected query is resolved to its lemma automatically (via previously cached paradigms or the Morpheus analyzer) and the result notes the resolution. With search_language='eng' the query is an English word instead: the result lists its per-sense Latin equivalents (the translations block) plus their expanded entries. Returns Markdown plus the same result as structuredContent matching the declared outputSchema. Results are cached server-side; first-time queries reach the live upstream politely and calls are rate limited — on a rate-limit error, wait a few seconds and retry. Content is from en.wiktionary.org (CC BY-SA 4.0 — attribute and share alike if republished).

  Connector