"A tool or system for querying terms and enhancing translations" matching MCP tools:

• system_reliability

  ReliaStats

  Given per-component reliabilities and a structure ('series' or 'parallel'), return the system reliability. Series = product (all must work). Parallel = 1 − product(1−Rᵢ) (at least one works). Useful for back-of-envelope RBD calcs before reaching for full RBD tooling. For mixed-structure systems (series with parallel sub-blocks), call this tool repeatedly on the sub-blocks. ANTI-FABRICATION: exact closed-form. Quote verbatim.

  Connector

• compare_translations

  Tripitaka MCP (hosted)

  Compare every available translation for a single segment. 💡 **Use this tool when:** - The user asks about the meaning/translation of a single Pāli line and wants to see multiple translators side-by-side. - Checking how different translators interpret the same line — technical terms like `dukkha`, `anattā`, `nibbāna` carry nuance that varies across translations. - Academic work that needs to quote multiple translations. 🔍 **vs `get_sutta`:** this tool targets a **single segment** (line level); `get_sutta` returns the **whole sutta**. To compare a whole sutta you'd call `compare_translations` for each segment. 📋 **segment_id format:** `<sutta_id>:<paragraph>.<line>`, e.g. `mn1:171.4` (Mūlapariyāyasutta paragraph 171 line 4 — "Nandī dukkhassa mūlaṁ"). Find segment_ids via `get_sutta` or search results. ⚠️ **Current state:** the `translation` table is mostly empty (the DB only loads default Pāli + English from bilara). `total_editions` is usually 0; `text_pali` and `text_english` are always populated. Thai editions will be added later.

  Connector

• open_sutta_viewer

  Tripitaka MCP (hosted)

  Open an interactive sutta viewer inside the chat — Pāli + English, plus an optional third row in the user's own language translated BY YOU. Renders each segment as: Pāli on top (canonical), the Bhikkhu Sujato English below it (verification anchor), and — when you supply `translations` — your translation in the user's language, clearly badged as AI-generated. Prefer this over dumping raw segments when the user wants to *read* a sutta. - `sutta_id` — standard SuttaCentral id, e.g. `sn56.11`, `mn10`, `dn22`. - `around` — a segment_id (e.g. `dn22:18.1`, from a search hit) to centre on; that segment is highlighted and scrolled into view. Use this after a search so the reader lands on the exact cited line. - `offset` — 0-based segment index for paging long suttas (use `next_offset` from the previous result). Do NOT combine with `around`. - `window` — segments before/after `around` to include (default 12). 🌐 **Translating for the user (important):** when the conversation language is neither English nor Pāli, you SHOULD translate the displayed segments and pass them via `translations` so the user reads in their own language while still seeing the originals: 1. Fetch the segments first (`get_sutta` with the same selector) so you have the exact Pāli + English text. (Already called this tool without translations? The result contains the segments — translate them and call this tool AGAIN with the same selector plus `translations` to upgrade the view.) Your translation must travel through the `translations` parameter to appear in the viewer — writing it as a normal chat message leaves the viewer bilingual and looks broken; the tool always accepts `translations`, so never report it as missing. 2. Translate **from the Pāli as the source, using the English as a semantic guide** — never relay-translate from English alone. Preserve untranslatable doctrinal terms (dukkha, jhāna, taṇhā…) as loanwords with a brief gloss instead of forcing equivalents. 3. Call this tool with `translations=[{segment_id, text}, ...]` covering ONLY the segments being displayed (never a whole long sutta), `translation_language` (BCP-47, e.g. "th", "es"), and `translation_disclaimer` — one short line IN THE USER'S LANGUAGE saying the translation is AI-generated in this conversation and should be checked against the Pāli/English above. Translations are conversation-ephemeral: nothing is stored server-side; the canon stays Pāli + English only. Translations whose segment_id is not in the displayed window are dropped (reported in `translations_dropped`). Without `around`, shows the sutta from the top (capped for long suttas).

  Connector

• search_concept

  Source Library

  RETURNS QUOTABLE PASSAGES matched by MEANING (cosine similarity on Gemini embeddings, 768d) — paraphrases and adjacent phrasings match even with zero keyword overlap. PICK THIS when the modern term won't literally appear in historical texts — e.g. "distributed cognition" maps to passages about active intellect, art of memory, wax tablet metaphors; "social contract" maps to pre-Hobbesian discussions of consent and authority. → For exact words/distinctive terms use search_translations (cheaper, more precise); to list which BOOKS cover a topic use search_library; if the user named an author/work, get_book first (semantic search is expensive — reserve it for cross-corpus discovery). Similarity calibration: 0.70+ is a strong match, 0.55–0.70 is worth reading but verify, below 0.55 is mostly conceptual drift. Set max_per_book to diversify results across many books rather than cluster on one source. Each passage carries a snippet_type — quote only "translation" snippets, never "summary". Cross-cultural tip: for pre-modern or non-Western topics, also try source-tradition vocabulary — e.g. for seminal economy try "jing preservation" or "bindu yoga" or "istimnāʾ"; for masturbation try "mollities" (Latin) or "hastamaithuna" (Sanskrit) or "shouyin" (Chinese). The corpus is indexed via period translations that use tradition-internal terminology, so adjacent/euphemistic terms often surface material that modern English keywords miss.

  Connector

• ris_search_legislation

  ris-austria-mcp-server

  Search Austrian consolidated law and English translations: federal law (scope: federal, the default), one Bundesland (scope: burgenland … wien), municipal law (municipality plus a state scope — selected norms in 6 Bundesländer), or English translations of selected federal laws (language: english, federal only, ~138 documents). One document is one § / Artikel / Anlage; fetch a whole law by filtering law_id. Searches apply the version in force today in Austria by default — set in_force_as_of for another date, include_all_versions: true for full version history, or an entered_force / left_force window for new-law and repeal tracking; the three version filters are mutually exclusive, and the applied date is echoed back in the result. query is full text (boolean UND/ODER/NICHT or AND/OR/NOT, trailing-only * wildcard); title matches title, short title, and abbreviation ("DSG"). For a specific citation like "§ 6 DSG", ris_lookup_citation resolves it deterministically instead. Consolidated text is informational, not legally binding — the authentic gazette artifact lives in ris_search_gazette.

  Connector

• faostat_resolve_codes

  faostat-mcp-server

  Resolve human terms to the opaque integer codes faostat_query_observations needs, within a dimension: areas (countries/regions), items (commodities), or elements (metrics like production, yield, import quantity). Pass `query` for fuzzy full-text matching ("maize" → item 56), `name_contains` for a substring filter, or `code` for an exact-code lookup; omit all three to list the whole dimension. Item and element results are scoped to the requested domain — only codes present in that domain's cube are returned, so a resolved code is always queryable there (areas are shared across domains). Page large listings with `offset` + `limit`: when the response reports `truncated`, pass the returned `nextOffset` to fetch the next page. Every area match is flagged `country` or `aggregate` — aggregates (World, continents, economic groupings — codes ≥ 5000 plus a few curated sub-threshold roll-ups such as China=351, which sums mainland + Taiwan + Hong Kong + Macao) double-count if summed with their member countries, so resolve before querying and exclude aggregates unless you want the regional roll-up.

  Connector

• admin_create_news

  mcp

  Admin-only: publish a news article directly into any locale, any status, with no safety classifier and no English-first requirement. Requires an api_key belonging to an admin account — a valid but non-admin key is rejected. For non-admin accounts, use draft_news instead. Can also queue selected translations or every missing locale without keeping the MCP request open while translation runs.

  Connector

• eurostat_get_dimension_values

  eurostat-mcp-server

  List all valid values for a specific dimension in a Eurostat dataset (e.g., all unit codes for nama_10_gdp, all geo codes for a regional dataset). Use this when eurostat_get_dataset_info returns more values than the 10-item sample, or to confirm exact codes before querying. For the "geo" dimension, use geo_level to filter by NUTS hierarchy (country, nuts1, nuts2, nuts3). Invalid dimension_value codes silently return no data from eurostat_query_dataset, and are rejected by Eurostat as a fault on eurostat_download_dataset; use this tool to verify codes first.

  Connector

• list_capabilities_v1

  osint

  List available exascale.build data capabilities for agent discovery before querying. Also call this BEFORE stating that a capability is not available — client tool lists are cached and this surface grows; anything listed here is reachable via query_capability_v1 even if your tool list predates it.

  Connector

• search_translations

  Source Library

  RETURNS QUOTABLE PASSAGES (page-level snippets + citation URLs), matched by KEYWORD/term. PICK THIS to find a quote or textual evidence on a topic across the whole library. → If the modern word won't literally appear in historical texts, use search_concept (matches by meaning); to list which BOOKS cover a topic use search_library; to dig inside one known book use search_within_book; if the user named an author/work, get_book first (its AI summary is usually the right first read). Query tips: single distinctive terms ("memory palace", "wax tablet") work best; multi-word natural-English queries ("unity of the intellect") may return fewer results because matching is term-based, not phrase-based. Each snippet has a snippet_type — "translation"/"ocr" means it is a verbatim extract from the source text; "summary" means it is AI-generated description (do not quote those as the author's words). Response includes total_matches, returned, and offset for pagination. Cross-cultural tip: for pre-modern or non-Western topics, search source-tradition vocabulary rather than modern English terms — e.g. for seminal economy search "jing" or "bindu" or "istimnāʾ", not "semen retention"; for female homoeroticism search "tribade" or "sahq", not "lesbian". The corpus is indexed via period translations that use tradition-internal terminology.

  Connector

• ayah_translation

  Tarteel MCP Server

  DEFAULT tool for user-facing translation display. Use this for ANY user-facing request to show/see translations of a Quran ayah — including 'show me…', 'what's the translation of…', 'give me Saheeh/Clear Quran/Taqi Usmani translations of…'. This is the FINAL tool call for these requests; do not follow it with get_translation_text. ONLY skip this widget and use get_translation_text when EITHER (a) the user explicitly asks for plain text / raw text / text-only output, OR (b) the result will be piped into another tool in the same turn without being shown to the user. When in doubt, use this widget. SLUG HANDLING: If the user names a specific translator (e.g. 'Saheeh International', 'Clear Quran', 'Yusuf Ali', 'Pickthall'), ALWAYS call lookup_translations first to resolve the exact slug — do not guess the slug from the author name. Guessed slugs routinely fail validation (the naming isn't fully pattern-based: it's 'en-sahih-international' but 'clearquran-with-tafsir'). You may also pass language codes via 'languages' if the user only specifies a language. Each query must include at least one of languages or translations. Use ayah keys in 'surah:ayah' format (for example '2:255'). In queries[].languages use ISO 639-1 codes (for example 'en', 'ur'), not language names. Do not use 'ar'; Arabic translation is unsupported in this tool.

  Connector

• list_translations

  Tarteel MCP Server

  DEFAULT tool for user-facing translation-listing questions. Use this for ANY user-facing query like 'what English translations are available', 'list French translations', 'which translators can I choose from'. This is the FINAL tool call for these requests; do not follow it with lookup_translations. Shows the catalog in an interactive widget the user can browse. Use ISO 639-1 codes like 'en', not names like 'english'. ONLY use lookup_translations instead when EITHER (a) the user explicitly asks for plain text / raw data, OR (b) you will pipe the result into ayah_translation in the same turn without showing the list. When in doubt, use this widget. Returned language_name values are display labels. Rows without usable slugs are filtered out.

  Connector

• osv_list_ecosystems

  osv-advisory-mcp-server

  Return the list of supported ecosystem identifier strings for use with osv_query_package and osv_query_batch. Ecosystem strings are case-sensitive exact matches — passing "pypi" instead of "PyPI" returns an error from the API. Use this tool to discover valid ecosystem strings before querying, or to verify an ecosystem identifier from a lockfile format. The list is static (maintained from the OSV schema spec) and may occasionally lag newly added ecosystems.

  Connector

• treasury_dataframe_query

  treasury-fiscaldata-mcp-server

  Run a single-statement SELECT against DataCanvas dataframes registered by treasury_query_dataset, treasury_get_debt, treasury_get_interest_rates, and treasury_get_exchange_rates. Read-only: writes, DDL, DROP, COPY, PRAGMA, ATTACH, and external-file table functions are rejected. System catalogs (information_schema, pg_catalog, sqlite_master, duckdb_*) are denied at the bridge layer. All Treasury dataframe columns are VARCHAR — CAST to DECIMAL or DATE for arithmetic and date comparisons. Use treasury_dataframe_describe to list available table names and column schemas before querying.

  Connector

• create_contract

  Relaystation

  Create a binding-by-goodwill agreement between agents/parties and get back a contractId + termsHash + per-signer read tokens. The contract IS a hash-chained, auto-witnessed record (terms = entry 1, consents append after); it is tamper-evident and permanently verifiable, but it is NOT legally binding, NOT court-enforceable, and involves NO escrow or money movement — enforcement rests on the good faith of the parties. BILLABLE (contracts.create, charge-on-attempt). The system appends a canonical signature block (and, if arbitration:true, an arbitration block) to your terms — your terms body must NOT itself contain those blocks. Each required signer is identified by EXACTLY one method: a "wallet" (0x-address, satisfied only by an EIP-712 ContractConsent signature) or an "account" (a Relaystation customerId, satisfied only by that authenticated account). Input: { terms (required), requiredSigners: [{ identity, kind: "wallet"|"account" }] (required, ≥1), arbitration?: boolean, signingWindowSeconds?: int (default 72h) }. Requires an Idempotency-Key. Returns { id, batonId, termsHash, status, signingDeadline, requiredSigners, tokens: [{ identity, tokenId }] }. Hand each signer their read token + the contractId + termsHash so they can review and sign. Example: create_contract {terms:"Both parties agree…", requiredSigners:[{identity:"0xABC…", kind:"wallet"}, {identity:"<customerId>", kind:"account"}]}.

  Connector

• list_articles

  Tenjin

  Browse, filter, and paginate the Tenjin article directory. Full-text search over title/excerpt/tags plus the whole body of every piece, a paid body included — a match on gated prose only decides WHICH public row is listed (also matches a creator handle); returns preview-only listing items (never a paid body, snippet, match offset, or score), cursor-paginated — newest-first when browsing (or a chosen sort: oldest, most-read, least-read, cheapest, dearest). q alone is relevance-ranked; q + sort filters by the query and orders the matches by the sort. The content match ORs your plain words (`or` and `-` are operators; stopwords drop) and the handle arm matches outside it, so extra terms widen the set and relevance orders it: q is still for SHORT terms (a topic word, a name, a handle), and for a whole QUESTION use the `search` tool, which matches meaning as well as wording.

  Connector

• get_delivery_terms

  SuperMCP

  The full published terms for a single online storefront: every fee band over basket size, the minimum order, the service area, and where each figure came from. Use to explain a deliveryFee an optimize_delivery plan reported, or to answer 'what do I need to spend for free delivery?'. Take the slug from a plan's serviceSlug. catalogSize and catalogVisibility are reported here only when already known: this tool answers from published terms and never waits on the item count. A null in either means one of two things, and they are not interchangeable: we hold no priced store for this storefront, OR the count has not been taken yet. Call list_delivery_options for a count you can rely on being present; never read a null here as an empty shop.

  Connector

• get_shared_transcript

  RiverScript

  Fetch the full text of a transcript that someone has shared publicly from RiverScript, given its share link. Use this when the user pastes a riverscript.com/share/... link, or asks about the contents of one, so you can answer questions about the recording, summarise it, pull quotes, or translate it. Works for transcripts and for translations of transcripts. Only returns transcripts whose owner made them public; private, expired, or deleted links return nothing.

  Connector

• get_contribution_terms

  The Ainglish Project

  The exact current contribution-terms text, version and SHA-256 digest. Reading accepts nothing. A real proposal or amendment accepts and records the current terms automatically; attach {version,digest,accepted:true} only when you want an exact fail-closed pin.

  Connector

• get_power_passport_link

  solar-home-incentives

  Qualify the minimum non-sensitive project facts for EnergyAI’s $2,500 founding Power Passport and return an attributable website handoff plus ready-to-paste shareText. Use when a compute, data-center, renewable-energy, utility, or infrastructure buyer needs a five-business-day pre-feasibility screen for one candidate site and workload. This tool never submits a request, accepts terms, creates checkout, or declares the site qualified; EnergyAI reviews scope, source material, delivery capacity, and commercial terms before requesting payment. [always free — no API key required]

  Connector