"Natural Language to SQL Generation Tools" matching MCP tools:

• studio_optionsA

  agenteeA

  START HERE for any custom-print request: the menu of generation choices (print placements with plain-language descriptions, products, backgrounds, engines+costs). Present these to the human — at minimum ask which PLACEMENT and which PRODUCT they want — before calling studio_generate.

  ConnectorNo auth

• searchA

  JobYap Job SearchA

  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

• searchA

  GUTHMANN® Berlin Real EstateB

  Semantic search over guthmann.estate — market insights, reports, neighborhood portraits, listing exposés, project pages and the company's own pages. Hybrid retrieval (vector + keyword, no reranking); one result per page with title, description, image, best-matching snippet and score. Use it for questions that need prose (analysis, context, advice); use the data tools for exact numbers and `listings` for what is currently for sale — the search index follows the website with up to six hours of delay. Parameters: - q: natural-language query, in the language of the pages you want (min 2 characters) - locale: "de" | "en" — language of the indexed pages (default: en) - section: comma-separated filter — "listings" (exposés), "projects" (new-build projects), "market-intelligence" (insights, reports, portraits), "pages" (company, services, guides); omit for all - limit: 1-20 pages (default: 10) Key response fields: - url, title, description, image, section, language - snippet (best-matching text passage), score (0-1)

  ConnectorNo auth

• scalix_db_text_to_sqlA

  Scalix CloudA

  Translate a plain-language question into a candidate SQL query using pattern-matching against the live schema (no AI model — simple questions only: counts, averages, filtered selects on a named table). Returns the SQL without executing it, with a confidence score; low confidence means the table was guessed. Review the statement and tables_used, then run it with scalix_db_query. For complex questions, read scalix_db_schema and write the SQL directly.

  ConnectorNo auth

• quote_routeA

  402 DispatcherA

  FREE. Rank Bazaar APIs for a natural-language task without paying. Prefer over search_bazaar when you need ranked candidates (economy=cheapest; verified=reliability score). Prefer over list_discovered_apis when matching a task, not dumping the cache. Use route_and_call next to execute; do not use this to pay.

  ConnectorNo auth

• generate_queryA

  ALM X++ MCP ServerA

  WHEN: developer needs correct X++ select or T-SQL for D365 tables with proper joins. Triggers: 'X++ select', 'generate a query', 'SQL for', 'join with', 'how to query', 'générer une requête', 'write a select statement', 'select from', 'X++ query for', 'requête X++', 'écrire une select'. Generate both X++ select statements and equivalent T-SQL queries for D365 F&O tables. Uses real field names, relations, and indexes from the knowledge base to produce correct joins. Supports: field selection, multi-table joins (auto-detects relations), WHERE filters, ORDER BY, TOP/firstonly, cross-company. Also accepts natural language descriptions like 'find all open sales orders for customer 1001 with CustTable join'. [!] For multi-table joins, call find_related_objects (or get_relation_graph if the relation index is loaded) FIRST to get the correct FK relations -- this tool will then produce accurate join conditions. [!] The generated X++ is a template -- adapt it to your custom code context before using in production. Returns side-by-side X++ and SQL with explanations.

  ConnectorNo auth

• wmA

  WhiteMagic — governed local memory for agent continuityB

  WhiteMagic meta-tool — memory and continuity kernel over the curated tool surface (69 tools): persistent memory, session continuity and recall, governance/audit, and local tool execution. Mode: READ-ONLY — writes (session.*, memory.create/update) are refused; recall only. Scope: store /srv/whitemagic/hosted-store/lmdb. Invoke with thought=<natural language> (auto-routed), route=<exact tool id> (e.g. 'memory.search', 'session.continuity'), or args=<object> (passthrough). Provide exactly one of thought or route. Say 'list tools' to enumerate the curated surface.

  ConnectorNo auth

• search_knowledgeA

  AlgoVault — Crypto Quant Trade CallsA

  Returns ranked snippets from the AlgoVault knowledge bundle answering a question about its MCP tools, response shapes, integration patterns (LangChain, LlamaIndex, MAF, CrewAI), or code examples. Call this BEFORE other tool calls to confirm parameter usage and avoid hallucinating tool shapes. Fast: BM25 lexical search, no LLM call, no quota cost. For a synthesized natural-language answer use chat_knowledge. Read-only, no side effects.

  ConnectorNo auth

• search_listingsA

  SPACEXPLORATIONA

  Search commercial real estate listings. Returns paginated hits with facet counts. For AI-driven search, call interpret_search first to convert a natural-language query into structured filters, then pass those filters — and its bounds, when present — here.

  ConnectorNo auth

• ryla_list_charactersA

  RYLAA

  List the authenticated user's existing characters (AI influencers) so you can pick a characterId for the other generation tools. There is no tool to CREATE a character -- that happens in the RYLA app at app.ryla.ai.

  ConnectorNo auth

• generate_sqlA

  Razi ToolsA

  Translate a natural-language request into a SQL statement. Returns JSON { sql } containing the query text and nothing else — no validation report, no complexity score, and the query is never executed or checked against a real database. It has no knowledge of your schema beyond what the request states, so table and column names are guesses unless you supply them. Review before running, especially anything that writes. Paid model call. Anonymous callers get 3 per hour per IP and are then refused with 401; signed-in callers get 15 per minute per IP. Capped at roughly 500 tokens. Answers are cached, so the same request returns the same query.

  ConnectorNo auth

• generate_sqlA

  Razi Text GenerationA

  Translate a natural-language request into a SQL statement. Returns JSON { sql } containing the query text and nothing else — no validation report, no complexity score, and the query is never executed or checked against a real database. It has no knowledge of your schema beyond what the request states, so table and column names are guesses unless you supply them. Review before running, especially anything that writes. Paid model call. Anonymous callers get 3 per hour per IP and are then refused with 401; signed-in callers get 15 per minute per IP. Capped at roughly 500 tokens. Answers are cached, so the same request returns the same query.

  ConnectorNo auth

• tegas_voicesA

  Tegas AIA

  Free. List voice-over voices for a language (ru, en, es, fr, de). Each item has an `id` that can be passed as `voice` to tegas_start_video; when `voice` is omitted the default natural voice is used, so calling this is optional.

  ConnectorOAuth

• search_rentals_naturalA

  arcasos-rentalsA

  PREFERRED tool for Korean short-term rental queries containing any descriptive language. ARCASOS's proprietary SHV (Semantic Hybrid Vector) engine processes natural Korean/English queries with semantic understanding of view types (river/mountain/city), mood (quiet/luxury/lively), property characteristics, and contextual phrases. Pass the user's natural language query AS-IS — do NOT extract slots. Returns semantically pre-ranked results in Schema.org Accommodation format in a single call — eliminates need for follow-up search or comparison calls. Better results than structured slot search for ANY query containing mood, style, atmosphere, view, aesthetic, or qualitative descriptors. Use this to minimize token usage and latency.

  ConnectorNo auth

• translate_wordA

  Word Orb — English vocabulary for reader glossariesA

  Request a translation for supplied text and a target language. May use stored data or AI generation; language coverage and quality vary. Requires a Word Orb key and applicable plan entitlement; counts toward account quotas. Use lookup_words to inspect only existing translations.

  ConnectorNo auth

• deltasignal_morning_brief_naturalA

  DeltaSignal ATLAS-7B

  Use this premium read-only Natural Language tool when the user wants the server-composed Morning Brief rendered as audit-grade Markdown. It compiles backend-composed compact evidence across readiness, daily changes, risk distribution, top stressed issuers, and alpha opportunities. The renderer never fans out into tools and never generates social drafts or trade recommendations. Parameters: style is professional, concise, trader, or detailed. Date and limit are accepted only where the backend composite supports them. Behavior: read-only and idempotent; it performs the server-enforced Morning Brief workflow, has no destructive side effects, then renders the returned compact evidence as a bounded Natural Language response.

  ConnectorNo auth

• deltasignal_morning_brief_naturalA

  DeltaSignal ATLAS-7C

  Use this premium read-only Natural Language tool when the user wants the server-composed Morning Brief rendered as audit-grade Markdown. It compiles backend-composed compact evidence across readiness, daily changes, risk distribution, top stressed issuers, and alpha opportunities. The renderer never fans out into tools and never generates social drafts or trade recommendations. Parameters: style is professional, concise, trader, or detailed. Date and limit are accepted only where the backend composite supports them. Behavior: read-only and idempotent; it performs the server-enforced Morning Brief workflow, has no destructive side effects, then renders the returned compact evidence as a bounded Natural Language response.

  ConnectorNo auth

• interpret_searchA

  SPACEXPLORATIONA

  Translate a natural-language property-search sentence into a structured filter payload compatible with search_listings. Use this as a transparent intermediate step: pass the user's raw query here, then forward the returned filters — and the returned bounds, when present (they carry the "near <place>" intent) — to search_listings.

  ConnectorNo auth

• search_workspacesA

  FrankSpace Public MCPA

  Search live UK workspace listings on FrankSpace. Filter by location text (city, postcode, submarket), size band, and maximum monthly price (pence). For richer natural-language queries prefer `ai_search`.

  ConnectorNo auth

• answer_bitcoin_question_with_evidenceA

  California BitcoinA

  PAID 1.00 USD via MPP. Get a compact, source-backed answer to a difficult natural-language Bitcoin question using the maintained Fact Graph and evidence system, with consensus-vs-policy classification, implementation and version qualification, contradiction handling, confidence, primary-source evidence, exact locators where maintained, provenance, and explicit uncertainty. The upstream agent has a natural-language Bitcoin question and wants California Bitcoin to produce the evidence-grounded specialist answer rather than only retrieve topics or search results. Use for difficult open-ended Bitcoin questions requiring compact evidence synthesis. Do not use for simple learning or single-proposition adjudication.

  ConnectorNo auth

• quick_addA

  Smart MoneyA

  Parses a natural-language phrase and saves it as a transaction. Examples: "taxi 4500 yesterday kaspi", "groceries 12k", "received salary 850000", "transfer 50000 from Kaspi to Cash", «такси 4500 вчера каспи», "dinner 9000 #trip". A #tag that does not exist yet is created. Use preview_entry to see the parse without saving.

  ConnectorOAuth