"Natural Language to SQL Conversion Tools or Resources" matching MCP tools:

• ask-about-project-dataA

  cupix-compassA

  Query the construction project database using natural language (Text-to-SQL). Converts natural language into SQL to retrieve captures, annotations, progress metrics, schedules, and other project records. Pass the user's question as-is without modification. For trade visibility, use `analyze-progress-and-forecasts` instead. **WORKFLOW:** - **Default**: call this tool with only `query`. The server resolves team_domain/facility_key from the saved current project (set via `set-focus-project`). Do NOT call `list-my-projects` again just to obtain these values. - Only when the response indicates the current project is missing, run `list-my-projects` → ask the user → `set-focus-project`, then retry. - Pass explicit team_domain/facility_key **only** when the user clearly wants to query a different project than the saved one. **Available tables:** - progresses: SI progress metrics (level, category, phase, workarea, cost, dates) - captures: Camera captures metadata (level, camera_model, capture_state, user_email) - records: Capture events with timestamps (captured_at, state, id) - photo_notes: Photonotes (description, state, user_email, created_at) - voice_notes: Voicenotes (level, description, state, user_email, created_at) - facilities: Site info (name, address, size, location, bim_count, created_at) - users: User profiles (name, email) - workareas: Spatial zones (level, name, user_name) Args: query: Natural language question (pass as-is, no SQL syntax) team_domain: Omit by default. Pass only to override the current project. facility_key: Omit by default. Pass only to override the current project. user_intent: REQUIRED. Pass the user's original question or request verbatim. Used for analytics only, does not affect results. scope: Previous ask-about-project-data result identity to search within. limit: Number of rows per page. Values above 200 are capped at 200. cursor: Cursor for the next page of the same search. Returns: List of TextContent with query results and metadata

  ConnectorOAuth

• 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

• get_free_resourcesA

  Makuri Showcase (CogniLedger)A

  Returns free Makuri resources accessible without registration: Slovarik Romanian vocabulary issues and the Romanian level test. Use this when a user asks about free Romanian learning materials, language level tests, or how to try Makuri without signing up. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools. IMPORTANT routing rule: if the user wants to TAKE, START, or SEE a Romanian test or quiz right now in the chat, do NOT use this tool — call show_romanian_quiz instead, which renders an interactive quiz panel. Use this tool only for questions ABOUT what free resources exist.

  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

• list_linkedin_conversionsA

  Metadata MCP ConnectorA

  List the LinkedIn conversion actions (Insight Tag conversions) available on the connected LinkedIn ad account, with id, name, type and whether each is enabled. Use it to pick the ids for update_linkedin_channel_settings.conversion_action_ids (which conversions a campaign optimizes toward and reports on), and to answer "which LinkedIn conversions do we track?" or "is the /pricing page conversion set up?". KEYWORDS: linkedin, conversions, conversion actions, conversion tracking, insight tag, website visit conversion, lead gen form conversion, url conversion, page visit, pixel Requires a connected LinkedIn channel (check get_integrations_status). Conversion actions are created in LinkedIn Campaign Manager, not here: when the one the user needs (for example a URL rule for /pricing) is missing, say so and point them at Campaign Manager instead of inventing an id. RESPONSE: {success, count, conversions:[{id, name, type, enabled, last_received_at}]} `enabled: false` conversions cannot be attached to a campaign (launch validation rejects them). `last_received_at` is when LinkedIn last recorded a hit; null means the conversion has never fired.

  ConnectorAPI key

• google_ads_conversion_performanceA

  Google Ads MCPA

  Get conversion performance broken down by conversion action. Use this when the user asks "what conversion actions are firing" or wants per-action CPA. Handles the GAQL segmentation quirks automatically — you don't need to worry about PROHIBITED_METRIC_IN_SELECT_OR_WHERE_CLAUSE. Returns per conversion action: name, conversions, conversion value, plus the account-level cost total so you can compute CPA per action. Bounded by the number of conversion actions in the account — typically small, no pagination needed. Args: customer_id: Google Ads customer ID (digits only). date_range: "LAST_7_DAYS", "LAST_30_DAYS", "LAST_90_DAYS", "THIS_MONTH", "LAST_MONTH", "LAST_24_MONTHS", custom "YYYY-MM-DD,YYYY-MM-DD", etc. See google_ads_account_performance for the full literal list. login_customer_id: Optional MCC account ID. Auto-detected if omitted. campaign_id: Optional campaign ID to filter.

  ConnectorOAuth

• 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

• deltasignal_helpA

  DeltaSignal ATLAS-7B

  Use this free read-only discovery-tier tool when the user asks for help, available commands, MCP tools, core concepts, pricing, parser-stable fields, grants, x402, Morning Brief, Company Report, MSTR treasury review, perp adapters, SPECTRA, or examples. Parameters: optional topic, detail, include_examples, question, or query fields; callers may omit all arguments for overview help. Behavior: local and idempotent with no destructive side effects; it does not run paid analysis routes or expose internal-only tools. It translates natural-language orientation requests into the live DeltaSignal MCP/OpenAPI discovery contract and points users to tools/list, /v1/pricing, /v1/contract/fields, and /v1/readiness. It is not a trading, execution, or investment-advice tool and must not expose internal-only tools unless the live public contract lists them.

  ConnectorNo auth

• deltasignal_covenant_stress_naturalA

  DeltaSignal ATLAS-7B

  Use this premium read-only Natural Language tool when the user wants ticker-specific covenant stress evidence explained in human-readable Markdown. It renders compact ATLAS-7 covenant, leverage, liquidity, filing, and stress evidence into an audit-grade brief while preserving returned ticker, issuer, values, source dates, nulls, quality flags, and caveats. Parameters: ticker is required; date is optional and maps to the evidence period when supported; style is professional, concise, trader, or detailed. Behavior: read-only and idempotent; it performs one HTTPS read against the Natural Language route, has no destructive side effects, and never infers covenant breach, default risk, insolvency, liquidity crisis, or trade direction unless returned by evidence.

  ConnectorNo auth

• deltasignal_helpA

  DeltaSignal ATLAS-7B

  Use this free read-only discovery-tier tool when the user asks for help, available commands, MCP tools, core concepts, pricing, parser-stable fields, grants, x402, Morning Brief, Company Report, MSTR treasury review, perp adapters, SPECTRA, or examples. Parameters: optional topic, detail, include_examples, question, or query fields; callers may omit all arguments for overview help. Behavior: local and idempotent with no destructive side effects; it does not run paid analysis routes or expose internal-only tools. It translates natural-language orientation requests into the live DeltaSignal MCP/OpenAPI discovery contract and points users to tools/list, /v1/pricing, /v1/contract/fields, and /v1/readiness. It is not a trading, execution, or investment-advice tool and must not expose internal-only tools unless the live public contract lists them.

  ConnectorNo auth

• deltasignal_covenant_stress_naturalA

  DeltaSignal ATLAS-7B

  Use this premium read-only Natural Language tool when the user wants ticker-specific covenant stress evidence explained in human-readable Markdown. It renders compact ATLAS-7 covenant, leverage, liquidity, filing, and stress evidence into an audit-grade brief while preserving returned ticker, issuer, values, source dates, nulls, quality flags, and caveats. Parameters: ticker is required; date is optional and maps to the evidence period when supported; style is professional, concise, trader, or detailed. Behavior: read-only and idempotent; it performs one HTTPS read against the Natural Language route, has no destructive side effects, and never infers covenant breach, default risk, insolvency, liquidity crisis, or trade direction unless returned by evidence.

  ConnectorNo auth

• bls_search_seriesA

  bls-labor-mcp-serverA

  Search the BLS series catalog by natural language query, survey code, geographic area, or keywords to resolve cryptic SeriesIDs. Returns matching series with decoded components (survey, area, item, seasonal flag) and plain-language names. Use this before bls_get_series when you have a concept but not a SeriesID. Operates offline — no API quota consumed. Survey filter accepts two-letter codes (CU, CE, LN, LA, PC, JT, OE, EC, PR). Area filter accepts state names, MSA names, or FIPS area codes.

  ConnectorNo auth

• openmeteo_dataframe_queryA

  open-meteo-mcp-serverA

  Run a read-only SQL SELECT against tables staged on a DataCanvas by openmeteo_get_forecast, openmeteo_get_historical, openmeteo_get_marine, openmeteo_get_air_quality, openmeteo_get_ensemble, openmeteo_get_flood, or openmeteo_get_climate. Pass the canvas_id returned when any of those tools spills (truncated: true), and reference the exact table_name those tools return alongside it. Call openmeteo_dataframe_describe to list staged tables and their columns when you need to discover names.

  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

• discoverA

  AgentMarketplaceA

  Discover AgentMarketplace's capabilities, tools, auth methods, and scopes. Call this first when connecting to AgentMarketplace to understand what's available and how to authenticate. No authentication required. Returns a catalog of available tools, resources, auth methods, and scopes.

  ConnectorNo auth

• get_shop_servicesA

  Timeplex K-Beauty BookingA

  Get the available services, prices, durations, and bookable staff or resources for a specific Korean beauty or wellness shop. Use this after finding a shop when service details, prices, durations, staff, or resources are needed before checking appointment availability. Pass lang to receive the content translated into the customer's language.

  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

• 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

• 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-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