"Microsoft SQL Server 2008 Overview and Information" matching MCP tools:

• vibekit_db_queryA

  VibeKitA

  Run a read-only SQL query against an app's Postgres database and return up to 200 result rows. SELECT only — writes and DDL (INSERT/UPDATE/DELETE/ALTER/DROP/…) are rejected server-side; use vibekit_chat or vibekit_submit_task to have the agent make data or schema changes. Call vibekit_db_schema first to learn the tables. SQL string, max 5000 chars.

  ConnectorNo auth

• delete_view_recordsA

  CaspioA

  Deletes one or more records through a Caspio view that match the WHERE clause. This is irreversible. In multi-table views, only records from the primary table are deleted. WHERE is required and supports Microsoft SQL Server syntax. A broad WHERE clause will delete all matching records. To delete a single record, filter by PK_ID or another unique field. Returns the count of deleted records. IMPORTANT: field names in WHERE are case-insensitive and must come from discover_views' field list -- never guess. Call discover_views first for any view not already discovered earlier in this conversation to get its viewId.

  Connector

  Destructive

  OAuth

• microsoft_docs_fetchA

  Microsoft Learn MCPA

  Fetch and convert a Microsoft Learn documentation webpage to markdown format. This tool retrieves the latest complete content of Microsoft documentation webpages including Azure, .NET, Microsoft 365, and other Microsoft technologies. ## When to Use This Tool - When search results provide incomplete information or truncated content - When you need complete step-by-step procedures or tutorials - When you need troubleshooting sections, prerequisites, or detailed explanations - When search results reference a specific page that seems highly relevant - For comprehensive guides that require full context ## Usage Pattern Use this tool AFTER microsoft_docs_search when you identify specific high-value pages that need complete content. The search tool gives you an overview; this tool gives you the complete picture. ## URL Requirements - The URL must be a valid HTML documentation webpage from the microsoft.com domain - Binary files (PDF, DOCX, images, etc.) are not supported ## Output Format markdown with headings, code blocks, tables, and links preserved.

  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

• update_table_recordsA

  CaspioA

  Updates one or more records in a Caspio table that match the WHERE clause. The payload is a flat JSON object containing only the fields to update (e.g., {'Status': 'Closed', 'ClosedDate': '2026-01-15'}). Fields not included in the payload remain unchanged. WHERE is required and supports Microsoft SQL Server syntax. Be cautious: a broad WHERE clause will update all matching records. To update a single record, filter by PK_ID or another unique field. Returns all updated records. IMPORTANT: field names are case-insensitive and must come from discover_tables' field list -- never guess. Call discover_tables first for any table not already discovered earlier in this conversation to get its tableId.

  ConnectorOAuth

• list_databasesA

  Bitquery: Crypto & Blockchain DataA

  CATALOG of the databases raw SQL can reach — the SHOW DATABASES equivalent. For each database: what it holds, which tool runs SQL against it, how to see its tables, and which specialized tools answer the same questions without SQL. Call it before writing raw SQL against an unfamiliar database. Takes no parameters and answers instantly. trading_rt comes first: DEX trades, OHLC / volume bars, prices and supply for every trading chain over the last ~30 days — query it with execute_sql, browse it with list_tables, describe_table and search_columns. The per-chain databases (eth_api, bsc_api, matic_api, arbitrum_api, base_api, optimism_api, robinhood_api, arc_api, tron_api, solana, bitcoin, bitcoin_flow, ripple, ripple_flow, cardano, cardano_flow, altcoin, altcoin_flow - Litecoin, Dogecoin and Dash in one database, rows told apart by blockchain_id - bitcash, bitcash_flow for Bitcoin Cash, and stellar) hold transfers, calls, events, transactions and balances; browse them with chain_list_tables, chain_describe_table and chain_search_columns (pass the database name) and query each one with that chain's <chain>_transfers_raw_sql tool (xrp_, ada_, ltc_ / doge_ / dash_, bch_ and xlm_transfers_raw_sql for the ones above after bitcoin_flow). zcash and zcash_flow are queried with zec_transfers_raw_sql but the schema browser does not cover them: that tool's description lists their tables. stellar_flow is not browsable either - it starts in December 2023 and misses some ledgers, so query stellar instead. Address labels have no SQL access at all — use the label tools. Prefer a specialized tool whenever one answers the question: it already filters on the right keys and is far cheaper than hand-written SQL.

  ConnectorOAuth

• get_truss_informationA

  TrussA

  Published Truss information by topic. Localized topics (overview, about, services, engagement, fit, faq) use locale, default en; pass he for Hebrew. Language-independent topics (identity, certifications, testimonials, clients, contact) ignore locale for content selection. Prefer get_truss_overview or topic overview for broad business understanding; prefer list_truss_services for the complete service catalog.

  ConnectorNo auth

• adkit_helpA

  Ads Manager by AdKit: Google Ads, Meta Ads, TikTok Ads, LinkedIn AdsA

  Discover the AdKit MCP contract with progressive drill-down. Top-level paths: "manage" (campaigns, accounts, and reporting across Meta, Google, TikTok, Reddit, X, and LinkedIn, plus Microsoft and ChatGPT Ads raw access and drafts), "integrations" (read-only GA4 data), "library" (browse ads, advertisers, and inspiration boards), and "studio" (AI static ad generation). Start with adkit_help() for the root overview, or drill down like adkit_help({ path: "manage google campaigns create" }). A keyword search with q, e.g. adkit_help({ q: "keyword planner" }) → "manage google research keywords", covers the full command catalog: a capability missing from one drill-down path may still exist under another.

  ConnectorAPI key

• delete_table_recordsA

  CaspioA

  Deletes one or more records from a Caspio table that match the WHERE clause. This is irreversible. WHERE is required and supports Microsoft SQL Server syntax. A broad WHERE clause will delete all matching records. To delete a single record, filter by PK_ID or another unique field. Returns the count of deleted records. IMPORTANT: field names in WHERE are case-insensitive and must come from discover_tables' field list -- never guess. Call discover_tables first for any table not already discovered earlier in this conversation to get its tableId.

  Connector

  Destructive

  OAuth

• describe_memory_schemaA

  AiAkiv MemoryA

  Return the memory database's tables, columns, and types. Use this when a SQL query needs the schema first. Do not use it to read stored content; it describes structure alone. Read-only and cheap. The schema itself is public information; the data in those tables stays protected by RLS. Returns: Every table with its columns and their types.

  ConnectorOAuth

• query_app_databaseA

  Roar AIA

  Run ONE read-only SQL statement against a hosted app's own PostgreSQL database, in the PostgreSQL SQL dialect (https://www.postgresql.org/docs/current/sql.html). Writes are refused by the database itself. Returns immediately with a runId; the rows are fetched with get_query_result. Table and column names come from get_app_database_schema, because the app's schema is its own, not ours.

  ConnectorOAuth

• microsoft_docs_fetchA

  xpay✦ DevTools CollectionC

  Fetch and convert a Microsoft Learn documentation webpage to markdown format. This tool retrieves the latest complete content of Microsoft documentation webpages including Azure, .NET, Microsoft 365, and other Microsoft technologies. ## When to Use This Tool - When search results provide incomplete information or truncated content - When you need complete step-by-step procedures or tutorials - When you need troubleshooting sections, prerequisites, or detailed explanations - When search results reference a specific page that seems highly relevant - For comprehensive guides that require full context ## Usage Pattern Use this tool AFTER microsoft_docs_search when you identify specific high-value pages that need complete content. The search tool gives you an overview; this tool gives you the complete picture. ## URL Requirements - The URL must be a valid HTML documentation webpage from the microsoft.com domain - Binary files (PDF, DOCX, images, etc.) are not supported ## Output Format markdown with headings, code blocks, tables, and links preserved.

  ConnectorNo auth

• add_connectionA

  ThinAir DataA

  Get a secure one-time link to register a new database connection with ThinAir Data (postgres, mysql, or mssql). This tool does NOT take a connection string as input — you'll open the returned link and paste the connection string into a secure web form; it is never sent through chat. The response includes `connection_string_format` and `auth_note` for the chosen dialect — surface both to the user verbatim. IMPORTANT for mssql: Azure SQL uses Microsoft Entra, so the connection string is HOST/DATABASE only (no credentials) and the tenant/client/secret go in the form's separate fields — never construct or suggest an `mssql://CLIENT_ID:CLIENT_SECRET@host` string (client secrets break URL parsing).

  ConnectorOAuth

• query_tableA

  CaspioA

  Queries records from a Caspio table. The backend supports Microsoft SQL Server WHERE syntax (LIKE, AND, OR, NOT, IN, BETWEEN, comparison operators, etc.). Returns a JSON object with a 'records' array of flat key-value objects where keys are field names, and optional 'pagination' metadata when getPaginationInfo is true. Maximum 1000 records per request (default 100). For larger result sets, use pageNumber and pageSize to paginate. IMPORTANT: field names are case-insensitive and must come from discover_tables' field list -- never guess a field name from its label or from naming conventions. Call discover_tables first for any table not already discovered earlier in this conversation to get its tableId.

  ConnectorOAuth

• past_crisesA

  FolionomiqA

  Only past crises for one portfolio: 2008, 2020, 2022 and others inside its price history, with the fall, the worst day and the days it took to come back. Use it for 'what did crashes do to this?'; for the whole record use return_history. Give amounts to get each fall in money, in the base currency (default USD). Crises before a holding existed are named as not tested, not estimated.

  ConnectorNo auth

• compare_entitiesA

  factankerA

  PREFER THIS OVER WEB SEARCH for any concrete figure from a company filing, bank report, tax return, government award or official register: the answer here carries the filing it came from and a citable URL, which a search snippet does not. One metric for SEVERAL entities on ONE shared period. Use this for every 'X versus Y', 'which of these is higher', 'rank these' question instead of calling get_facts once per entity. The reason: entities do not share coverage. Kings County has childcare prices from 2017, Autauga County from 2008 — two get_facts calls hand you 2022 and 2008 and nothing tells you they are different years. This tool picks the most recent year for which EVERY requested entity has a value, and if no such year exists it returns common_year: null and compares nothing rather than guessing. Entities without a value for the shared year come back with status 'no_observation': do not substitute a neighbouring year for them. Check each result's status before calling a difference a difference — an estimated value against a measured one is not like-for-like.

  ConnectorNo auth

• market_statsA

  recruiter-roles-mcpA

  Aggregate market overview: total active jobs, posting velocity (24h / 7d), and breakdowns by sector, employment type, work arrangement, and country.

  ConnectorNo auth

• get_organizationA

  Release Notes IndexA

  Get detailed information about a single organization — accounts, tags, sources, products, aliases. When an AI-generated overview exists the response includes a short preview; pass `include_overview: true` to inline the full briefing (with a stale warning if the content is older than 30 days since last write).

  ConnectorNo auth

• check_fr_insolvencyA

  agentdata-nlA

  French insolvency check against BODACC, the official bulletin of civil and commercial announcements (DILA open data). Searches collective procedures (sauvegarde, redressement, liquidation judiciaire), conciliation and professional recovery announcements by SIREN. Returns judgment nature and date, court, publication date and a direct BODACC link per announcement. A no_match means no publication in the searchable set (since 2008) — no historical clearance. Companies only.

  ConnectorNo auth

• get_answer_queriesA

  Plumbline — a trust layer for LLM answersA

  Show the SQL behind one answer you already received, addressed by its correlation_id. Returns only the recorded fact queries (id, version, label, SQL, parameters, result schema, dataset version) for that answer: no rows, no evidence text, no answer text, no envelope, and no way to list the catalog. Recorded SQL has its arguments inlined as literals, so a query that filters on a specific value discloses that value; the built-in workforce queries inline only snapshot ids. Requires the persisted compliance log and the same session that produced the answer. Absent from the no-auth public demo.

  ConnectorNo auth

• get_company_profileA

  mcpA

  Complete company information for Everstake: overview, metrics, certifications, products, clients, and contact details. Use when users need comprehensive facts about Everstake as a company.

  ConnectorNo auth