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667,064 tools. Updated 2026-10-16 23:00

"Database Query and Information Retrieval" matching MCP tools:

  • 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
  • Run a READ-ONLY SQL query against the project's Postgres database (SELECT, EXPLAIN, etc.) — the Floot-managed database, or an external Postgres the user connected to the project. Writes are rejected — use execute_sql for those. Returns JSON: `{rows, rowCount, command, truncated?}` (or `{results: [...]}` for multi-statement queries). Pass `database` only if the project has more than one.
    ConnectorOAuth
  • Embed a text string into a 768-dim Gemini Flash vector. Use for HyDE-style retrieval: (1) write a hypothetical short paper that would perfectly answer the user's query, (2) embed it with task_type='RETRIEVAL_DOCUMENT' (default — matches the corpus embedding side), (3) pass the resulting embedding back through search-style tools to find real papers nearest to the hypothetical. task_type='RETRIEVAL_QUERY' matches the query side and is useful for direct user-query embedding without HyDE. Pro-only — requires an SF_API_KEY on a Pro account; anonymous and free callers get a 403 pro_required. Cost: ~$0.0001/call; rate-limited at 30/minute per API key.
    ConnectorNo auth
  • Retrieve and verify evidence from one public web URL using direct HTTP retrieval. Use when: the request is specifically about the content and provenance of a URL. Do not use when: evidence must be synthesized for a company (use siteborne_build_company_evidence_graph), extracted from an authorized document (use siteborne_extract_document_evidence_json), checked against an existing output contract (use siteborne_verify_agent_output), or the page requires JavaScript rendering (rendered retrieval is not available). Parameters: retrieval_mode must be direct; rendered is defined but unavailable and is rejected before any payment challenge, never substituted with direct retrieval. output_mode structured needs buyer_schema and field_selectors to be meaningful; redirect_policy and max_redirects bound redirect following; max_content_size bounds returned bytes; maximum_authorized_price only constrains payment and never changes retrieval scope. Behavior: open-world: a paid request performs bounded outbound HTTP retrieval of the target URL through a safe-egress boundary (private and loopback destinations are refused) and persists governed payment, audit, job and Workflow state; an unpaid request returns payment_required; a repeated identical request with the same payment is replay-protected and is not charged twice. Retrieval admission follows the governed runtime rate policy; no fixed public per-origin rate is promised. This service is currently production-disabled and rejects execution. Economics: exact price of $0.008 USD per request in direct mode; the payment challenge requires that amount and the charge settles at exactly that amount. rendered mode has a governed price of $0.029 USD but is not available: it is rejected before any payment challenge and never substituted. Failure: schema-invalid input and unavailable modes are rejected before any payment challenge; target-site errors, timeouts and unavailable retrieval return a structured MCP error and are never answered with a substitute result. Returns: normalized, source-attributed web context with verification and PCC evidence.
    ConnectorNo auth
  • Retrieve and verify evidence from one public web URL using direct HTTP retrieval. Use when: the request is specifically about the content and provenance of a URL. Do not use when: evidence must be synthesized for a company (use siteborne_build_company_evidence_graph), extracted from an authorized document (use siteborne_extract_document_evidence_json), checked against an existing output contract (use siteborne_verify_agent_output), or the page requires JavaScript rendering (rendered retrieval is not available). Parameters: retrieval_mode must be direct; rendered is defined but unavailable and is rejected before any payment challenge, never substituted with direct retrieval. output_mode structured needs buyer_schema and field_selectors to be meaningful; redirect_policy and max_redirects bound redirect following; max_content_size bounds returned bytes; maximum_authorized_price only constrains payment and never changes retrieval scope. Behavior: open-world: a paid request performs bounded outbound HTTP retrieval of the target URL through a safe-egress boundary (private and loopback destinations are refused) and persists governed payment, audit, job and Workflow state; an unpaid request returns payment_required; a repeated identical request with the same payment is replay-protected and is not charged twice. Retrieval admission follows the governed runtime rate policy; no fixed public per-origin rate is promised. This service is currently production-disabled and rejects execution. Economics: exact price of $0.008 USD per request in direct mode; the payment challenge requires that amount and the charge settles at exactly that amount. rendered mode has a governed price of $0.029 USD but is not available: it is rejected before any payment challenge and never substituted. Failure: schema-invalid input and unavailable modes are rejected before any payment challenge; target-site errors, timeouts and unavailable retrieval return a structured MCP error and are never answered with a substitute result. Returns: normalized, source-attributed web context with verification and PCC evidence.
    ConnectorNo auth
  • Change how much memory an app's managed database gets. Call this when the database is slow or out of memory. db_ram_mb must be one of the sizes get_resource_usage reports under db_ram.steps_mb and fit your database-RAM pool. WARNING: the database restarts briefly to apply the new size, so the app loses its database connection for a few seconds. Only works if the app has a managed database.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    A versatile tool that enables querying and exporting data from multiple relational databases (MySQL, PostgreSQL, Oracle, SQLite, etc.) in read-only mode for data safety.
    13
    Apache 2.0
  • A
    license
    A
    quality
    D
    maintenance
    A black-box flight recorder for RAG retrieval inside MCP agents. Logs what chunks the model saw, scores, sources, and rankings - so you can audit, replay, and diff retrieval runs after the fact.
    4
    7 npm
    2
    MIT

Matching MCP Connectors

  • Search a database of recipes using hybrid semantic search (dense + sparse) with reranking. The database contains ~50,000 recipes from Food.com covering a wide range of cuisines, meal types, and cooking styles. Recipes include nutritional information, difficulty ratings, and user ratings. Use natural language in the query to describe what you are looking for — cuisine, style, main ingredient, occasion, or mood all work well. Norwegian and English are both supported natively. Examples: 'quick Italian pasta for weeknight dinner' 'Swedish meatballs with gravy' 'healthy high-protein chicken bowl' 'easy chocolate cake for beginners' 'something with salmon and lemon' 'Indian curry chicken' 'traditional Norwegian kjøttkaker' 'hurtig pasta med kylling' 'enkel sjokoladekake' Args: query: What you are looking for — describe the dish, cuisine, main ingredient, cooking style or mood freely. Any language is supported. diet: Optional — filter by dietary requirement: 'vegetarian', 'vegan', 'gluten-free', 'dairy-free', 'low-carb', 'keto', 'paleo' max_minutes: Optional — maximum total time in minutes, e.g. 30 difficulty: Optional — 'easy', 'medium' or 'hard' servings: Optional — not used for filtering (servings vary), but include in query for scaling context, e.g. 'pasta dish for 6 people' limit: Number of results to return after reranking (default 5, max 20) Returns: List of recipes ranked by relevance. Each result includes rerank_score, rrf_score (hybrid fusion), title, total_time, difficulty, diet labels, ingredients, instructions, nutrition, rating, and source URL context.
    ConnectorNo auth
  • Returns the technical stack Makuri is built on, including frontend, backend, database, AI providers used, and data residency information. Use when the user asks how Makuri is built or which AI models it uses. 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.
    ConnectorNo auth
  • List the capability slugs an agent can filter or look up by (e.g. 'send-email', 'query-database'), most-populated first. Use these with get_capability or search_servers' capability filter — the taxonomy isn't guessable.
    ConnectorNo auth
  • Look up Indian financial products and terms in FinanceGenius.AI's catalogue. Hybrid retrieval (BM25 + semantic + product database, fused with Reciprocal Rank Fusion) over our product records. Good for questions anchored to real products: 'which HDFC cards waive the annual fee?', 'what does the Bajaj FD pay for 3 years?', 'ELSS options with a 3-year lock-in'. Not a general financial encyclopedia: the curated explainer knowledge base is not loaded in production, so abstract questions ('how does APR work?') fall back to product matches. Say so rather than dressing a product listing up as an explanation. Args: query: The financial question or concept to explain. institution: Optional — narrow search to one institution (e.g. 'hdfc-bank').
    ConnectorNo auth
  • List every wiki page the caller can see in the key's workspace. Returns a list of ``{category, name, title}`` records — feed each one to ``get_page`` to fetch the full markdown body. Use this first when you want a directory view; for a specific question prefer ``query`` which handles retrieval for you.
    ConnectorAPI key
  • Retrieve matching skills from the verified local AAS catalog in stable catalog order, without relevance scores, ranking, recommendations, or local-state changes. Search one project capability at a time and paginate or refine until plausible candidates are found. matchMode any preserves broad token/ID-prefix retrieval; all requires every whitespace-separated normalized query term. requiredTerms always requires each supplied token. Caller-supplied categories match any normalized category; tags require every tag. Omit filters and query to reach the complete catalog. Results explain matched terms without choosing skills.
    ConnectorNo auth
  • Search every connected Notion workspace for pages/databases the integration can see (reach = whatever was explicitly shared with it inside Notion — there is no OAuth scope to grant more). `query` matches page/database titles; omit it to list everything shared. Returns each hit's account (workspace name), id, title, url, last_edited_time, and object ('page'|'database'), newest-edited first. Accounts without a matching label are reported in `errors`. Call read_notion_page with a hit's `id` to get its text content.
    ConnectorOAuth
  • Search Cochrane systematic reviews via PubMed. Finds Cochrane Database of Systematic Reviews articles matching your query. Returns PubMed IDs, titles, and publication dates. Use get_review_detail with a PMID to get the full abstract. Args: query: Search terms for finding reviews (e.g. 'diabetes exercise', 'hypertension treatment', 'childhood vaccination safety'). limit: Maximum number of results to return (default 20, max 100).
    ConnectorNo auth
  • Search the company's connected knowledge across every source — Drive, SharePoint, Confluence, Slack, Notion — with cited synthesized answers, lifecycle awareness, and refusal-on-weak-context. Returns a written answer with [n] citations plus the ranked source chunks. Modes: `fast` (1,500 kT — retrieval-only, no synthesis), `standard` (12,500 kT — default; synthesized answer over the top retrieval set), `deep` (25,000 kT — wider retrieval + premium synthesis for complex questions). Pick the cheapest tier that answers the question. Responses are capped at 25,000 output tokens per Claude Connectors policy; if truncated, structured metadata carries `truncated: true` and `query_id` so the agent can call `get_source_detail` for full provenance.
    ConnectorNo auth
  • Deletes a managed Postgres database and its underlying VM. Pass the numeric database id from list_databases. This cannot be undone.
    Connector
    Destructive
    No auth
  • Acknowledge an intentional retrieval restriction for only the exact URLs displayed in an audit finding. Requires explicit customer confirmation and actions.write. Preserves the finding, evidence and score. Never infer customer intent.
    ConnectorAPI key
  • Reconsider an intentional retrieval restriction for only the exact URLs displayed in an audit finding. Requires explicit customer confirmation and actions.write. Preserves the finding, evidence and score. Never infer customer intent.
    ConnectorAPI key
  • Search the CVE corpus — one entry point, three retrieval modes picked from your arguments: - query= a concept / technique / weakness (e.g. "SSO SAML assertion replay", "deserialization gadget chain", "server-side request forgery cloud metadata"). By default it FUSES full-text keyword search AND semantic mechanism-search, so you don't have to guess whether your phrasing is lexical or conceptual. order='relevance' = keyword only; order='similarity' = semantic only; order='severity' = fuse then rank P1>P4. - cve_id= a seed CVE (e.g. "CVE-2021-44228") -> its mechanism-siblings across OTHER products (the "what else looks like this?" move). - days= and/or product= (with NO query) -> the recent high-risk window (KEV / P1-P2 / high-EPSS); product= is CPE-name-resolved and each hit carries match.products. Returns ranked cards (each with priority/KEV/EPSS/CWE) + total_matches for coverage; the 'mode' field reports which retrieval ran. You decide which matches matter. (For a specific product's version-resolved vulns use hunt_plan; for how bugs like this were FOUND in disclosed reports use find_attack_approaches.) Args: query: free-text concept / keyword / CWE. cve_id: seed CVE for semantic mechanism-sibling search. cwe: optional weakness filter, e.g. "CWE-502" or "502". days: recency filter on publication date. product: product filter for the recent-window mode (CPE-name-resolved, carries provenance). order: relevance | similarity | severity (default: fused when query is text). limit: max results.
    ConnectorNo auth
  • Load a new task briefing when switching tasks within an existing session: context describes the new goal, repo scopes memory, and file adds a search hint without reading files. Returns Markdown with ranked workspace/public memories, retrieval depth/expansion hints and optional checklists. Records retrieval telemetry without editing memories. Use engram_start for a new session, engram_rehydrate for lost session context, engram_recall for a single question, and engram_get_context for category-based repository inspection. OAuth scope: memory:read.
    ConnectorOAuth
  • Semantic (vector similarity) search across blog posts and projects — the same Cloudflare Vectorize retrieval the Ask chatbot uses, without the LLM call. Broader than search_posts (which only does exact substring matching on title/description/tags): finds conceptually related content even when the query words never appear verbatim. Returns scored chunks with deep-link URLs.
    ConnectorNo auth