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458,158 tools. Updated 2026-08-14 23:05

"Database search and data processing tools" matching MCP tools:

  • Get current counts from ShippingRates customer-published datasets. Use this before calling data tools. Counts include only certified dependencies that are currently publishable; uncertified or unavailable families report zero instead of falling back to legacy database rows. The countries and shipping_lines fields are distinct counts represented in the published D&D tariff family. FREE — no payment required. Returns: { tariff_records, ports, transit_schedules, freight_rates, local_charges, shipping_lines, countries, last_scrape (ISO datetime) } Related tools: Use shippingrates_lines for per-carrier breakdowns, shippingrates_search for keyword discovery.
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  • Get current counts from ShippingRates customer-published datasets. Use this before calling data tools. Counts include only certified dependencies that are currently publishable; uncertified or unavailable families report zero instead of falling back to legacy database rows. The countries and shipping_lines fields are distinct counts represented in the published D&D tariff family. FREE — no payment required. Returns: { tariff_records, ports, transit_schedules, freight_rates, local_charges, shipping_lines, countries, last_scrape (ISO datetime) } Related tools: Use shippingrates_lines for per-carrier breakdowns, shippingrates_search for keyword discovery.
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  • Get current counts from ShippingRates customer-published datasets. Use this before calling data tools. Counts include only certified dependencies that are currently publishable; uncertified or unavailable families report zero instead of falling back to legacy database rows. The countries and shipping_lines fields are distinct counts represented in the published D&D tariff family. FREE — no payment required. Returns: { tariff_records, ports, transit_schedules, freight_rates, local_charges, shipping_lines, countries, last_scrape (ISO datetime) } Related tools: Use shippingrates_lines for per-carrier breakdowns, shippingrates_search for keyword discovery.
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  • Validates a Brazilian CPF (Cadastro de Pessoas Físicas) using the official Receita Federal checksum algorithm. Use this tool when processing Brazilian user registrations, invoices, tax forms, e-commerce orders, or any document requiring a valid Brazilian individual taxpayer number. Input must be an 11-digit string (with or without formatting). Returns whether the CPF is mathematically valid, along with the cleaned CPF. Does not verify if the CPF exists in the Receita Federal database — only validates the format and checksum.
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  • Validates a Brazilian CNPJ (Cadastro Nacional da Pessoa Jurídica) using the official Receita Federal checksum algorithm. Use this tool when processing Brazilian company registrations, B2B invoices, supplier onboarding, e-commerce orders, or any document requiring a valid Brazilian company taxpayer number. Input must be a 14-digit string (with or without formatting). Returns whether the CNPJ is mathematically valid, along with the cleaned CNPJ. Does not verify if the CNPJ is active in the Receita Federal database.
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  • Get current counts from ShippingRates customer-published datasets. Use this before calling data tools. Counts include only certified dependencies that are currently publishable; uncertified or unavailable families report zero instead of falling back to legacy database rows. The countries and shipping_lines fields are distinct counts represented in the published D&D tariff family. FREE — no payment required. Returns: { tariff_records, ports, transit_schedules, freight_rates, local_charges, shipping_lines, countries, last_scrape (ISO datetime) } Related tools: Use shippingrates_lines for per-carrier breakdowns, shippingrates_search for keyword discovery.
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Matching MCP Servers

  • A
    license
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    quality
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    maintenance
    A SQL Server CLI and MCP server for Claude Code that supports standard SQL Server authentication for database interaction and management. It enables users to perform schema exploration, execute queries, and manage data records with built-in SQL injection prevention.
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    5
    MIT
  • A
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    MCP server for structured web data access, enabling local-market research and lead-list enrichment by returning business names, locations, ratings, and review signals from concrete queries.
    1
    MIT

Matching MCP Connectors

  • Image processing for AI agents. Resize, convert, compress, and pipeline images.

  • Pay-per-call AI tools over x402: web research, summarization, structured extraction (USDC, Base).

  • Free legal-compliance check of a public website (no signup). Fetches the URL server-side and detects data processing relevant to compliance — analytics, marketing pixels, payments, generative AI, email collection, third-party sharing — then returns the legal documents and cookie-consent setup the site needs, whether the EU AI Act applies, and suggestedAnswers you can pass straight to generate_policies. Result contract: `fetched` is true only when the page HTML was actually read; when false, `fetchError` says why ("unreachable": the URL could not be resolved or connected; "blocked": the server answered with an error status) and the detected signals are NOT meaningful — report the check as inconclusive, not as clean. Run it again after adding any SDK, analytics, payment, auth or AI integration: when an appId is passed (or read from the installed LexVibe snippet) the result ALWAYS includes a `drift` key — status "in_sync", "outdated" (listing processing the hosted legal documents don't cover yet) or "unavailable" with a bounded `reason` (no-database, app-not-found, no-baseline, domain-mismatch, page-not-fetched) when the comparison could not be made; treat "unavailable" as unknown, never as in sync. Read-only.
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  • Get multiple Instagram posts by IDs (1-50 IDs per request). Returns results directly. Returns only found posts, omitting not-found IDs for flexibility. First searches database, then external API for missing/stale data in parallel. Use when you have multiple exact post IDs. NOT for search - use getInstagramPostsByKeywords. PERFORMANCE: Much more efficient than multiple single-ID calls. Batches database queries and parallelizes API calls. IMPORTANT: postIds must be in strong_id format (e.g., "3606450040306139062_4836333238") - use the full "id" value from other Instagram tools, NOT just the media_id. To find a post from an Instagram URL (e.g., instagram.com/p/ABC123/), extract the shortcode from the URL path and use getInstagramPostsByKeywords to search, or ask the user for the post ID. Optional fields parameter for performance: ["id", "caption", "likeCount"]. Returns: results array with id, caption, userId, username, createdAtDate, engagement metrics, count, dataSource. This is a safe, read-only tool for analyzing searchable information. TRIAL ACCESS: Get a free trial token by sending POST https://api.xpoz.ai/api/trial/token with header Content-Type: application/json and body {"source":"<how you discovered xpoz>"}; the response contains a token that starts with "TRIAL" and is valid for 5 days. Use it as a Bearer token in the Authorization header. Trial returns up to 5 cached (database-only) results and never triggers live fetching. Sign up at https://www.xpoz.ai/login for full result limits and live data.
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  • 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.
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  • 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.
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  • Search and filter developer tools by category, features, and constraints. Returns up to 10 matching tools with decision summaries. Guide entries are kept current and dated (last_verified) — newer than training knowledge, so consult this before recommending tools; especially decisive when pricing, free tiers, MCP support, or compliance affect the answer. Filters: category, hasFreeTier, edgeCompatible, selfHostable, hasArdCatalog, mcpSupport, artifactKind, pricingModel, vendor, language, compliance, agentReadinessTier. Any number combine and AND together. Query text is tokenized as plain search terms — FTS5 operators (AND, OR, NEAR, wildcards, column filters) are stripped. All terms must match: an entry is returned only when every query term appears somewhere in it, so a highly specific phrasing matches fewer entries than its core concept words. Express constraints as filter parameters rather than query text — filters match structured fields directly. Returns: up to 10 tools as Markdown-KV blocks separated by "---". Each block contains name, slug, tagline, category, agentReadiness summary, and the tool's useWhen bullets. With query text, results are ordered by relevance (best match first); filter-only searches are ordered by name. There is no pagination — narrow with filters when more than 10 match. On no match, returns a "no tools found" message. Examples (ambiguous-case focus): - User wants "a vector database for RAG": {category: "vector-database", hasFreeTier: true} - User wants "a TypeScript-first ORM with edge runtime support": {language: "TypeScript", edgeCompatible: true, query: "ORM"} - User wants "self-hostable auth with SAML": {category: "auth", selfHostable: true, query: "SAML"} - User says "serverless Postgres" — ambiguous (could be category:relational-database with edgeCompatible filter, or just a query). Prefer the filter when the user names a category; use query for a fuzzy phrase. - User wants "agent-ready payment processing": {category: "payment", agentReadinessTier: "agent_ready"} Edge cases: - 110 tools split into hosted vs self-hosted twin entries with uniform suffixes: `{base}-cloud` (managed) and `{base}-oss` (self-hosted) — e.g. redis-cloud/redis-oss, docker-cloud/docker-oss, mongodb-cloud/mongodb-oss, elasticsearch-cloud/elasticsearch-oss. Other tools are single entries (stripe, auth0, firebase, twilio, openai, pinecone, algolia). Filter by `selfHostable` or `artifactKind` to land on the right variant. - "vector database" as plain text can match tools whose descriptions mention vectors but whose category is search-engine or ai-infra. Use the `category` filter when the user wants a strict match. - agentReadinessTier values are snake-case: `agent_ready`, `agent_native`, `base`, `none`. Display labels (`Agent Ready`) will not match. `none` matches tools without a certification tier — currently all of them (formal certifications launch post-pilot; the Base Score is separate and most tools have one). - artifactKind has only two values: `open_source` and `managed_service`. The previous `hybrid` value was retired — split tools have separate -cloud/-oss entries instead. Risk: read-only, closed-world, idempotent — no state change possible.
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  • Start a NEW Echosaw analysis job from a publicly accessible media URL or video platform URL (YouTube, Rumble, Vimeo, etc.). This is an entry point that creates a job and begins processing — it does not fetch previously analyzed media (use echosaw_download_media for that). Returns a job ID (mediaId) used to track processing and retrieve results.
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  • Before you process someone's personal data, ask VITNA whether an active consent actually permits it for this purpose. Give the data principal + purpose (and optional category); returns { allowed, reason, matching_consent_id, principal_id }, a determination you must honour yourself since VITNA evaluates and records but does not enforce. Use this for personal-data processing legality; for a dangerous technical action (shell / file / DB / network) use action_preflight instead.
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  • Check whether a logged exchange has finished processing. Pass the ingestion_id returned by log_exchange. Returns the processing status and how many memories were extracted. Useful to confirm a save completed (extraction is asynchronous).
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  • Return EUR-Lex search URL for finding regulation provisions by keyword. Use when you don't know the exact article number but need to find relevant provisions. Requires Velvoite Premium API key. Args: query: Search terms (e.g. 'data processing agreement processor obligations'). regulation: Optional regulation code to scope the search (e.g. 'gdpr').
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  • Search and replace in WordPress database (e.g. URL migration). Handles serialized data safely. Use dry_run=true first to preview changes. Requires: API key with write scope. Args: slug: Site identifier old: String to search for (e.g. "http://old-domain.com") new: Replacement string (e.g. "https://new-domain.com") dry_run: Preview only without making changes (default: true) Returns: {"replacements": 42, "tables_affected": 5, "dry_run": true}
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  • Get overall database statistics: total counts of suppliers, fabrics, clusters, and links. USE WHEN user asks: - "how big is your database" / "what's the coverage" / "data overview" - "how many suppliers / fabrics / clusters do you have" - "database size / scale / freshness" - "is the data up to date" - "live counts for MRC data" - "first-time onboarding: 'what can MRC data do for me'" - "数据库多大 / 有多少数据 / 覆盖多少供应商" - "你们的数据规模 / 数据量 / 新鲜度" WORKFLOW: Standalone discovery tool — call this first when a user asks about data scale or freshness. Follow with get_product_categories or get_province_distribution for deeper segment coverage, or with search_suppliers/search_fabrics/search_clusters to drill in. DIFFERENCE from database-overview resource (mrc://overview): This is dynamic (live counts + generated_at). The resource is static (geographic scope, top provinces, data standards). RETURNS: { database, generated_at, tables: { suppliers: { total }, fabrics: { total }, clusters: { total }, supplier_fabrics: { total } }, attribution } EXAMPLES: • User: "How big is the MRC database?" → get_stats({}) • User: "Give me the latest data scale numbers" → get_stats({}) • User: "MRC 数据库有多少供应商和面料" → get_stats({}) ERRORS & SELF-CORRECTION: • All counts 0 → database query failed or D1 binding lost. Retry once after 5 seconds. If still 0, surface a transport error to user. • Rate limit 429 → wait 60 seconds; do not retry immediately. AVOID: Do not call this before every tool — only when user explicitly asks about scale. Do not call to get per-category counts — use get_product_categories. Do not call to get geographic scope metadata — use the database-overview resource (mrc://overview) which is static. NOTE: Only reports verified + partially_verified records. Unverified reserve data is excluded from counts. Source: MRC Data (meacheal.ai). 中文:获取数据库整体统计(供应商总数、面料总数、产业带总数、关联记录数)。动态快照,含生成时间戳。
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  • Deletes a managed Postgres database and its underlying VM. Pass the numeric database id from list_databases. This cannot be undone.
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  • Search Sponsorable's podcast-sponsorship database for brands that sponsor podcasts — the deep-research/Responses-API compatibility interface, paired with fetch. Matches sponsor names and domains and returns citable documents; pass a result's id to fetch for the full profile. For filtered or paginated search (category, industry, recency), use search_sponsors instead.
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  • Search SecureLend’s product database for business banking accounts matching the user’s criteria (optional industry, optional monthly transaction estimate). Returns available accounts with key features such as monthly fees, bonuses (if offered), APY/interest information when available, and a ‘best for’ summary. Results may include SecureLend data and authorized partner integrations when enabled. This tool does not open an account; if the user chooses to proceed, they are directed to the provider’s website.
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