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471,171 tools. Updated 2026-08-23 22:35

"A system for querying databases using natural language" matching MCP tools:

  • 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.
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  • Find fashion brands using natural language, structured filters, or both. Best for queries like "Italian streetwear brands", "Scandinavian minimalist brands", "Japanese technical outerwear", "brands with avant-garde tailoring", or qualified similarity such as "brands like Rick Owens for technical outerwear". For a plain "brands like X" request, use find_similar_brands. Country adjectives ("Italian", "Scandinavian", "Nordic", "Japanese", "Iberian", "Benelux") are parsed server-side into shipping-origin filters; you don't need to translate them to ISO codes. `query` is optional — provide a query, structured filters, or both. Brand country/shipping signals are best-effort and separate from product availability.
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  • Deep-dive ONE market before building or investing — the market is the semantic neighbourhood of your natural-language query (nearest providers by text embedding, NO fixed category). Every field is MEASURED: the observed-pricing benchmark separated by provider type and buyer tier (median, mean, stdev, p25/p75, min–max range and n via the canonical pricing engine), how many providers are in the neighbourhood and how many are priced, and the top providers already competing there with their observed price and relevance. Pass `query` (a natural-language capability or market, e.g. 'customer support chatbot'). For market + pricing + a ready shortlist in one call, use research_capability.
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  • Search the Axint Registry for already-published packages that match a natural-language query. Use this BEFORE calling axint.feature or axint.compile so the agent can install an existing package instead of regenerating Swift the community has already shipped. Use: use before generating code to find reusable packages; not for validating local Swift. Inputs: query drives ranking; kind and platform narrow results without changing the registry source. Effects: read-only local registry search using AXINT_REGISTRY_PATH or sibling checkout; no network by default.
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  • Search 500+ quantum computing job listings using natural language. Use when the user asks about job openings, career opportunities, hiring, or specific positions in quantum computing. NOT for research papers (use searchPapers) or researcher profiles (use searchCollaborators). Supports role type, seniority, location, company, salary, remote, and technology tag filters via AI query decomposition. Limitations: quantum computing jobs only, last 90 days, max 20 results. Promoted listings appear first (marked). After finding jobs, suggest getJobDetails for full info. Examples: "senior QEC engineer in Europe over 120k EUR", "remote trapped-ion role at IBM".
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  • Free geography utility. Checks a bounded sample of identifiers against maintained reference indexes and geometry banks. LLM clients must extract identifier values from the user's natural-language request and pass them as strings; do not put the prose question in the arguments, and preserve leading zeros. Use it when a caller has geography keys but is unsure which system, level, or bank they belong to, or wants to verify a declaration such as 2020 US Census tract GEOIDs. Returns ranked candidates, deterministic warnings, machine-readable clarification questions when evidence is incomplete or ambiguous, exact match and shape-availability counts, and a recommended geography_binding for estimate_conversion_job. It does not convert the full dataset or return polygons. No payment required.
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Matching MCP Servers

  • F
    license
    Not graded
    quality
    C
    maintenance
    Enables LLMs and agents to interact with relational databases (SQL Server, MySQL, PostgreSQL) through MCP tools. Supports executing queries, inserting records, listing tables, and exposing database schemas with secure credential management.

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  • FEMA disasters, NOAA weather alerts, USGS earthquakes. 4 tools.

  • Build and manage your design system with AI: tokens, themes, components, icons, Figma and code.

  • Search the Sovereign AI Blog for articles matching a natural language query, optionally filtered by tag and sorted by relevance or date. Behaviour matrix: - query='', sort=* -> list newest-first, optionally tag-filtered - query!='', sort=relevance -> TF-IDF ranked, optionally tag-filtered - query!='', sort=date_desc -> TF-IDF filtered (score > 0.001), then sorted by date Pure read-only, deterministic for a given KB snapshot.
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  • Search for works in the Digital Collections using field-based and/or natural language queries. If both a natural language query and specific field values are provided, the natural language query will take priority, using the specified field values as additional constraints. The result will also include a list of aggregations that show how many results match different values for certain fields. For example, you could see how many results match each collection, work type, or visibility and use that information to refine your search. Perform an empty search to retrieve all works and their aggregations. NOTE: Structured field values enclosed in double quotes will be treated as exact, case-sensitive matches, while unquoted values will be treated as full-text searches.
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  • Search the Sovereign AI Blog for articles matching a natural language query, optionally filtered by tag and sorted by relevance or date. Behaviour matrix: - query='', sort=* -> list newest-first, optionally tag-filtered - query!='', sort=relevance -> TF-IDF ranked, optionally tag-filtered - query!='', sort=date_desc -> TF-IDF filtered (score > 0.001), then sorted by date Pure read-only, deterministic for a given KB snapshot.
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  • NO AUTH / PUBLIC / READ-ONLY. Gets detailed metadata and exact selector variations for one already-known dataset-native parameter code. Parameter codes are case-sensitive. For a common natural-language concept such as 2 metre temperature, use gribstream_resolve_shared_parameter before guessing a native code. This tool does not query weather values and cannot return forecast data.
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  • 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.
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  • Search the Datanest catalogue of digital technical products. Accepts natural-language intent queries (e.g. "add authentication to my SaaS", "reduce my AWS bill", "prepare for a system design interview") — stopwords and phrasing are handled, and synonyms are expanded. Returns concise product cards ranked by relevance, with stable canonical URLs. If a query matches little, the result includes suggestions/did_you_mean/available_domains so you can refine. Read-only and public. By default only agent-purchasable products are returned; set include_unsellable=true to also surface unaudited/deprecated items (clearly flagged, not buyable).
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  • Free geography utility. Checks a bounded sample of identifiers against maintained reference indexes and geometry banks. LLM clients must extract identifier values from the user's natural-language request and pass them as strings; do not put the prose question in the arguments, and preserve leading zeros. Use it when a caller has geography keys but is unsure which system, level, or bank they belong to, or wants to verify a declaration such as 2020 US Census tract GEOIDs. Returns ranked candidates, deterministic warnings, machine-readable clarification questions when evidence is incomplete or ambiguous, exact match and shape-availability counts, and a recommended geography_binding for estimate_conversion_job. It does not convert the full dataset or return polygons. No payment required.
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  • 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.
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  • 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`.
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  • Resolves natural-language country or region names (including aliases and abbreviations) against SupplyGraph’s internal geography registry and returns a list of standardized region names for downstream agent and MCP tool consumption. Pricing: {"unit": "credits", "billing_model": "per_run", "per_run": 1}
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  • Structured natural-language explanation of why a Hlido-reviewed agent has its current score. Pulls claim-by-claim evidence from the published scorecard. Pass an optional dimension (one of: reliability, transparency, integration, security, evidence) to filter; omit for the full picture. Returns each claim with verdict (PASS|FAIL|PARTIAL|UNKNOWN), a quoted evidence snippet, plus a top-line synthesis.
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  • Project staking rewards before committing capital. Returns reward projections (daily/monthly/annual/total), effective APY (equal to the stated APY, since total_apy is already an annual yield), activation timing, fee reserve guidance, and a natural-language recommendation. Use this to help decide how much to stake and for how long.
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  • Search NavMDs' 7,400+ doctor directory with a natural-language query, e.g. 'board-certified facelift surgeon in Los Angeles with great reviews and free consults'. Powered by Gemini embeddings + cosine similarity over full doctor profiles. Best tool for open-ended or multi-attribute questions.
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