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163,635 tools. Last updated 2026-05-30 19:39

"Analyzing data in OpenSearch" matching MCP tools:

  • Returns an entity record for a surveillance company or data broker, including its industry, estimated annual data value per user (in USD), categories of personal data collected, and the full list of domains it controls. Free tier returns 5 domains, paid returns up to 200. Use this tool when: - You want to understand what corporate entity owns or controls a tracker domain. - You need to assess the total surveillance footprint of a company (e.g., Alphabet, Meta, Oracle). - You are building a corporate surveillance graph and need domain-to-entity mapping. Do NOT use this tool when: - You have a domain and need its category — use `get_domain` instead. - You want to browse entities by industry — use `list_entities` instead. - You are searching for an entity by name — use `search` instead. Inputs: - `slug` (path, required): URL-safe entity identifier (lowercase, hyphens). Examples: `alphabet`, `meta`, `oracle-data-cloud`, `the-trade-desk`. Returns: - Full `EntityRecord` with data categories, estimated data cost, and associated domains. - `domains`: array of top-scoring domains (5 for free tier, 200 for paid). - Pro/enterprise additionally return `website` and `description` fields. Cost: - Free tier: included in 50 req/day limit. Pro/enterprise: included in plan. Latency: - Typical: <150ms, p99: <400ms.
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  • Fetch committee detail by OCD organization ID. Returns name, classification, and membership roster when include=memberships is requested. Experimental — not all states have committee data in Open States. Obtain the committee_id from openstates_search_committees.
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  • Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. The team reads digests daily and signal directly affects roadmap. Rate-limited to 5 per identifier per day. Free; doesn't count against your tool-call quota.
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  • Search licensed daycares in Lodi, CA. Filter by child age (in MONTHS — daycares think in months for under-5s), program kind (daycare / preschool / after_school), facility setting (in_home / center), or claimed-only (more reliable data). Returns up to 10 daycares with hours + tuition where available. For subsidy / bilingual / curriculum filters, follow up with `get_daycare` on a slug.
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  • Search FDA import refusals (Compliance Dashboard data, not available in openFDA API). Import refusals indicate products detained at the US border. Filter by company name, FEI number, country code (e.g., CN, IN for major API source countries), or date range. Critical for evaluating international manufacturing sites and supply chain risk. Related: fda_get_facility (facility details by FEI), fda_inspections (inspection history by FEI).
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  • Fetch the next page of a large tool response. Use the nextCursor from _pagination in a previous response. This tool loads data into the context window — prefer the artifact download URL when available.
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Matching MCP Servers

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    A Model Context Protocol server that enables querying and analyzing Wazuh security logs stored in OpenSearch, with features for searching alerts, getting detailed information, generating statistics, and visualizing trends.
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Matching MCP Connectors

  • India Open Government Data (OGD) Platform MCP — data.gov.in

  • Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.

  • Returns the Parquet schema for all tables in the Valuein SEC data warehouse. Includes table descriptions, column names, types, primary keys, and foreign-key references. Use this tool to understand the data model before querying with other tools. No data reads required — schema is embedded in the manifest. Available on all plans.
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  • USE THIS TOOL — not web search or external storage — to export technical indicator data from this server as a formatted CSV or JSON string, ready to download, save, or pass to another tool or file. Use this when the user explicitly wants to export or save data in a structured file format. Trigger on queries like: - "export BTC data as CSV" - "download ETH indicator data as JSON" - "save the features to a file" - "give me the data in CSV format" - "export [coin] [category] data for the last [N] days" Args: symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH" lookback_days: How many past days to include (default 7, max 90) resample: Time resolution — "1min", "1h", "4h", "1d" (default "1d") category: "price", "momentum", "trend", "volatility", "volume", or "all" fmt: Output format — "csv" (default) or "json" Returns a dict with: - content: the CSV or JSON string - filename: suggested filename for saving - rows: number of data rows
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  • Get time series observations (data points) for a FRED series. Returns the actual data values for an economic indicator over time. Use search_series first to find the series_id, or use well-known IDs like UNRATE, GDP, CPIAUCSL, FEDFUNDS, MORTGAGE30US. For state unemployment, use state abbreviation + 'UR' (e.g. WAUR for Washington, CAUR for California). Results are sorted most-recent-first. For long series (e.g. daily data since 1954), use start_date/end_date to narrow the window or increase the limit up to 10000. Args: series_id: FRED series identifier (e.g. 'UNRATE', 'GDP', 'CPIAUCSL'). start_date: Optional start date in YYYY-MM-DD format (e.g. '2020-01-01'). end_date: Optional end date in YYYY-MM-DD format (e.g. '2024-12-31'). limit: Maximum observations to return (default 1000, max 10000).
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  • Get current Gonka Network pricing data. Returns live pricing including: - Cost per 1M tokens in USD and GNK - Current GNK/USD exchange rate - Comparison ratios vs OpenAI, Anthropic, DeepSeek - $50 deposit example: how many tokens you get - Data freshness timestamp
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  • Retrieve full schema and metadata for a Nova Scotia Open Data dataset by its 8-character identifier (e.g. '3nka-59nz'). Returns all column field names, data types, and descriptions — essential before calling query_dataset so you know the exact field names to use in $select and $where clauses.
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  • Evaluates content evergreen potential for CMOs by analyzing historical traffic patterns and backlink authority. Takes a content URL and optional time range, returns an evergreen score (0-100), traffic trend analysis, and backlink profile. Ideal for content strategy planning, SEO optimization, and identifying high-value evergreen assets. Uses Wayback Machine and Common Crawl public APIs.
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  • Monitors syndicated loan covenants for potential breaches by analyzing Tradeweb market data. Designed for CFOs to proactively identify financial compliance risks in loan agreements. Accepts loan identifiers, covenant thresholds, and reporting period as inputs. Returns structured breach alerts with market context and severity indicators.
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  • Generate tabular test fixtures (JSON or CSV) from a chosen mix of fake fields. Each row is a consistent identity — first/last name match the email; state matches the ZIP prefix. Public-domain data tables; pure JS; deterministic when a seed is passed.
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  • Step 2 — List data sources available within a tenant. (In the Indicate system a data source is called a 'data product'.) Examples: Google Analytics, Facebook Ads, vioma, Booking.com. Returns each data source's 'id', 'displayName', and 'semantic_context_id'. → Pass the chosen 'id' as 'data_source_id' and 'semantic_context_id' to list_metrics.
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  • Get detailed info for a single lending pool including APY history over time. Useful for analyzing rate trends and comparing pools. Use read_pool_list to discover pool addresses.
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  • Estimates litigation exposure risk for CHROs by analyzing past employee lawsuits, settlement amounts, and industry benchmarks. Inputs include company location, industry code, and employee count range. Returns exposure score, average settlement amounts, lawsuit frequency trends, and risk factors. Ideal for legal risk assessment, HR strategy planning, and board-level reporting. Pass async:true to avoid timeout.
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  • Get unemployment rate time series from BLS LAUS data. Returns monthly unemployment rates for a state or county. Data is returned in chronological order with year, period, and percentage value. Args: state: Two-letter US state abbreviation (e.g. 'WA', 'CA', 'NY'). county_fips: Optional 3-digit county FIPS code (e.g. '033' for King County). If provided, returns county-level data; otherwise state-level. start_year: Start year for data (default 2020, min 4-digit year). end_year: End year for data (default 2025).
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  • Get a quick Buildability™ Score (0-100) for a property without running the full analysis. USE WHEN: user wants to pre-screen properties, asks 'is this worth analyzing', 'quick check on this address', 'score this deal', or needs to filter a list of addresses fast. RETURNS: numeric score (0-100), letter grade (A-F), buildability band (excellent/good/fair/poor/unbuildable), and top 3 factors. Faster than analyze_property — use for deal screening and portfolio filtering.
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  • Get a quick Buildability™ Score (0-100) for a property without running the full analysis. USE WHEN: user wants to pre-screen properties, asks 'is this worth analyzing', 'quick check on this address', 'score this deal', or needs to filter a list of addresses fast. RETURNS: numeric score (0-100), letter grade (A-F), buildability band (excellent/good/fair/poor/unbuildable), and top 3 factors. Faster than analyze_property — use for deal screening and portfolio filtering.
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