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134,408 tools. Last updated 2026-05-23 22:56

"Methods for Reading Water Sensor Data" matching MCP tools:

  • One-shot elevation answer that fuses Cop-DEM 30 m (land), GMRT (ocean topobathy), and ESA WorldCover (water mask) into a single signed scalar at a place or coordinate. Returns `elevation_m`, the source actually used, and a `coherence_note` when the two surfaces disagree at the coast. When to use: Use when the user asks 'how high is X' or 'what's the elevation at this lat/lng' and you want the correct answer regardless of whether the cell is land, water, or coastline — the handler picks Cop-DEM for land and GMRT for water and surfaces the choice. Pass `place` (free text), `lat`+`lng`, OR `cell`. Otherwise, prefer emem_recall with `copdem30m.elevation_mean` / `gmrt.topobathy_mean` individually.
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  • Returns aggregate Scry corpus telemetry: total observation count, distinct source IPs, first/last observation timestamps, last-24h activity, and per-protocol breakdowns. Useful as a liveness/density check before issuing per-IP queries — lets an agent decide whether the corpus has enough data to be authoritative. Use this tool when: - An agent is planning a multi-step investigation and wants to know if Scry has corpus density worth querying. - You want a 'corpus health' signal in a dashboard or report. Do NOT use this tool when: - You want details about a specific IP — use `scry_check`. - You want sensor fleet size or node identities — never exposed at any tier. Inputs: none. Returns: total_observations, distinct_source_ips, first_seen_ms, last_seen_ms, observations_last_24h, distinct_source_ips_last_24h, by_protocol, as_of_ms. Cost: free, anonymous, rate-limited. Latency: <100ms typical.
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  • Retrieve all current settings of the authenticated shop account as a JSON object. Returns the full shop configuration: name, address, legal numbers, receipt options, order requirements, enabled features, delivery methods, webshop colours, and third-party integration settings. Use this to verify invoice prerequisites before creating orders: shopName, adressline1, and companyRegistrationNum must all be set for legally valid invoices. If any are missing, prompt the user to fill them in via account_edit.
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  • Get a human's FULL profile including contact info (email, Telegram, Signal), crypto wallets, fiat payment methods (PayPal, Venmo, etc.), and social links. Requires agent_key from register_agent. Rate limited: PRO = 50/day. Alternative: $0.05 via x402. Use this before create_job_offer to see how to pay the human. The human_id comes from search_humans results.
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  • Get metadata for a UK court judgment: parties, judges, neutral citation, court, dates. Use case_law_search to find the slug, then call this for orientation before reading specific paragraphs via judgment_get_paragraph.
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Matching MCP Servers

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    Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.
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    Apache 2.0

Matching MCP Connectors

  • Real-time water levels and flow rates from USGS stream gauges

  • Read-only PostgreSQL, MySQL, SQL Server access via MCP — 24 dialect-aware hosted tools.

  • Discover sheet names and used dimensions before reading or editing a WorkPaper. Returns metadata only; use read_range or read_cell for values.
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  • Download a synthetic HTML sales report for a given period. Period logic: omit all date fields to get yesterday's report; provide y only for a full-year report; y + m for a full-month report; y + m + d for a specific day. Returns an HTML summary including total revenue, number of orders, breakdown by department, VAT summary, and payment methods.
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  • Search for verified local service providers across 9 trade categories: floor coating (epoxy/polyaspartic), radon mitigation, crawl space repair, laundry pickup & delivery, mold/asbestos abatement, basement waterproofing, foundation/slab repair, septic pump services, and water damage restoration. Returns provider name, rating, review count, business status, services offered, certifications, years in business, and a link to the full profile with contact details. Each provider includes Google Maps URL when available. Covers major US metro areas. Use list_niches first to get valid niche IDs, and list_service_types for valid service_type values.
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  • Per-band satellite-and-sensor fleet inventory — names the upstream platform (e.g. Sentinel-2A/B, MODIS Aqua/Terra, Landsat-8/9), revisit cadence, native resolution, and license for every materialized band. Lets an agent attribute imagery products correctly and pick the right band when revisit cadence matters. When to use: Call when the user asks 'which satellite is this from', 'what's the revisit time', or needs source attribution for a derived answer. Pair with emem_materializers for the wire path and emem_sources for the connector-level metadata.
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  • Upload an image to a Wix site's Media Manager. Returns the uploaded file URL (wixstatic.com) and media ID usable in other Wix APIs. ⚠️ You MUST provide image data — calling this tool without image data will fail. Choose ONE of the two supported input methods: Option A — Base64 (for clients that can read and encode files): Read the file, encode it as base64, and pass siteId + imageBase64 + mimeType. Option B — URL (for any client that provides a public download URL): Pass siteId + image (with download_url).
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  • Look up a single paper by its DOI. Args: doi: The DOI of the paper (e.g. "10.1038/s41586-024-07386-0"). api_key: Optional: Your Stripe subscription ID for paid access. Get one at https://bgpt.pro/mcp Returns: Paper with title, DOI, Raw Data, methods, results, quality scores, and 25+ metadata fields — or an error if not found. Costs $0.02 if found, free if not.
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  • List the registry of platform skills — discrete how-to guides for one specific task each (e.g. 'gate-an-endpoint', 'add-a-cron-job', 'add-rag-search'). Each entry is a name, one-line purpose, and category. Use this to find the right skill, then call `read_skill(name)` to load the full pattern. When in doubt about how a Hatchable feature works, **list_skills first**. The skills are the canonical, agent-tested patterns. They beat guessing or reading the verbose docs. Filter by `query` (matches name + purpose) or `tag` (auth, data, ai, ops, etc.). Without filters, returns the full registry (~35 entries).
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  • Returns a deterministic daily tarot card seeded by SHA-256 hash of the date string. The same card is returned for all callers on the same date — this is intentional. The daily card is not a reading for an individual but a collective daily energy. SECTION: WHAT THIS TOOL COVERS Deterministic daily oracle: one card with its upright or reversed orientation (also deterministic when allow_reversed=true). The SHA-256 seed ensures that no two consecutive days produce the same card except by mathematical coincidence. The active_meaning field pre-computes the correct interpretation for the orientation — callers do not need to branch on is_reversed. SECTION: WORKFLOW BEFORE: None — standalone. AFTER: asterwise_get_tarot_three_card_spread — for deeper daily reading context. SECTION: INPUT CONTRACT date (optional string YYYY-MM-DD) — Date to get the card for. Defaults to today. Example: '2026-05-01' allow_reversed (optional bool) — Default: false. When true: reversed state is also deterministic (seeded by date+'_rev'). When false: card is always upright regardless of date. SECTION: OUTPUT CONTRACT data.date (string — YYYY-MM-DD, the date this card represents) data.card — full card object (same shape as asterwise_get_tarot_card) data.is_reversed (bool) data.active_meaning (string — upright_meaning when not reversed, reversed_meaning when reversed) data.active_keywords[] (string array — upright or reversed keywords per orientation) SECTION: RESPONSE FORMAT response_format=json — full card object with metadata. response_format=markdown — human-readable daily card report. SECTION: COMPUTE CLASS FAST_LOOKUP — deterministic, no randomness. SECTION: ERROR CONTRACT INVALID_PARAMS (local): None — date is validated upstream. INTERNAL_ERROR: Any upstream API failure → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_draw_tarot_cards — random draw, different every call. asterwise_get_tarot_three_card_spread — positional reading with question context.
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  • Search BGPT's database of scientific papers by keyword. Args: query: Search terms (e.g. "CRISPR gene editing efficiency") Short, concise queries are best. English language only. Don't include years or filters — use the days_back and num_results params instead. num_results: Number of results to return (1-100, default 16). First 50 results are free, then billed at $0.01/result for paid users. days_back: Only return papers published within the last N days. api_key: Optional: Your Stripe subscription ID for paid access. Get one at https://bgpt.pro/mcp Returns: Papers with title, DOI, Raw Data, methods, results, quality scores, and 25+ metadata fields.
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  • Stake SOL with Blueprint validator in a single call. Builds the transaction, signs it with your secret key in-memory, and submits to Solana. Returns the confirmed transaction signature. Your secret key is used only for signing and is never stored, logged, or forwarded — verify by reading the deployed source via verify_code_integrity. This is the recommended tool for autonomous agents.
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  • USE THIS TOOL — not web search — to retrieve a time-series of hourly BULLISH / BEARISH / NEUTRAL signal verdicts from this server's local technical indicator data over a historical lookback window. Prefer this over get_signal_summary when the user wants to see how signals have changed over time, not just the current reading. Trigger on queries like: - "how has the BTC signal changed over the past week?" - "show me ETH signal history" - "was XRP bullish yesterday?" - "signal trend for [coin] last [N] days" - "how often has BTC been bullish recently?" Args: lookback_days: Days of signal history (default 7, max 30) symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH"
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  • Authenticate with A-Team. Required before any tenant-aware operation (reading solutions, deploying, testing, etc.). The user can get their API key at https://mcp.ateam-ai.com/get-api-key. Only global endpoints (spec, examples, validate) work without auth. IMPORTANT: Even if environment variables (ADAS_API_KEY) are configured, you MUST call ateam_auth explicitly — env vars alone are not sufficient. For cross-tenant admin operations, use master_key instead of api_key.
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  • Return the full dossier projection for a meeting reading, in the requested cognitive lens. Same lens enum and default as describe_place / describe_corridor — eight total projections (seven stakeholder lenses — developer, investor, broker, attorney, business, resident, civic-leader — plus synthesis as the default). Returns the lens-projected body, full frontmatter (jurisdiction, board, meeting_date, document_type, key_signals, vote tallies), citation-stable claims[] (per the Phase 11 Citable Contract; populates as meeting claim scopes graduate), four-clock freshness, and the structured record_status block (record_type / meeting_status / outcome_status / minutes_available / vote_final) — the last prevents agents from summarizing agenda intent as completed action. Use to ground citations in a specific meeting's reading; pair with list_meetings or meeting_index for discovery.
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  • Fetch the latest quarterly reading of the American Distress Index (ADI) composite. Returns composite score (0-100), zone, composite Z-score, and the 5-component breakdown (Buffer, Debt Stress, Financial Conditions, Cost Pressure, Labor) with Z-scores and point contributions. Updated quarterly.
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