"Methods for Conducting In-Depth Searches" matching MCP tools:

• competitive_deep_dive_async

  mcp-knowledge

  Async variant of competitive_deep_dive. Returns immediately (<200ms) with a job_id. The research runs in the background (p50≈25s, p95≈30s for depth=medium). Poll the result with competitive_deep_dive_result(job_id) after the eta_seconds hint. Use this instead of competitive_deep_dive when the agent cannot wait >15s for a response. Inputs: same as competitive_deep_dive — company (required), competitors (optional list, max 5), depth (easy/medium/hard, default medium). Async tool — register a webhook via `webhooks_manage(register, url, [job.completed])` to receive callbacks instead of polling. Faster + lighter.

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• contrast_scan

  ContrastAPI

  Active website security scan: runs the ContrastScan C engine (11 modules — HTTP security headers, SSL/TLS, DNS, redirect chain, information disclosure, cookie flags, DNSSEC, HTTP methods, CORS, HTML hygiene, deep CSP analysis) against the live site and enriches the raw result with severity-ranked vulnerability findings and a letter grade. Use for a hands-on misconfiguration scan; use audit_domain for passive recon (DNS/WHOIS/SSL/threat intel) and scan_headers for headers only. Active outbound fetch — a per-target eTLD+1 throttle (60 req/min) applies. Free: 30/hr (costs 6 tokens), Pro: 500/hr. Returns {domain, resolved_ip, total_score, max_score, grade, findings, findings_count, headers, ssl, dns, redirect, disclosure, cookies, dnssec, methods, cors, html, csp_analysis, enterprise, summary, next_calls}.

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• get_full_text

  Pubmed

  Fetch the FULL TEXT of a biomedical paper from PubMed Central (the open-access subset) by PubMed ID. PREFER OVER get_abstract when you need methods/results/discussion, not just the abstract — "read the full paper", "what methods did <PMID> use", "extract details from the paper". Resolves the PMID to its PMC id and returns the article body text (capped ~40k chars). Only open-access articles are in PMC — returns has_full_text:false (use get_abstract) otherwise.

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• account_show_infos

  Kash.click

  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_nist_ai_rmf_requirements

  Stratalize Governance

  Use when conducting an AI risk management gap assessment, building board-level AI governance documentation, preparing for a model risk examination, or aligning an AI program with federal regulatory expectations. NIST AI RMF 1.0 is the US federal standard for AI risk management — adopted by reference in the Executive Order on Safe AI and aligned with Federal Reserve SR 26-2, OCC model risk guidance, and FDIC requirements. Returns all four functions (GOVERN, MAP, MEASURE, MANAGE) with categories, subcategories, and implementation guidance. Example: GOVERN function requires board-level AI policy, documented accountability structures, and AI risk culture assessment — the first control examiners check in a model risk review. Source: NIST AI RMF 1.0.

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• adaptive-tdee

  Fitness Tools

  Measure actual TDEE from a logged history of daily weight and/or calorie intake. Default method (kalman) is a joint Kalman filter over true weight and TDEE — handles missing days, gates outliers, and reports uncertainty (CI95) alongside denoised true weight; regression/endpoints are simple window-based estimates kept for comparison. Use instead of formula TDEE once real logged data exists. Each entry needs at least one of weight/kcal (not necessarily both). Entry dates must span 10 years or less (earliest to latest). Note: all methods need at least one weigh-in (kalman) or two (regression/endpoints) — a history with zero weight entries throws under the kalman default; pass methods:'all' to get a graceful empty/skipped result instead.

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• report_get

  Kash.click

  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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• varrd_edges

  VARRD — Statistically Validated Trading Edges + AI Research Engine

  THE PRIMARY TOOL — start here. FREE at depth=0, always safe to call. Live feed of statistically validated trading edges running 24/7 against real market data. See what's firing right now, get trade levels, or audit the full methodology. THREE TIERS: depth=0 (FREE — call this first): See which markets have edges firing right now, pending bar close, or actively in trades. Markets and status only — no direction, no stats. Get a sense of what's live. depth=1 ($0.50): Unlock direction, occurrence count, EV/trade, stop-loss, take-profit, hold horizon, and current entry prices for ALL active edges in one request. depth=2 ($1 per edge, $5 for all): Full methodology — the actual formula, setup code, how the edge was discovered, edge decay analysis, complete performance analytics (Sharpe, drawdown, equity curve, profit factor). Machine-readable so any AI can audit the statistical rigor. Includes drill-down sections (free after purchase): setup_code, horizons, analytics, occurrences, and view (interactive chart link for your user, 15 min). Every edge in this library is Bonferroni-corrected, tested against both zero returns and market baseline, with K-tracking to prevent p-hacking. Out-of-sample validated. Full transparency.

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• competitive_deep_dive_async

  gapup-mcp

  Async variant of competitive_deep_dive. Returns immediately (<200ms) with a job_id. The research runs in the background (p50≈25s, p95≈30s for depth=medium). Poll the result with competitive_deep_dive_result(job_id) after the eta_seconds hint. Use this instead of competitive_deep_dive when the agent cannot wait >15s for a response. Inputs: same as competitive_deep_dive — company (required), competitors (optional list, max 5), depth (easy/medium/hard, default medium). Async tool — register a webhook via `webhooks_manage(register, url, [job.completed])` to receive callbacks instead of polling. Faster + lighter.

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• worldbank_search_indicators

  worldbank-mcp-server

  Searches the 29,500+ World Bank indicator catalog by keyword, topic, or source. Returns indicator IDs and metadata for chaining into worldbank_get_data. At least one of query, topic_id, or source_id must be provided. When combined with topic_id or source_id, keyword filtering applies across all results in that topic or source. Use worldbank_list_topics for topic IDs, worldbank_list_sources for source IDs.

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• openstreetmap_query_bbox

  openstreetmap-mcp-server

  Find OSM features within a rectangular geographic area (bounding box) via the Overpass API. Useful for area surveys where you want everything in a region, not proximity searches. Use amenity for common POI types (hospital, pharmacy, cafe, school, etc.) or tag_key + tag_value for other OSM categories (leisure=park, shop=supermarket, natural=peak). Exactly one of amenity or tag_key/tag_value must be provided. Every feature includes its full OSM tag set; the extratags flag (used by the Nominatim-backed openstreetmap_search_places, openstreetmap_reverse_geocode, and openstreetmap_lookup_objects tools) does not apply here. For proximity searches centered on a point, use openstreetmap_query_nearby instead.

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• billing.get_portal

  Admin Substitute

  Get a Stripe Billing Portal URL for the human to manage their subscription — update payment methods, view invoices, change plans, or cancel. Requires an existing Stripe subscription.

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• get_setup_instructions

  FundingLandscape

  Return MCP setup instructions for Claude Desktop and other clients. Does not count toward your monthly searches.

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• list_saved_searches

  FundingLandscape

  List all saved searches for the current user. Returns each search with its ID, query, filters, alert settings, and last run time. Use this FIRST to check what the user already has before creating or updating searches. Response includes remaining slots and plan info. Saved searches are available on every plan, including Free (Free: 1 saved search with weekly email alerts, Plus: 10, Pro: 25). Does not count toward your monthly searches.

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• string_sequence_search

  STRING Database MCP Server

  Searches the STRING database using **amino acid sequences** to identify matching proteins. - Accepts a single sequence or multiple sequences in FASTA format. - Returns the most similar STRING protein(s) for the specified species, based on sequence similarity. - Use this when the protein identifier is unknown or unresolvable by `string_resolve_proteins`.

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• search_news

  Pollar News

  Searches Pollar's news archive using semantic and keyword matching. Use for any subject-specific query, including a person, organisation, place, or country (for example, interesting news in Poland). Put the subject or place in query. Locale controls response language, not geographic scope. For current headlines with no subject or place, use list_top_news.

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• categories.list

  Revuo.ai MCP

  Lists all product categories in the directory. Use category slugs to filter product searches in products.search / products.find_by_capability. Response: { categories: [{ slug, name, description }] }. Note: this is a thin call. For a full directory briefing (subcategories, capability slugs per category, product counts, locked-vertical flags), prefer directory.overview as a single up-front call.

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• categories.list

  Revuo

  Lists all product categories in the directory. Use category slugs to filter product searches in products.search / products.find_by_capability. Response: { categories: [{ slug, name, description }] }. Note: this is a thin call. For a full directory briefing (subcategories, capability slugs per category, product counts, locked-vertical flags), prefer directory.overview as a single up-front call.

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• noaa_marine_get_current_profile

  noaa-marine-mcp-server

  Observed ocean-current depth profile from an NDBC ADCP buoy: the most recent measurement of current speed and direction at each depth bin. Returns depth in meters, direction in degrees true (the direction the current flows toward), and speed in cm/s. Distinct from noaa_marine_get_currents, which returns CO-OPS tidal-current predictions (forecast max flood/ebb/slack) rather than these observed acoustic-Doppler measurements. A depth bin is reported whenever NDBC gives it a depth; its direction or speed is null when the sensor did not report that component. Use noaa_marine_find_stations with source="ndbc" and types=["current_profile"] to find station IDs — most NDBC stations serve no ADCP profile, so an unfiltered search returns IDs this tool cannot read.

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• search_settlements_batch

  Redra

  Run multiple independent settlement searches in one tool call. Prefer this tool for broad eligibility scans and alternative terms. Each query is evaluated independently. Returned records are deduplicated across queries and include matched_query_indices that point to the query summaries. Do not combine unrelated alternatives in one keywords list: keywords within each query use logical AND, never OR. Speculative associations are search candidates only, not evidence that the user matches a settlement. Choose per-query limits based on expected noise and use max_total_results to bound the unique records placed in model context without reducing search breadth. For current eligibility scans, omit status or set it to open; do not use all merely to broaden recall. The response's executed_query_count is the number of independent searches performed in this call.

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