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472,960 tools. Updated 2026-08-24 06:20

"An overview of OSINT (Open Source Intelligence)" matching MCP tools:

  • Search open rulemakings and public comment periods on Regulations.gov and the Federal Register. Read-only. No side effects. Idempotent. US federal only. keyword: Topic keywords e.g. artificial intelligence, data privacy. Required. agency: Agency abbreviation e.g. FTC, FDA, SEC, EPA. Optional, defaults to all agencies. status: One of open, closed, or all. Optional. Default open. Returns docket title, agency, comment deadline, docket ID, and document count. Use this when monitoring regulatory activity on a topic. Use regulatory_fetch_docket_details instead when you have a docket ID and need full detail. Verified source: Regulations.gov + Federal Register. 4-hour cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="regulatory_search_open_rulemakings", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
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  • Market overview and analysis for a product category in China. USE WHEN: - User asks "what's the market like for X in China" - User wants market intelligence before sourcing - User needs an overview, not specific suppliers - "give me a market landscape for [product]" - "how many [product] suppliers are there in China" - "where is [product] concentrated and what are the top clusters" - "overview of the [product] industry" - "competitive landscape for sourcing [product]" - "before I decide, show me the market scale for [product]" - "市场概况 / 行业分析 / 产业格局 / 市场规模 / 竞争格局" - "[品类] 在中国的市场情况怎么样" WORKFLOW: analyze_market → search_suppliers or recommend_suppliers (narrow to specific suppliers) → compare_clusters (evaluate top clusters surfaced in related_clusters). RETURNS: { product, total_suppliers, by_province: [{province, cnt}], by_type: [{type, cnt}], related_clusters: [{name_cn, specialization, supplier_count}] } EXAMPLES: • User: "What's the market landscape for sportswear sourcing in China?" → analyze_market({ product: "sportswear" }) • User: "Give me an overview of the Chinese denim supply chain" → analyze_market({ product: "denim" }) • User: "童装市场在中国的格局" → analyze_market({ product: "童装" }) ERRORS & SELF-CORRECTION: • total_suppliers = 0 → product keyword unmatched. Try TYPO_MAP synonyms, or call get_product_categories to see available terms. • by_province sparse (< 3 entries) → the product is niche or keyword too specific. Try the parent category. • Rate limit 429 → wait 60 seconds; do not retry immediately. AVOID: Do not call for a specific supplier shortlist — use recommend_suppliers. Do not call for cluster details — use search_clusters. Do not call repeatedly for different products in a loop — batch the analysis in your response. NOTE: Bird's-eye view. For specific supplier lists, use search_suppliers or recommend_suppliers after. Source: MRC Data (meacheal.ai). 中文:单个品类的市场总览(总供应商数、省份分布、类型分布、相关产业带)。
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  • Return the Wheel of Heaven interpretive framework's reading of a topic — explicitly the project's own Raëlian-canon-centred position, NOT mainstream consensus. Accepts a framework topic (overview, hypothesis, terminology, timeline, sources, method) for the curated narrative documents, or any other term to get the framework reading from the closest wiki entry. Use fact-layer tools (get_passage, compare_traditions) for source-grounded data without this framing.
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  • Live-mirrored Regen Network (regen-1) governance: bonded stake, active validator count, and every proposal — decoded, with phase (deposit/voting/resolved) and tally. Omit proposalId for an overview of what is open right now; pass one to get that proposal's full deposit/voting/tally detail. Read from a periodically regenerated mirror straight off the public ledger and registry, not asserted on Vealth's own authority — the response states exactly when it was generated. Free, keyless, read-only.
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  • Start an async OSINT investigation for a username (cross-platform presence, breach correlation). Owner/enterprise tier only — people-centric OSINT is restricted to prevent misuse. Returns an investigationId immediately — poll with osint_investigation_status and retrieve results with osint_investigation_report.
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  • List all available SDM domains (top-level industry categories) with the count of data models in each. Use this as the entry point when the user wants an overview of what sectors are covered, or before calling list_models_by_domain. No parameters required. Example: list_domains({})
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables researching, verifying, comparing, and composing open-source AI projects with transparent evidence and uncertainty boundaries through read-only tools.
    2
    Apache 2.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    A comprehensive MCP server that makes official UAE open data queryable through natural language, offering tools for source discovery, dataset search, spatial joins, and intelligence recipes.
    54
    MIT

Matching MCP Connectors

  • Read and write open-source flashcards through split read/write MCP tools.

  • Source-cited US machine-economy data: power, AI infra, chips, robot trade + adoption, satellites.

  • A random sample of 12 records from the curated live feed of open defense/technology opportunities (multi-country, multi-source, deduplicated by country+source). Served entirely from a background-refreshed cache; if the cache is cold the tool returns a retryable 'warming_up' error rather than an empty list. No arguments. Requires a GlobalGov plan with API access (sign in with GlobalGov or connect an X-API-Key); anonymous callers get an 'unavailable_for_tier' result.
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  • Start here when building an application. Returns an overview of what the AdCritter platform offers and a catalog of feature guides you can query with the adcritter_guidance tool to learn how to build each part of the app. Call adcritter_guidance(key) for any feature area to get detailed building instructions with API endpoints and response shapes.
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  • Canonical Ad Intelligence corpus counts — the single source of truth that kills number drift across marketing surfaces. Returns decoded ads published (THE number to quote publicly), total corpus size, live brand/category/weekly report counts, live categories and verticals, and the last publish timestamp. Use this BEFORE citing any corpus number in content, outreach, or briefs. Free, read-only, no parameters.
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  • Returns the current skill cluster data for public jobs on the nü people website. Use this tool when the user wants an overview of which skills or technologies are currently in demand.
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  • Historical directional hit-rate of each intelligence source (free read). Returns per-source accuracy stats for the intelligence signal sources (Coin Bureau / YouTube, RSS, Fear & Greed API, on-chain), so an agent can weight a source's calls by how often its bullish/bearish reads have played out. Each source carries a ``windows`` map over rolling 7d/30d/90d periods, each with total resolved calls, correct/incorrect counts, and accuracy_pct; sources with no resolved calls yet are omitted, and results are ranked by longest-window accuracy. windows optionally narrows the periods (subset of [7,30,90]); source_type optionally filters by source kind (youtube, rss, api, on_chain). Accuracy = the directional call vs the realised Birdeye price over the prediction window. Past accuracy is not a guarantee. Not financial advice. Workflow: INTELLIGENCE step -- pair with get_market_briefing to discount or trust a signal by its source's track record before sizing a position.
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  • Start an async OSINT investigation for an email address (breach exposure, account correlation). Owner/enterprise tier only — people-centric OSINT is restricted to prevent misuse. Returns an investigationId immediately — poll with osint_investigation_status and retrieve results with osint_investigation_report.
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  • Sign the user up for IndustryLens's weekly intelligence-report newsletter. Use this only after the user explicitly asks to subscribe — never subscribe an email without their direct, informed consent. The source argument is recorded for attribution and defaults to 'mcp'.
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  • START HERE for any open-ended request. Lists the task playbooks this server supports — systematic learning from bookmarks, organising into themes, cleaning up, X-list intelligence, exporting data out, finding a half-remembered save, digests, and diagnosing sync. Each names when to use it; call get_skill for the exact tool sequence.
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  • Return cross-user intelligence for an idea: anonymous, aggregated insights from similar ideas across the platform. Use it to learn how comparable ideas performed without exposing any private data. Read-only and free; pass an ideaId you own.
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  • Check whether an IOC has been revoked. O(1) in-process lookup. Use this before acting on any cached threat intelligence to ensure the IOC has not been retracted since it was loaded. Args: value_hash: SHA256 of {ioc_type}:{value.lower()}. Returns: revoked: bool event: Revocation event details if revoked, null otherwise.
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  • Check up to 100 NPIs against the current public CMS Medicare Revalidation List. Return every matching enrollment, its established due date or TBD status, current source metadata, explicit submission-status limits, an optional recurring-monitoring handoff, and an Apify-native automation handoff. The free read-only tool cannot open PECOS, submit a revalidation, start a paid run, open checkout, or purchase anything.
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  • Return the current validated 10-row public preview of behavioral-health NPIs newly present in CMS pending first-time Medicare enrollment files, with source dates, national counts, limitations, and an optional buyer-funded full-edition handoff. This read-only tool cannot start an Apify run, open checkout, contact applicants, or purchase anything.
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