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    Provides crypto market intelligence including price quotes, momentum analysis, trending coins, and a composite scored verdict, using the free CoinGecko API.
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    MIT
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    Provides institutional-grade equity analysis for any LLM via MCP, aggregating insider trading, superinvestor holdings, analyst consensus, options data, and valuation into a confidence-weighted verdict.
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    MIT
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    MCP server for NYC real estate due diligence. Lets Claude query 22+ NYC public-record databases — DOB/HPD/ECB violations, ACRIS deeds, DOF sales, 311 complaints, FDNY incidents, NYPD complaints, marshal evictions, PLUTO, rent stabilization — in plain English.
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    Web intelligence MCP server for AI agents. 7 tools for SERP analysis, competitor research, market trends, content gap analysis, keyword insights, audience discovery, and citation tracking.
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    AGPL 3.0
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    Instagram influencer discovery for AI agents. One tool (search_leads) with filters for category, country, city, keyword, gender, follower range; returns username, bio, public business email (where available), verified/business flags. Pay-per-call in USDC on Base or Solana via x402 — no API keys. Free demo mode returns 3 preview results. Live at https://socialintel.dev/mcp.
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    MCP server for Threadlinqs Intelligence — 49 tools across threat intelligence, detections, IOCs, threat actors, MITRE attack-chains, C2 infrastructure, and Purple-tier composite intelligence. Drop-in for Claude Code, Claude Desktop, Cursor, and any MCP-compatible client.
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    | 地価トレンド予測 | 新宿区の5年後地価をAI予測。CAGR・投資シグナル付き | | 企業立地需要分析 | 名古屋市中区のオフィス・工場需要スコアを算出 | | ファミリー向け適性評価 | 横浜市西区の教育・安全・医療スコアを総合評価 | | ポートフォリオ最適化 | 東京・大阪・埼玉の3エリアに投資配分を最適化 | | What-If シナリオ分析 | 大阪市中央区で新駅開設シナリオを試算 | | 店舗出店適地評価 | 福岡市博多区の人流・商業施設・交通データで出店適性を判定 |
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    AGPL 3.0
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    Enables AI assistants to search and analyze vulnerabilities and exploits from multiple intelligence sources, including NVD, CISA KEV, ExploitDB, Metasploit, and more, with tools for CVE research, exploit analysis, and report generation.
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    MIT
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    Transforms raw Google Search Console signals into actionable marketing insights, such as detecting cannibalization, segmenting search intent, and identifying citation opportunities, for any MCP-compliant AI agent.
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    456 PyPI
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    MIT
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    Security intelligence API for AI models. CVE lookup with EPSS/KEV, domain recon (DNS, WHOIS, SSL, subdomains, WAF), and code security checks (secrets, injection, headers). 16 tools, no API key required.
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    Aggregates real-time threat intelligence from multiple sources including Feodo Tracker, URLhaus, CISA KEV, and ThreatFox, with IP/hash reputation checking via VirusTotal, AbuseIPDB, and Shodan for comprehensive security monitoring.
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    Self-hostable MCP server for WhisperGraph — a graph of 7.39B nodes / 39B edges mapping DNS, BGP, GeoIP, WHOIS, and threat intelligence. Six read-only tools (Cypher query + schema introspection + threat assessment), six resources, eight investigation prompts. stdio and Streamable HTTP transports.
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    Apache 2.0
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    AgentShare delivers structured product search and pricing signals for AI agents over REST and MCP (Streamable HTTP). Responses include freshness & coverage metadata so agents can reason about data recency. API keys secure billed endpoints; public discovery at /agent.json and /mcp.json. Currently integrates connected marketplaces and affiliate feeds – roadmap expands to global e-commerce (AliExpre
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    Competitive intelligence for AI agents — analyze any URL or company description and get structured JSON with positioning, pain points, competitors, and unique market angles. Payments via x402 protocol ($0.05 USDC on Base mainnet), no accounts required.
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    Real-time financial narrative tracking for AI agents — clustering news into structured narratives, measuring sentiment momentum, and mapping portfolio risk across 109 US equities.
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    Apache 2.0