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"Information about 雪球 (Xueqiu or Snowball)" matching MCP servers:

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    A robust Model Control Protocol server that enables AI agents to access real-time cyber threat intelligence and detailed information about vulnerabilities, threat actors, malware, and other cyber-security entities.
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    Apache 2.0
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    A Model Context Protocol (MCP) server for Socket integration, allowing AI assistants to efficiently check dependency vulnerability scores and security information.
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    MIT
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    Exposes Microsoft 365 privacy/compliance audit checks as MCP tools, enabling natural language queries about tenant configuration, orphaned documents, Conditional Access policies, DLP policies, and Copilot usage.
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    MIT
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    Transparent Go proxy that intercepts, signs, rate-limits, redacts, and audits all MCP JSON-RPC tool calls without modifying client or server. Stores to JSONL or SQLite with HMAC-SHA256 signatures.
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    Apache 2.0
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    Provides access to Shodan API functionality, enabling AI assistants to query information about internet-connected devices for cybersecurity research and threat intelligence.
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    MIT
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    Provides blockchain address risk scoring and asset information through the BICScan API, allowing users to assess risks for crypto addresses, domains, and dApps on a scale of 0-100.
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    MIT
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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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    Enables monitoring of domain registration information via WHOIS lookup and SSL certificate validity checking. Provides domain expiration dates, registrar details, certificate validity periods, and issuer information for website security monitoring.
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    MIT
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    Provides access to a malicious URL database API, enabling users to search, list, and retrieve information about potentially dangerous URLs for security analysis and threat detection.
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    MIT
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    IMCP - Insecure Model Context Protocol The DVWA for AI Security! Welcome to IMCP – a deliberately vulnerable framework that exposes 16 critical security weaknesses in AI/ML systems. Whether you're a security researcher, developer, or educator, IMCP is your playground for hands-on learning about real
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    Provides AI ingress governance by masking prompts, classifying risk, and enforcing tool policies before agent calls reach model providers or sandboxes.
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    AGPL 3.0
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    An MCP server demonstrating OAuth 2.0 authentication with Keycard's Security Token Service, providing tools for displaying the Keycard logo and retrieving authenticated user information.
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    Apache 2.0
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    Enables AI assistants to search and retrieve information from the REMnux malware analysis toolkit documentation, allowing users to ask questions about reverse-engineering tools and get accurate, up-to-date answers from the live documentation.
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    Exposes OS keychain or AES-256-GCM encrypted file secrets as MCP tools, allowing reading, setting, and listing secrets without exposing values in conversation messages.
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    14
    MIT
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    Automatically generates pocsuite3-compliant POC (Proof of Concept) code from vulnerability information, with built-in safety features to prevent harmful payloads and ensure secure security testing.
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    MIT
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    A prompt-validation service that checks incoming prompts against security rules, blocking those matching high-severity security or jailbreak patterns while authorizing safe prompts.
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    MIT
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    Catalyst puts a governance layer between AI agents and consequential actions. Before your agent writes files, sends messages, deploys code, or calls external APIs, it checks in with Catalyst. Depending on your policy, actions are allowed immediately, routed to a human for approval, or denied. Includes 8 pre-built compliance framework packs (GDPR, SOC 2, ISO 27001, HIPAA, PCI-DSS, EU AI Act, Briber
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    MIT