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"Querying Elasticsearch (ES)" matching MCP servers:

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    Enables comprehensive interaction with Elasticsearch APIs through natural language queries, specifically optimized for security analysis, threat detection, incident investigation, and compliance monitoring with advanced machine learning capabilities for anomaly detection.
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    8
    Apache 2.0
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    A secure MCP server for querying a subscription business database with AST-based SQL guarding, PII masking, audited two-step write actions, and a seeded demo dataset.
    8
    MIT
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    Enables querying and analyzing a legacy, file-based vulnerability registry via MCP tools for CVE lookup, search, vendor navigation, and aggregate statistics.
    5
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    MCP server for querying the Shodan API and Shodan CVEDB. This server provides tools for IP lookups, device searches, DNS lookups, vulnerability queries, CPE lookups, and more.
    7
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    MIT
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    Enables querying the WPScan API for WordPress plugin, theme, core vulnerabilities, and specific vulnerability lookups through MCP tools.
    4
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    MIT
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    Enables querying WhatsApp OSINT API to gather intelligence on WhatsApp numbers, including business verification, user status, privacy settings, linked devices, and profile pictures.
    8
    6
    MIT
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    A local stdio MCP server that enables coding agents to discover credential handles and create scoped action requests with local approval and sanitized output.
    7
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    Apache 2.0
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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.
    9
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    An implementation of the Model Context Protocol server that enables AI models to communicate with Edge Security Acceleration (ESA) services, allowing models to manage routines, deployments, routes, records, and sites through standardized protocols.
    42
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    26
    MIT
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    An MCP server that provides Truss threat intelligence capabilities, enabling natural language search, FilterQL filtering, and querying of threat data, along with STIX export and detection rule generation.
    MIT
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    Let LLMs analyze sensitive data safely by querying a tokenized, join-preserving copy of the database, with fail-closed PII scanning and provable numeric equivalence.
    MIT