"Search for 'Security'" matching MCP servers:

Search Vascue's public healthcare-operations documentation: AI front desk for clinics, provider-side insurance claims automation, Cliniko integration, security. Public content only.

Exposes an internal engineering knowledge base to AI assistants, allowing users to search and retrieve standards, runbooks, and architecture decisions. It supports RAG-enhanced search, document scraping, and specialized prompts for incident investigation and code reviews.

Security analysis for Python codebases through the guard-core engine: SecurityConfig validation that catches keys pydantic silently drops, docs search over the vendored corpus, live detection probing, and verified setup guidance for Python, Typescript, Rust, PHP and Go adapters.

Enables searching and browsing the entire F5 AI Security documentation using TF-IDF search and section reader tools.

Enables MCP clients to search and read the free AI School curriculum, including 550+ tracks on AI engineering, governance, security, and applied AI by profession.

Enables AI agents to perform fast, offline full-text search and section-level retrieval over the HackTricks offensive-security wiki, including ranked snippets, page/section extraction, code-only payloads, and category navigation.

Provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.

Answers upgrade questions from a package's own changelog, listing breaking changes, deprecations, security fixes, and raised requirements between two versions, retrieving notes for a single version, and searching changelog entries for specific APIs or options.

MCP server for answering questions about Apache Software Foundation policies, offering tools to list, retrieve, and search policy documents on releases, licensing, branding, security, infrastructure, and incubator topics.

Enables AI models to search and retrieve offline security knowledge from over 20 curated sources including HackTricks, PayloadsAllTheThings, and OWASP guides, via the Model Context Protocol.

An unofficial, source-grounded MCP server for FiveM for GTAV Enhanced development, providing exact native lookups, platform constraints, manifest/security reviews, NUI compatibility evidence, and direct primary sources.

High-performance code understanding toolkit that enables batch reading of multiple files with dependency context, structural outline extraction with Java annotation awareness, and precise location of classes/methods across large codebases.

Provides 14 enhanced intelligent search tools for both international platforms (GitHub, StackOverflow, NPM, etc.) and Chinese platforms (CSDN, Juejin, WeChat docs, etc.). Each tool includes smart URL generation, search tips, and related suggestions for comprehensive technical research.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

Enables AI assistants to interact with Hudu IT documentation, providing tools for companies, assets, knowledge base articles, credentials, IPAM, racks, and more, with security gates for passwords and destructive operations.

Enables AI assistants to search independent, source-reviewed evaluations of MCP servers and retrieve full reviews or individual sections covering capabilities, setup, security, permissions, token costs, and maintenance status, along with setup guides and comparisons. Content is fetched live from mcpverdict.com and needs no API key.

Enables AI models to search and read technical discussions, customizations, and error resolutions from the Sankhya Community forum. It provides tools to retrieve topic lists and extract clean content from specific posts to help resolve system-related issues.

Provides Large Language Models with real-time access to the latest documentation for Python libraries like Langchain, LlamaIndex, and OpenAI, enabling accurate and up-to-date code suggestions.

Enables searching documentation from GitHub repositories and web pages via MCP tools, with in-memory indexing and caching for fast retrieval.

Provides structured templates for security questionnaires, RFP responses, and competitive battlecards to help AI agents and sales engineers draft responses efficiently.