"dns security mcp" matching MCP servers:

Enables diagnosing web hosting and server issues by running live HTTP, SSL, DNS, and security-header checks alongside a searchable troubleshooting knowledge base.

Enables AI agents to interact with Google NotebookLM and Gemini API for document analysis, deep research, and notebook creation with enterprise-grade security including post-quantum encryption and 14 security layers.

Exposes seven MCP tools that let an AI coding agent detect a project's stack, fetch the priority security checks for that platform, search 2,057 OWASP-derived check cards with file-and-commit provenance, and record evidence-backed pass/fail results in a report.

Production-grade MCP server providing deterministic evaluation, AST sandboxed execution, DNS routing audit, and runtime guardrails for autonomous LLM agents.

A local security knowledge base that indexes documentation like CVEs and CWEs using hybrid keyword and semantic search. It enables LLM agents to query indexed materials via MCP for accurate, offline retrieval during security audits and code reviews.

Diagnoses web hosting and server issues by combining live HTTP, SSL, DNS, and security-header checks with a searchable knowledge base of troubleshooting notes, enabling MCP clients to investigate symptoms and explain root causes.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Enables MCP clients to safely retrieve and query a RAG system over research papers on Raman spectroscopy of carbon nanotubes using read-only tools, a resource, and a prompt. It adds controlled paid-answer budgeting, prompt-injection fencing, and backend security checks.

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.

Enables AI coding agents to search a security corpus, scan Terraform plan JSON for cited findings, and list sources via MCP tools grounded in CIS AWS Foundations and OWASP Top 10 CI/CD risks.

Enterprise AST codebase context reduction engine with up to 95% token savings, 20 tools, polyglot support, and zero-leak security guardrails. "Toprak Ahmet Aydoğmuş"

Enables local research of the entire English SRD 5.2.1 through hybrid vector and full-text search, exact cited rule retrieval, and deterministic constraint checks for actions, movement, spellcasting, concentration, damage, rolls, and characters.

Enables AI assistants to securely connect to Snowflake data warehouses and execute SQL queries through natural language interactions. Supports multiple authentication methods and provides formatted query results with built-in security controls.

Connects AI agents to Teradata databases for querying, analysis, administration, and AI pipelines with enterprise security.

Bee by HEOSSI exposes 16 MCP tools for specialist chat, code and security analysis, research, provenance, account usage, tenant-scoped documents and memory, quantum job workflows, and computer-host validation. API calls require a Bee API key and follow plan entitlements and metering.

An MCP server implementation that enables interaction with the Unstructured API, providing tools to list, create, update, and manage sources, destinations, and workflows.

Enables read-only search over a curated, provenance-preserving corpus of EVM smart-contract security knowledge, providing tools for retrieving audit findings, document context, and source information.

A Model-Context-Protocol server that provides SQL query execution and database management capabilities for Vertica databases, featuring connection pooling, schema management, and security controls.

A production-grade MCP server for integrating RAG into AI agents, supporting multiple vector databases with enterprise security and dynamic tool selection.

Dynamic MCP server — 30+ tools across fact verification, agent memory, Indian NLP, contract risk, security threat modelling, sales call intelligence and more. x402/USDC micropayments on Base.

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

A Model Context Protocol server that enables users to perform third-party enrichment lookups for security observables (IP addresses, domains, URLs, emails) through services like VirusTotal, Shodan, and others.

缔零法则MCP是基于LLM和RAG技术搭建的实现完全替代人力的全自动化风险识别的内容安全审查平台，致力于通过代理AI技术减少人力成本，高效高精度为用户提供分钟级接入的内容风控解决方案，破解安全威胁，提供从风险感知到主动拦截策略执行的全链路闭环与一体化解决方案。This MCP tool is an AI-powered content security review platform built on LLM and RAG technologies, designed to achieve fully automated risk identification that completel

A Model Context Protocol server that provides Claude with access to Pangea's security services, including AI Guard, Domain Intel, Embargo checks, IP Intelligence, Redaction, Secure Audit Log, URL Intelligence, and Vault services.

Enables inspection and governance of enterprise ingested context by classifying security clearance tiers, sanitizing cross-department prompts, and enforcing role-based access boundaries to prevent data leaks. It runs as a zero-dependency MCP server compatible with Claude Desktop, Cursor, and other agent frameworks.

Enables interaction with the Morphik multi-modal database system for document ingestion, retrieval, querying, and management. Supports text and file ingestion, semantic search with LLM-powered completions, and file system navigation with security controls.

AAAA-Nexus MCP provides 135 tools for autonomous AI agent infrastructure: formally bounded trust scoring, RatchetGate session security, on-chain A2A escrow, EU AI Act / NIST compliance certification, DeFi parameter proofs, VRF gaming with cryptographic proof, and verifiable randomness — all backed by the atomadic.tech API. Free tier available, no signup required.

Enables Claude to answer seller questions from previously saved research using read-only tools for accounts, initiatives, intent signals, key people, knowledge retrieval, and guarded dataset queries. It supports multi-tenant, authenticated access with tenant isolation and enforced read-only security.

Exposes search, passage retrieval, and document listing tools over streamable HTTP so MCP clients can query a security-questionnaire knowledge base and receive results with document, version, and heading provenance.

Provides a read-only PostgreSQL SQL surface for LLM agents via MCP, with defense-in-depth security layers for safe database queries.

Enables AI agents to query, explore, and analyze PostgreSQL databases through the Model Context Protocol. It provides robust security features including read-only mode, schema restrictions, and query timeouts for safe data interaction.

MCP server for tiered, injection-resistant natural-language access to a washing-machine Turso database, supporting stdio and HTTP transports with security guarantees like silent downgrades and audit logging.

Description: Introduce Beelzebub, an MCP‑based honeypot framework that enables creating decoy tools to detect prompt injection and malicious agent behavior. Motivation: Strengthen the security of LLM workflows by adding a non‑intrusive detection mechanism.

Enables Claude to index and retrieve context from codebases using self-hosted Milvus for semantic search, with hardened reliability and security for production use.

Security-first document intelligence MCP server that enables grounded, cited answers from untrusted documents. It detects and quarantines adversarial content, ensuring safe retrieval-augmented generation.

Enables coding and research agents to run paid, cited deep research on AI infrastructure, MCP, and security topics via remote MCP tools, with query-tied excerpt packs and uncited or failed calls billed at $0.

MCP server exposing the OWASP Web Security Testing Guide via semantic search and knowledge graph traversal.

Enables AI agents to answer Power Platform governance questions — data policies, connectors, environments, Managed Environments, security roles, the CoE Starter Kit and ALM — using hybrid keyword-plus-semantic search over Microsoft's documentation, with a deep link to the exact section behind every answer. It runs locally without API keys, offers read-only search, section-reading and document-listing tools, and connects to Claude, VS Code and Copilot Studio.

reef is a hosted remote MCP server that gives a group shared, long-term assistant memory: a private cove per person plus shared coves for a household, a trip, or a project, stored as human-editable Markdown pages with privacy enforced by Postgres row-level security. Works from Claude (including mobile), ChatGPT desktop, and Codex at https://reefwith.me/mcp, with a CLI on PyPI (reef-cli) and

Enables Claude and other LLMs to search through any published MkDocs documentation site using the Lunr.js search engine, allowing the AI to find and summarize relevant documentation for users.