"An overview or resources on Kubernetes" matching MCP servers:

An MCP Server that enables users to interact with Google's On-Demand Scanning API (v1beta1) through natural language, likely providing capabilities for vulnerability scanning and security analysis of containers and artifacts.

Enables AI agents to search, read, and write a shared tree of markdown articles hosted on Amazon S3, with per-folder and per-article permissions, attribution of every change to the signed-in user, and full version history. Agents get exactly the access granted to the person they act for, and cannot grant permissions or hard-delete content.

Connects AI assistants to the Vectra AI On-Premise security platform for natural language threat detection, investigation, and automated incident response workflows.

Enables an AI assistant to diagnose a broken application on a local Kubernetes cluster by inspecting pods, events, and logs, with server-side guardrails, least-privilege RBAC, and an audit log. It can also restart deployments in allowed namespaces only after a dry-run preview and host approval.

Enables deployment of an MCP server on Cloudflare Workers with OAuth login, allowing remote invocation of tools like math operations from MCP clients.

Enables AgentBase agents to call read-only tools for employee directory, leave balances, purchase orders, and inventory levels while keeping enterprise data inside the data center.

Enables MCP clients to exchange an MCP-audience token for a Microsoft Graph token and call Graph as the signed-in user, with tools for identity verification and recent mail access.

A remote MCP server deployed on Cloudflare Workers with OAuth authentication, enabling secure tool calling over SSE.

An MCP server that provides authorization middleware for AI agents using private data, enabling consent management on Aleo and local private inference with persistent policy storage.

Enables deploying a remote MCP server on Cloudflare Workers with OAuth login, allowing MCP clients like Claude Desktop to connect and use tools over SSE.

Stateless Streamable HTTP MCP endpoint with OAuth 2.1 authentication via Cloudflare Workers, supporting PKCE, DCR, and token introspection.

An MCP server deployed on Cloudflare Workers with OAuth login, allowing remote invocation of tools like math operations from MCP-compatible clients.

Enables Claude Desktop to use MCP tools hosted in Azure Container Apps, secured with Microsoft Entra ID sign-in, and provides hello and whoami tools to confirm connectivity and the signed-in Microsoft account.

A hardened MCP server that enforces authentication via Easy Auth and OAuth, manages secrets with Key Vault, and restricts network access using VNet integration and API Management, enabling secure tool invocations through a fully private infrastructure.

Provides a three-layer payment firewall for AI agents, enabling identity verification, risk screening, and execution authorization with on-chain policy enforcement for secure and auditable transactions.

Enables Bedrock agents to act as a Lark user, performing document operations (list, create, edit, delete) and identity verification via Lark's REST API, with per-user credential injection through a Gateway Interceptor.

Read-only ProofRelay MCP verifier for non-confidential evidence bundles. Exposes 22 public-safe tools, 11 resources, and 11 prompts for bundle integrity checks, receipt-chain review, checkpoint recommendations, MCP risk metadata review, and real-estate closing proof-pack readiness.

Enables AI agents to explain regex patterns in plain English and statically assess ReDoS risk before shipping, without executing the pattern or requiring an API key.

Lets AI agents check whether an EVM wallet address carries an EIP-7702 delegation across eight chains (Ethereum, Base, BNB Chain, Arbitrum, OP, Polygon, Gnosis, Unichain) and learn how to obtain a deeper paid report with delegate bytecode heuristics and risk levels. Read-only, never touching private keys or seed phrases.

Enables AI agents to perform passive security scans on domains, checking email spoofing (DMARC/SPF/DKIM), TLS weaknesses, security headers, exposed files, and subdomain-takeover risk without needing an API key.

Enables users and AI agents to verify whether a crypto recipient address is an address-poisoning lookalike or has an invalid EIP-55 checksum before sending funds, and provides access to an on-chain history scan for suspicious transfers.

Quick-scan a smart contract for rug, honeypot, or centralization risk before sending funds. It combines verified source, live on-chain state, and heuristic Solidity analysis to return a SAFE/CAUTION/HIGH-RISK verdict.

Guardrail proxy for AI agents on SQL Server. Each statement runs as the caller's own login, a T-SQL parser blocks dangerous statements, and every statement is audited. Local stdio mode or a central Docker service.

Enables AI assistants to view devices on a Portveil account and move, rotate, reconnect, or disconnect them across VPN locations, with verified successful moves.

MCP server for auditing infrastructure-as-code attack paths, finding multi-hop chains from public internet to sensitive resources.

Lets a coding agent lint a Dockerfile or Kubernetes manifest through the Shipshape API, returning an A–F grade, score, pass/fail status, and every finding with its line, fix, and reference. Catches issues like root in the final stage, unpinned base images, curl | sh, secrets in ENV/ARG, and Pod Security Standards, resources, and probes violations before handing work over.

Verifies C2PA Content Credentials for local files or URLs and returns an LLM-ready verdict on trust, AI generation, and provenance.

An MCP server wrapping urlscan.io and VirusTotal APIs to enable AI agents to pivot on threat indicators during investigations, with compact structured output and defanged results.

Enables an assistant to read SMS texts and transcribed calls on a Cleat US mobile line, including waiting for the next verification code to arrive.

Spam classification MCP server for AI agents that classifies messages as SPAM, SUSPICIOUS, or SAFE based on real Telegram moderation data and multi-layer detection.