"Equipment or items used in windsurfing" matching MCP servers:

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

MCP server for ai-scanner that enables AI agents to scan codebases for LLM usage, AI frameworks, and exposed secrets.

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.

AI access to SAP ECC and on-premise S/4HANA: natural-language table queries, ABAP source reads, where-used lookups, syntax checks, dumps and background jobs — served by an in-system ABAP add-on behind a single ICF node, with no BTP, ADT or RISE dependency. Every call runs under the calling user's own SAP authorizations and is audit-logged inside the customer's system; the connector is MIT-licensed

An MCP server that helps catch context drift in AI coding agents by comparing actual code changes against the original request, allowing users to keep or roll back unintended additions.

A local-first MCP preflight system to help AI inspect Python repositories before generating code, enabling reuse, extend, or create decisions. Currently in early development with only foundational modules implemented.

Enables local detection of protected health information in source code before it reaches LLM prompts, log statements, or analytics calls.

Automates frontend integration by mapping messy API JSON responses to Vue or React Design System components, generating Zod schemas for type-safe data transformation with live UI previews in chat.

An MCP server for React Native Upgrade Helper diffs. It fetches the same generated template diffs used by React Native Upgrade Helper, backed by react-native-community/rn-diff-purge, and exposes them as MCP tools that agents can call directly.

MCP server that integrates GauntletCI to analyze behavioral change risk in commits, providing findings as text, JSON, or SARIF reports for AI assistants.

Enables asking a consuming app in plain language to audit its design system usage, returning tables that sort every value and component by origin—design system, app-named, or none—along with token and contrast checks.

An MCP server that enforces unit testing standards by linting code and guiding agentic coding tools (like Gemini CLI or Claude Code) to follow best practices in test-driven development.

A wingman MCP server for Claude Code that provides auxiliary tools for file summarization, text compression, and diff review to ensure checklist items are not missed.

A Python MCP server that decompiles Android APK/XAPK/JAR/AAR files and extracts HTTP APIs used by the app.

Enables AI agents to scan code for TODO, FIXME, XXX issues via MCP, providing prioritized findings in table, JSON, or SARIF format.

Enables security auditing of MCP servers by running them in a sandbox with fake secrets, capturing outbound traffic, and detecting tool poisoning or secret exfiltration before approval.

An MCP server that reads any codebase (GitHub repo or local folder) and explains it using AI. Enables users to ask questions about project structure, key files, auth flows, and more in plain language.

Analyzes C++ source code to automatically generate UML class diagrams in PlantUML format, extracting classes, inheritance relationships, and member visibility from directories or file contents.

CodeGuard MCP is a real-time AI code security scanning tool used to detect vulnerabilities, keys, and compliance issues in AI-generated code, and is suitable for code security reviews in development environments

Provides a tool to extract and validate regex patterns from text content, including flags, positions, and ReDoS risk assessment. Enables AI agents to identify potentially dangerous regular expressions in code or files without needing filesystem access.