"Setting Up or Using an MQTT Server" matching MCP servers:

Enables AI assistants to analyze project folders for dependencies and frameworks and fetch current documentation or datasheets from the web.

Provides GDB and clangd-based tools for debugging C++ programs, enabling step execution, variable inspection, diagnostics, and combined runtime-static analysis.

An MCP server that scans codebases to extract structural information (classes, functions, etc.) with flexible filtering options and outputs in LLM-friendly formats.

Exposes TypeScript language service tools (completions, go-to-definition, type info, diagnostics) via MCP for use by AI or IDE clients.

An MCP (Model Context Protocol) server that provides tools for checking Maven dependency versions. This server enables LLMs to verify Maven dependencies and retrieve their latest versions from Maven Central Repository.

An MCP server that performs comprehensive Python code analysis using Ruff, ty, and Vulture for linting, type checking, and dead code detection.

MCP server for TypeScript type resolution and dependency graph analysis using ts-morph and madge.

MCP server for high-fidelity code audits, refactoring, and architectural analysis using specialized Proxy Experts.

An MCP server that integrates Ruff linting, formatting, and code analysis tools with advanced logging and configuration options for AI coding assistants.

An open-source MCP server that connects your IDE or AI assistant to the Codex CLI, enabling non-interactive automation with codex exec, safe sandboxed edits with approvals, and large-scale code analysis via @ file references.

An LLM-optimized server for reverse-engineering and navigating minified JavaScript bundles by splitting them into searchable, individual modules. It enables LLMs to analyze code architecture, extract specific symbols, and perform semantic searches while efficiently managing context window usage.

A Model Context Protocol (MCP) server that provides code analysis capabilities using tree-sitter, designed to give Claude intelligent access to codebases with appropriate context management.

An MCP server that standardizes and binds development tool patterns, enabling AI assistants like Claude Code to generate code more efficiently with fewer errors and better autocorrection.

A Model Context Protocol server that analyzes and evaluates GitHub README documentation quality using advanced neural processing, providing scores and improvement suggestions.

An MCP server that enables seamless communication between ABAP systems and MCP clients using the ABAP Development Tools (ADT) API. It provides tools for managing ABAP objects, handling transport requests, and performing code analysis directly through MCP-compatible interfaces.

An MCP bridge that enables Claude Code to consult the Kimi AI model in a structured challenge-loop for code review, debugging, and architecture evaluation.

Security scanning for AI agent skills exposed as MCP tools, enabling skill analysis from ClawHub, GitHub, skills.sh, or raw URLs.

Enables semantic and hybrid search over documents and codebases backed by a Qdrant vector database, with collection management, document CRUD, metadata filtering, and AST-aware code indexing using local or cloud embedding providers. Supports natural language queries, incremental re-indexing of changed files, and custom configurable prompts for guided workflows.

An MCP server that provides semantic Ada language features like navigation, diagnostics, and code intelligence to AI coding agents by wrapping the Ada Language Server.

Send requests to OpenAI, MistralAI, Anthropic, xAI, or Google AI using MCP protocol via tool or predefined prompts. Vendor API key required. Both STDIO and SSE transport mechanisms are supported via arguments.