"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.

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

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 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.

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

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.

An intelligent continuous integration server that provides automated Python code analysis, linting, and static type checking through the Model Context Protocol. It enables AI assistants to perform quality assessments and run tests using tools like pylint, mypy, and pytest.

An MCP server for real-time analysis of Lovable-generated projects, enabling Claude Desktop to instantly understand project structure, components, dependencies, and more.

Fully automated MCP server built to communicate with JADX-AI-MCP Plugin to analyze Android APKs using LLMs like Claude — uncover vulnerabilities, parse manifests, and reverse engineer effortlessly.

An MCP server for EndstoneMC development, enabling module information queries, code search, plugin template generation, event handling guidance, and development tutorials through natural language.

Enables semantic code search across codebases using Qdrant vector database and OpenAI embeddings, allowing users to find code by meaning rather than just keywords through natural language queries.

Enables AI agents to compile, execute, and check Almide code for syntax or compilation errors. It provides tools for generating ASTs and accessing language grammar resources.

Enables automated AI-powered code review for pull requests across GitHub, GitLab, Bitbucket, and Azure DevOps via webhooks, and manual code review through MCP tools using Groq, Claude, or GPT-4.

An MCP server for analyzing, manipulating, and documenting PICO-8 game carts using the shrinko8 toolkit. It enables users to count tokens, minify code, validate carts, and access API documentation through natural language commands.

An extended MCP server for managing code snippets, performing code analysis, and handling deployments via Render and GitHub. It enables users to perform code reviews, track issues, and manage service operations through natural language interactions.

A server that wraps the code2flow command-line tool as an MCP service, allowing AI applications to generate and access code call graphs through a standardized protocol.

An advanced Model Context Protocol server that integrates GitHub repositories with Google Gemini AI to provide intelligent code assistance, analysis, and repository management operations.