"A server for controlling smart home lights" matching MCP servers:

Connects AI assistants like Claude to PHP's XDebug debugger for runtime inspection, breakpoint control, and variable tracking, enabling natural language debugging of PHP applications.

Enables token-efficient structural code exploration using tree-sitter AST parsing, with tools for symbol search, outlines, source unfolding, call graphs, and related-file discovery.

Provides intelligent semantic code search using local AI embeddings, enabling natural language queries to find relevant code by meaning rather than exact keywords. Indexes codebases in the background with smart project detection and privacy-first local processing.

Enables AI assistants to perform intelligent semantic code search across codebases using local AI embeddings for meaning-based retrieval.

Provides LLM-optimized filesystem access with intelligent file pagination for large files, lightning-fast ripgrep-powered code search with regex support, and security sandboxing to safely explore and search codebases.

Enables intelligent analysis of codebases to generate comprehensive documentation, calculate documentation coverage, and identify missing documentation with severity levels. Supports TypeScript, JavaScript, and Python with AI-powered suggestions for documentation improvements.

A stateful MCP server that provides persistent memory, deterministic static analysis, and evolving conventions for AI coding assistants.

MCP server that reduces AI agent token usage by up to 90% through intelligent context compression. Enables efficient code exploration, multi-file refactoring, and debugging by providing tools for smart reading, searching, and managing code context.

An MCP server that statically audits Solidity smart contracts for common vulnerabilities like reentrancy and access control, enabling developers to identify and fix security issues via natural language.

Enables scanning Solidity smart contracts for 13 vulnerability classes using pattern-based analysis; provides full audit, quick scan, gas analysis, and detector catalog through MCP tools.

Enables AI assistants to perform Git workflows with semantic commit messages, pre-PR secret audits, conflict resolution, and release changelog generation.

A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.

Enables comprehensive code analysis including quality assessment, security vulnerability detection, refactoring suggestions, complexity calculations, and automatic documentation generation for multiple programming languages.

Enables interaction with the Monad blockchain to analyze smart contract source code for functionality and security, with decompilation support for unverified contracts.

An AI Context Engineer that transforms vague queries into structured context packages for LLMs by extracting code, mapping relationships, and providing insights.

Enables Solidity callgraph and control-flow analysis to detect reentrancy vulnerabilities in smart contracts, with MCP integration for automated security auditing and DeFi vulnerability triage.

Provides AI agents with ground-truth knowledge of Strapi projects by reading real schema files, enabling accurate queries and safe refactoring operations.