"Control applications in macOS" 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 AI assistants to perform read-only introspection of Symfony applications, exposing routes, controllers, services, entities, database schema, migrations, logs, and more via MCP tools.

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 that migrates SAP Module Pool programs to RAP applications interactively, using AI and SAP ADT REST APIs with human approval at each step.

Enables AI agents to profile React applications, detect performance bottlenecks, and automatically apply fixes like memoization and code hoisting.

A FastMCP server that provides LLMs with structured access to Scalene's CPU, GPU, and memory profiling for Python applications. It enables automated performance analysis, bottleneck identification, and optimization suggestions through natural language interactions in supported IDEs.

Local-first, zero-egress security scanner for AI-generated / "vibe-coded" JS/TS. Bundles Opengrep, Gitleaks & Trivy behind one CWE-keyed schema and adds AI-code-specific checks (client-side secret exposure, Supabase RLS, prompt-injection & LLM-output XSS sinks). No account, no telemetry.

A server that validates GitHub repositories against configurable rules for React applications, enabling structure, configuration, dependency, and naming checks.

Enables AI coding assistants to run pre-publish security and code-quality scans across 17 categories, generate a 0–100 security score and Markdown report, quickly check critical vulnerabilities, and receive fix/refactor suggestions by finding ID.

Analyzes codebases for cross-platform compatibility issues, detecting platform-specific APIs, file path problems, line ending inconsistencies, and shell command incompatibilities across Windows, macOS, and Linux.

MCP server that enables AI agents to read, edit, and create PLC projects in EcoStruxure Control Expert via COM automation.

Gives Goose/Cursor access to your iOS/macOS project index through the Model Control Protocol (MCP) and IndexStoreDB. This provides exhaustive lists of function call sites to help your agent with refactoring and code navigation.

Enables AI assistants to debug PHP applications through Xdebug's DBGp protocol, providing full debugging control including breakpoints, variable inspection, stack traces, and advanced features like watch expressions and code coverage.

Provides AI agents with visibility into React applications by exposing tools to inspect component state, props, and performance metrics. It enables debugging and state analysis for both web and React Native applications through the Model Context Protocol.

Enables LLMs to debug Java applications using JDB, supporting breakpoints, stepping, expression evaluation, thread analysis, and more.

Provides comprehensive debugging capabilities for Node.js and TypeScript applications with 25+ specialized tools, including breakpoint management, variable inspection, hang detection, CPU/memory profiling, and test framework integration.

Local-first code intelligence and safety layer for AI coding agents. MCP server exposes dependency graph, impact analysis, and AST-compressed repo context, backed by typed local memory, patch-scope safety gates, and git-independent transaction rollback.

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.

Enables persistent Clojure REPL evaluation, namespace and Var discovery, delimiter repair, and explicit start/attach/stop control of nREPL runtimes inside pi, including readiness and ownership checks. Supports both externally managed REPLs and opt-in managed JVMs with clear lifetime boundaries.

Enables AI coding agents to search, trace, and read codebases token-efficiently with symbol-aware, budgeted, and diff-aware reads over MCP on macOS.