"The term pHqghUme" matching MCP servers:

A project-aware AI design and code review server that uses dual reviewers via OpenRouter to catch context-blind errors in AI-generated code, optionally integrating with Serena for long-term project memory.

Enterprise-grade code intelligence server for AI assistants that analyzes codebases for due diligence, tech debt, security vulnerabilities, and code quality.

A persistent memory MCP server for Claude Code that enables long-term recall across sessions via hybrid search, code intelligence, and tools for reading/writing memory.

An MCP server suite that optimizes prompt context by reducing tokens up to 98.8%, acting as persistent long-term memory and codebase scanner to save API costs.

Provides long-term memory and codebase AST intelligence for AI coding agents, enabling persistent context handoff and high-efficiency symbol queries.

Provides AI agents with powerful JavaScript/TypeScript code analysis and transformation capabilities using the tree-hugger-js library.

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An MCP server that lets AI models run code in 31 languages, evaluate symbolic math and logic problems, and measure complexity—exposed as 48 tools for execution, session management, translation, optimization, and more.

Architectural Gatekeeper for AI coding. Prevents "tunnel vision" bugs by forcing the AI to verify dependencies (via AST parsing) before editing files. Supports JavaScript & TypeScript. Blocks unsafe edits until the AI proves it understands the impact

Analyzes Hytale game SDK by automatically detecting the installation, decompiling server logic, and exposing an AI-ready interface via the Model Context Protocol for searching API and assets.

Enables agents to audit and safeguard repositories by detecting dependency pinning issues, license compliance problems, hardcoded secrets, and dead code through MCP tools.

Enables interaction with the ACL2 theorem prover through 15 tools for theorem proving, expression evaluation, persistent session management, and proof debugging.

Enables starting code analysis and obtaining code analysis reports via the MCP protocol, integrating with Tencent Cloud Code Analysis (TCA).

Provides code analysis for Next.js projects through the Model Context Protocol, enabling IDE and LLM integration to identify unused files, dead code, and redundant API endpoints.

A server component of the Model Context Protocol that provides intelligent analysis of codebases using vector search and machine learning to understand code patterns, architectural decisions, and documentation.

Code-search engine that parses TypeScript and JavaScript with a real AST, stores the symbol graph in SQLite, and serves AI assistants exact matching declarations (functions, classes, types) via BM25 fused with declaration-exact ranking — saving tokens by returning only the relevant code instead of whole files.

The Fabric-Analytics-MCP server enables AI agents to interact directly with Microsoft Fabric using natural language. It transforms complex data engineering tasks—such as workspace management, data exploration, and job execution—into intuitive, conversational workflows for LLMs like Claude or GitHub

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.

MCP server exposing the rizin CLI for static binary analysis of executables.

Enables AI assistants to discover, document, and generate React code using the pastel-themed Baby Design UI component library. It provides tools for retrieving design tokens and component specifications to streamline the development of user interfaces.