"SearXNG - Open Source Metasearch Engine" matching MCP servers:

Enforces agent design system compliance with tools to check guards, explain gaps, issue receipts, suggest fixes, and export audits.

Enables AI coding assistants to drive spec-driven development through slash-command workflows for planning, exploring, implementing, updating, and finalizing changes, with local daemon and project registry support.

Generates tailored system architecture recommendations based on business parameters like QPS, concurrent users, database type, and AI model size, providing resource allocation plans, middleware suggestions, and exportable architecture diagrams.

Offline MCP server for SAP ABAP static analysis, ABAP Cloud readiness scoring, and RAP scaffolding. It enables AI agents to lint ABAP source, compare reworks, check released APIs, and generate RAP business objects without needing an SAP system.

Enables generating, reading, auditing, and previewing BPMN 2.0 diagrams for Bizagi Modeler, with an automatic layout engine that produces files Bizagi can open, plus optional control of the Bizagi Modeler desktop app on Windows.

Enables auto-configuration and validation of React components against a glassmorphic design token system using an AST correction engine. It supports managing UI presets, enforcing design uniformity in Monaco IDE, and exporting tokens as CSS, Tailwind, or JavaScript variables.

A single, queryable source of engineering constraints that coding agents consult at code-generation time, exposed over an MCP server.

Distills Claude Code's 310K-line source into 32 queryable modules via MCP, enabling AI agents to learn and reuse Claude Code's architectural patterns through natural language.

An MCP server that enables LLMs to create and open diagrams in draw.io using XML, Mermaid, or CSV formats, by building a URL with compressed content and opening it in the browser.

A comprehensive bridge connecting AI agents to Unreal Engine 5.7 through 39 MCP tools for scene manipulation, asset management, and blueprint control. It enables real-time perception and editor automation using the Remote Control API and file-based protocols.

Cross-repository code knowledge graph MCP server for Java, Kotlin, JavaScript, and TypeScript. Indexes source code into embedded KuzuDB via tree-sitter and exposes 30+ tools for call-flow tracing, multi-hop taint analysis (OWASP/CWE/PCI/STIG), entry-point reachability filtering, performance hotspot detection, and license compliance — without reading source files. 95% fewer tokens vs source-read

This MCP server enables AI models to analyze local Python codebases using abstract syntax trees, providing tools for file structure analysis, symbol search, import graphing, docstring auditing, and refactoring prompts without loading entire source files into context.

Compare evidence-linked documentation claims with facts observed in the current source tree.

A deterministic architecture audit engine for Cursor. It enforces visual Mermaid protocols to prevent LLM hallucinations, ensuring AI modifies code based on strict blueprints.

Sub-1ms cross-stack AST contract layer and compiler verification engine mapping React/Next.js routes to FastAPI and SQLAlchemy models for AI coding agents.

An AI-powered dependency decision engine that lets agents analyze blast radius, simulate upgrades, trace security attack paths, and visualize dependency topology in a 3D galaxy viewer.

A TypeScript-based MCP server that automatically generates structured technical presentation PPTX files via deck JSON and layout engine.

An MCP server that enables users to generate structured XMind mind maps with hierarchical topics, notes, and labels through natural language. It features automatic file saving to the local Documents folder and can automatically open generated maps in the XMind application.

Enables LLMs to create and open diagrams in the draw.io editor, supporting inline chat previews via MCP Apps, direct editor opening with XML/CSV/Mermaid format support, and diagram export to PNG/SVG/PDF or browser URLs through multiple integration approaches.

An MCP server for code intelligence that maps source code into a knowledge graph, enabling AI tools to understand architecture and structure rather than just individual files.