"Information about Repomix Architect" matching MCP servers:

Repomix MCP Server enables AI models to efficiently analyze codebases by packaging local or remote repositories into optimized single files, with intelligent compression via Tree-sitter to significantly reduce token usage while preserving code structure and essential signatures.

An MCP server that packs repositories into AI-friendly files using the Repomix tool, supporting local and remote repositories with size estimation and compression. It enables users to efficiently feed entire codebases into AI models while managing context window limits.

Enables AI assistants to pack entire repositories into XML, Markdown, JSON, or plain text, with token-reducing compression, content analysis, pattern search, remote GitHub repository support, and built-in security scanning.

Provides comprehensive architectural expertise through specialized agents, resources, and tools for generating, evaluating, and modifying architectural designs.

MCP server that manages C4 architecture models, ADRs, and flow diagrams as TOML files in a docs directory, with git versioning and an HTTP viewer.

Enables AI assistants to generate production-ready, professional UI design systems and components from simple descriptions, with real images, animated components, and automated quality checks.

Free certification prep for the Claude Certified Architect exam. 390 scenario-based questions, guided capstone build, 30 concept handouts, 6 reference projects, practice exams, interactive UI with clickable answer cards, progress dashboard, spaced repetition, and deterministic grading. Everything runs locally — no cloud, no accounts, no telemetry.

Enables MCP clients to scope and generate safe Odoo add-on starters locally, including drafting architecture plans, creating 11-file add-on scaffolds, validating them, and saving files to disk—all without API keys or network access.

An MCP server that gives Claude Code IDE-level intelligence for FastAPI projects — semantic code navigation, safe renaming, route inspection, dependency trees, and Pydantic model analysis. Instead of Claude reading files blindly, it calls structured tools backed by Jedi (Python language server) and Python's AST.

An MCP server that generates beautiful Excalidraw architecture diagrams with perfect auto-layout, stateful editing, and architecture-aware component styling.

An MCP server that adds engineering discipline to AI-assisted development, enforcing evidence-gated TDD, security review, backup strategy, and deployment generation to turn AI-generated code into production-ready software.

An MCP server that helps transfer C4 diagrams from DrawIO and PlantUML into a DocHub architecture repository.

Gives ChatGPT read-only visibility into Paseo-managed coding sessions and repository state, letting users list running agents, review what changed since the last update, inspect bounded diffs and pull project context to reason about architecture and the next task.

Enables AI coding assistants to turn natural-language architecture and data descriptions into editable, auto-laid-out hand-drawn diagrams across 25 types, with natural-language revisions, SVG/PNG export, and an optional queryable architecture knowledge graph, fully offline without API keys.

Enables AI coding assistants to turn architecture descriptions into auto-laid-out, hand-drawn diagrams across 25 types, then revise them in natural language and export SVG/PNG. It can also persist and query a version-controlled architecture knowledge graph, fully offline without API keys.

MCP server that exposes a design system and UX rulebook as tools, enabling AI to generate UI consistent with your design tokens, components, layout rules, accessibility guidelines, and templates. It also provides a review tool to score UI proposals against the design system.

Enables AI assistants to turn plain-language descriptions of systems, flows, and data into 25 kinds of fully laid-out, hand-drawn Excalidraw diagrams — architecture, sequence, ER, swimlane, Gantt, charts and more — with auto-styling for 50+ technologies and revision in natural language. Runs fully offline, exports to SVG and PNG without a browser or Node.js, and can optionally persist the architecture as a queryable knowledge graph.

Enables AI assistants to turn architecture descriptions, flows, and data into 25 types of auto-laid-out, hand-drawn .excalidraw diagrams that stay editable, with optional SVG/PNG export and a version-controlled knowledge graph the AI can query and lint. Runs fully offline in Cursor, Claude Code, and Windsurf with no API keys, and diagrams can be revised through natural language.

Enables AI assistants to turn natural-language descriptions of systems, flows, and data into hand-drawn-style Excalidraw diagrams across 25 types—architecture, sequence, swimlane, ER, Gantt, charts and more—with automatic layout, architecture-aware styling of 50+ technologies, and export to SVG/PNG. It also lets users revise diagrams conversationally and optionally persist their system as a queryable, version-controlled architecture knowledge graph, all running fully offline with no API keys.

Lets an AI describe diagram structure in natural language and produces auto-laid-out, editable hand-drawn Excalidraw files across 25 diagram types, from architecture and sequence diagrams to ER models, swimlanes, Gantt charts, and scatter plots. Runs fully offline inside Cursor, Claude Code, and Windsurf with no API keys, and can revise diagrams or persist an architecture knowledge graph for querying and linting.