"Git LFS" matching MCP servers:

Enables AI coding agents to retrieve mode and stage guidance so they can lead users through a 9-stage design workflow, including questions, required artifacts, exit criteria, dependencies, pitfalls, rollback impact, and environment requirements. It helps non-designers turn ideas into buildable HTML/WPF design specs while keeping the human in control of confirmation and revisions.

An MCP server that generates standalone SVG architecture diagrams from text descriptions, running entirely on your machine with no dependencies or network access.

Enables AI assistants to read and write ArchiMate models stored in CoArchi XML format. Query elements, create relationships, design diagrams, and sync changes to Git through natural language.

Enables AI to analyze, query, and manage a graph-based representation of software architecture for impact analysis, dependency tracking, and design.

Connects Claude AI to Blender through the Model Context Protocol, enabling AI-assisted 3D modeling, scene creation, object manipulation, material control, and integration with Poly Haven assets and Hyper3D model generation.

Enables AI agents to manage architectural Git repositories locally using a DSL declaration, with explicit remote sync and validation.

Enables AI assistants to interact with Spec Kit templates and workflows for managing project specifications, planning, and implementation through guided prompts covering constitution, specification, planning, tasks, and implementation phases.

Turns structured JSON content into resolved, audited infographic plans and renders them as SVG or executable Figma Plugin API scripts, exposing theme packs, grammars, planning, auditing and export tools over stdio. Also lets hosts inspect theme provenance and layout decisions so different tools produce identical frames.

An MCP server that gives Claude Code a curated atlas of your codebase, fusing LSP-grade structure with architectural intent from ADRs, git history, and test associations for single-call context bundles.

A deterministic, read-only MCP server that lets coding agents search Git-backed architecture decision records and retrieve decisions governing specific files. It includes rejected and superseded decisions, with no model, network, or write access.

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.

Exposes a SysML model as a GQL-queryable graph projection over streamable HTTP, letting agents read the live model at a specific git revision without grep dumps or stale trees. Agents can check revision status, run GQL reads, and propose changes without silently overwriting the author's source of truth.