archlang
★ 24
vs
fastapi_mcp
★ 12.0k
archlang vs fastapi_mcp
archlang: ArchLang is an open-source declarative language for floor plans, compiling .arch source into precise, byte-identical SVG, DXF, and PDF drawings. It enables AI agents to author, lint, validate, and self-correct architectural designs programmatically without needing visual rendering.; fastapi_mcp: FastAPI-MCP allows you to expose your existing FastAPI endpoints as Model Context Protocol (MCP) tools. It offers native integration with FastAPI, including built-in authentication using existing dependencies, and preserves schemas and documentation.
01
TL;DR
archlangDev Tooling · ★ 24
Programmatic generation of precise, reproducible architectural floor plans.
fastapi_mcpDev Tooling · ★ 12.0k
When to choose:
- You already have a FastAPI application and want to expose its endpoints as MCP tools while reusing your existing FastAPI authentication dependencies and Swagger schemas.
- You want to mount the MCP server directly onto your ASGI app or deploy it separately under an MIT license.
When to skip:
- You are building a standalone MCP server from scratch rather than wrapping a FastAPI app; use FastMCP or the official MCP Python SDK.
- You need an actively updated repository (last push was November 2025).
02
Side-by-Side Comparison
Field
Category
Dev Tooling
Dev Tooling
Stars
★ 24
★ 12.0k
License
MIT
MIT
Install Command
npm install @chanmeng666/archlang
uv add fastapi-mcp
Updated
1d ago
11mo ago
Open Source
Yes
Yes
Tags
Domain-Specific Language, Architectural Design, Floor Plan Generator
FastAPI, MCP, Python
03
Features
01Professional architectural rendering with automatic details like hatched walls, door swing arcs, and furniture symbols.
02Architectural soundness checks and linting that encode professional knowledge to detect design flaws.
03Models human circulation paths using a navigation grid to analyze walk distances, pinch points, and route efficiency.
04Compiler returns structured diagnostics with machine-applicable fixes, enabling robust self-correction loops for AI agents.
05Supports multiple output formats (SVG, DXF, PDF, PNG, TXT) and offers IDE-grade tooling with a VS Code extension and LSP.
01Authentication built in, using your existing FastAPI dependencies!
02FastAPI-native: Not just another OpenAPI -> MCP converter
03Zero/Minimal configuration required
04Preserving schemas of your request models and response models
05Flexible deployment - Mount your MCP server to the same app, or deploy separately
04
Use Cases
↳Programmatic generation of precise, reproducible architectural floor plans.
↳Empowering AI agents to design, validate, and iteratively refine architectural layouts.
↳Integrating automated floor plan rendering and validation into CI/CD pipelines or documentation workflows.
↳Developing specialized AI design tools that require deterministic geometric output and textual plan interrogation.
↳Integrating FastAPI services as tools for large language models (LLMs) that support MCP.
↳Enabling LLMs to interact with and utilize existing business logic and data exposed via FastAPI.
↳Quickly exposing authenticated FastAPI APIs as discoverable and usable tools within an MCP ecosystem.
05
Best For
—
Most PopularEssential
FAQ
FAQ
What is the difference between archlang and fastapi_mcp?
Both archlang and fastapi_mcp are in the Dev Tooling category. archlang has 24 stars, while fastapi_mcp has 12.0k stars.
Which is better, archlang or fastapi_mcp?
The best choice depends on your use case. Choose archlang if Programmatic generation of precise, reproducible architectural floor plans., and fastapi_mcp if Integrating FastAPI services as tools for large language models (LLMs) that support MCP..
Is archlang free or open source?
Yes, archlang is open source on GitHub (MIT).
Is fastapi_mcp free or open source?
Yes, fastapi_mcp is open source on GitHub (MIT).
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