fastapi_mcp

★ 12.0k

hwp-mcp

★ 98

fastapi_mcp vs hwp-mcp

Q: Which is better, fastapi_mcp or hwp-mcp?

By GitHub stars, fastapi_mcp has more community adoption, but the best choice depends on your specific use case.

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.; hwp-mcp: hwp-mcp is an MCP server for reading and writing Korean Hangul (.hwp / .hwpx) documents from Claude, Cursor, ChatGPT and any MCP-compatible client. It supports reading both .hwp and .hwpx formats, and writing (find/replace, template filling, new document creation) for .hwpx. Built on top of the rhwp engine, it provides 34 MCP tools for text manipulation, table editing, image handling, rendering, and document creation.

TL;DR

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).

Read fastapi_mcp full review →

hwp-mcpDev Tooling · ★ 98

Automate reading and extracting content from Korean government or business Hangul documents

Read hwp-mcp full review →

Side-by-Side Comparison

Field

fastapi_mcp

hwp-mcp

Features

fastapi_mcp

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

hwp-mcp

01Read both .hwp and .hwpx formats extracting text, tables, images, headers, footnotes, and equations

02Write to .hwpx: text replacement, template filling, paragraph/table cell editing, image manipulation

03Render pages to SVG, HTML, and extract equations as SVG

04Create new .hwpx documents with text content

05Perform structural edits: add/delete rows, columns, merge cells, insert/delete images

Use Cases

fastapi_mcp

↳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.

hwp-mcp

↳Automate reading and extracting content from Korean government or business Hangul documents

↳Fill templates with dynamic data (e.g., name, date) in .hwpx files using natural language commands

↳Create and edit Hangul documents programmatically via AI assistants like Claude or Cursor

Best For

fastapi_mcp

Most PopularEssential

hwp-mcp

—

FAQ

What is the difference between fastapi_mcp and hwp-mcp?

Both fastapi_mcp and hwp-mcp are in the Dev Tooling category. fastapi_mcp has 12.0k stars, while hwp-mcp has 98 stars.

Which is better, fastapi_mcp or hwp-mcp?

The best choice depends on your use case. Choose fastapi_mcp if Integrating FastAPI services as tools for large language models (LLMs) that support MCP., and hwp-mcp if Automate reading and extracting content from Korean government or business Hangul documents.

Is fastapi_mcp free or open source?

Yes, fastapi_mcp is open source on GitHub (MIT).

Is hwp-mcp free or open source?

Yes, hwp-mcp is open source on GitHub (MIT).

Cloud Infrastructure

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit

→

Alternatives to fastapi_mcp →Alternatives to hwp-mcp →fastapi_mcp details →hwp-mcp details →

TL;DR

Side-by-Side Comparison

Features

Use Cases

Best For

FAQ

Deploy on DigitalOcean

Related