fastapi_mcp logo
fastapi_mcp
★ 12.0k
vs
deepseek-pp logo
deepseek-pp
★ 1.9k

fastapi_mcp vs deepseek-pp

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.; deepseek-pp: DeepSeek++ is a browser extension for Chrome, Edge, and Firefox that injects native-style tool calling, an MCP tool system, long-term memory, skill presets, and automated task scheduling into the DeepSeek web interface. It intercepts the SSE response stream in real time to execute tool calls transparently, giving DeepSeek persistent cross-session memory and agent-like automation without API access.

01

TL;DR

fastapi_mcp logo
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).
deepseek-pp logo
deepseek-ppDev Tooling · ★ 1.9k

Giving DeepSeek persistent memory across conversations without API access

02

Side-by-Side Comparison

Field
fastapi_mcp logofastapi_mcp
deepseek-pp logodeepseek-pp
Category
Dev Tooling
Dev Tooling
Stars
★ 12.0k
★ 1.9k
License
MIT
Apache-2.0
Install Command
uv add fastapi-mcp
git clone https://github.com/zhu1090093659/deepseek-pp.git cd deepseek-pp npm install npm run build
Updated
11mo ago
2mo ago
Open Source
Yes
Yes
Tags
FastAPI, MCP, Python
agentic-ai, ai-memory, automation
03

Features

fastapi_mcp logofastapi_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
deepseek-pp logodeepseek-pp
01XML tool protocol injected into prompts for native-style tool calling without API
02Real-time SSE stream interception to execute memory_save/update/delete automatically
03MCP tool system supporting Streamable HTTP, HTTP POST, SSE, and stdio bridge
04Persistent cross-session memory stored locally via IndexedDB
05Skill system with /skill commands for switching expert personas
04

Use Cases

fastapi_mcp logofastapi_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.
deepseek-pp logodeepseek-pp
↳Giving DeepSeek persistent memory across conversations without API access
↳Connecting DeepSeek web to local MCP tools and external services
↳Automating recurring tasks with scheduled prompts in isolated sessions
05

Best For

fastapi_mcp logofastapi_mcp
Most PopularEssential
deepseek-pp logodeepseek-pp
—
FAQ

FAQ

What is the difference between fastapi_mcp and deepseek-pp?
Both fastapi_mcp and deepseek-pp are in the Dev Tooling category. fastapi_mcp has 12.0k stars, while deepseek-pp has 1.9k stars.
Which is better, fastapi_mcp or deepseek-pp?
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 deepseek-pp if Giving DeepSeek persistent memory across conversations without API access.
Is fastapi_mcp free or open source?
Yes, fastapi_mcp is open source on GitHub (MIT).
Is deepseek-pp free or open source?
Yes, deepseek-pp is open source on GitHub (Apache-2.0).
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