Containarium
★ 310
vs
fastapi_mcp
★ 12.0k
Containarium vs fastapi_mcp
Containarium: Containarium is an open-source, self-hostable, agent-native sandbox that provides persistent, isolated, and real Linux environments for AI agents to build, install, deploy, and verify their work. It runs as a single-host platform using LXC containers, exposing its administration via MCP and CLI, and includes an in-container MCP server for direct shell execution and file operations.; 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
ContainariumDev Tooling · ★ 310
AI-agent sandboxes for development, testing, and deployment.
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
Containariumfastapi_mcpCategory
Dev Tooling
Dev Tooling
Stars
★ 310
★ 12.0k
License
Apache-2.0
MIT
Install Command
curl -fsSL https://raw.githubusercontent.com/footprintai/containarium/main/hacks/install.sh | sudo bash
uv add fastapi-mcp
Updated
1d ago
11mo ago
Open Source
Yes
Yes
Tags
AI Agents, Sandbox, Self-hosting
FastAPI, MCP, Python
03
Features
Containarium01Agent-native sandboxes for AI agents (Cursor, Claude Code, OpenCode) with persistent state and real Linux environments.
02Self-hostable platform supporting multiple operating systems (Ubuntu, Rocky Linux, RHEL, Windows Server) and GPU passthrough.
03Unified API and CLI for container lifecycle management, port exposure, and SSH configuration.
04Robust security primitives including unprivileged LXC, per-user proxy accounts, JWT authentication with RBAC, and audit logs.
05Experimental Kubernetes backend to run agent boxes as pods in existing Kubernetes clusters.
fastapi_mcp01Authentication 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
Containarium↳AI-agent sandboxes for development, testing, and deployment.
↳Shared developer environments with per-user isolation on a single host.
↳ML / GPU experimentation environments with PCI-level GPU passthrough.
↳CI / build infrastructure with long-lived build hosts and warm caches.
↳Education, bootcamps, and workshops requiring isolated Linux environments per student.
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.
05
Best For
ContainariumHidden Gem
fastapi_mcpMost PopularEssential
FAQ
FAQ
What is the difference between Containarium and fastapi_mcp?
Both Containarium and fastapi_mcp are in the Dev Tooling category. Containarium has 310 stars, while fastapi_mcp has 12.0k stars.
Which is better, Containarium or fastapi_mcp?
The best choice depends on your use case. Choose Containarium if AI-agent sandboxes for development, testing, and deployment., and fastapi_mcp if Integrating FastAPI services as tools for large language models (LLMs) that support MCP..
Is Containarium free or open source?
Yes, Containarium is open source on GitHub (Apache-2.0).
Is fastapi_mcp free or open source?
Yes, fastapi_mcp is open source on GitHub (MIT).
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