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ironcurtain vs fastapi_mcp
ironcurtain logo
ironcurtain
★ 476
vs
fastapi_mcp logo
fastapi_mcp
★ 11.9k

ironcurtain vs fastapi_mcp

ironcurtain: IronCurtain provides a secure runtime for autonomous AI agents, enforcing security policies derived from human-readable constitutions to prevent issues like prompt injection. It ensures agents operate within defined boundaries through mechanisms like V8 isolates and a policy engine that mediates all tool calls.; 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

ironcurtain logoChoose ironcurtain if…

Securely Automating Development Tasks: Allowing AI agents to manage files and execute Git operations like cloning and pushing changes within defined security boundaries.

fastapi_mcp logoChoose fastapi_mcp if…

Integrating FastAPI services as tools for large language models (LLMs) that support MCP.

02

Side-by-Side Comparison

Field
ironcurtain logoironcurtain
fastapi_mcp logofastapi_mcp
Category
Security & Safety
Security & Safety
Stars
★ 476
★ 11.9k
License
Apache-2.0
MIT
Updated
2d ago
6mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Security, Runtime
FastAPI, MCP, Python
03

Features

ironcurtain logoironcurtain
01Constitution-driven Security Policy: Define security intent in plain English, which is then compiled into deterministic and enforceable rules.
02Semantic Interposition & Runtime Enforcement: All agent interactions and tool calls are routed through a policy engine that allows, denies, or escalates based on policy.
03Untrusted Agent Model: Assumes the LLM may be compromised (e.g., by prompt injection or drift), enforcing security at the boundary regardless of the model's behavior.
04Multi-mode Operation: Supports both an internal LLM agent running in a V8 sandbox (Code Mode) and external agents running in Docker containers (Docker Agent Mode).
05Built-in Capabilities: Ships with pre-configured MCP servers for filesystem, Git, web fetching, and GitHub operations, all governed by policy.
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
04

Use Cases

ironcurtain logoironcurtain
↳Securely Automating Development Tasks: Allowing AI agents to manage files and execute Git operations like cloning and pushing changes within defined security boundaries.
↳Autonomous Code Management and Bug Fixing: Utilizing agents to fix failing tests or perform code modifications in a project workspace with robust policy enforcement.
↳Controlled API Interactions: Enabling agents to interact with web services (e.g., web search, GitHub APIs) with granular policy control over each specific API call.
↳Managing AI Agent Security in Complex Environments: Running external AI agents (e.g., Claude Code, Goose) securely within a Docker container, with IronCurtain mediating every tool call through its policy engine.
↳Remote Agent Control and Escalation Handling: Interacting with and approving agent actions via end-to-end encrypted messaging platforms like Signal.
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.
05

Best For

ironcurtain logoironcurtain
Security & SafetyLLM Infra
fastapi_mcp logofastapi_mcp
Most PopularTrendingEssential
FAQ

FAQ

What is the difference between ironcurtain and fastapi_mcp?
Both ironcurtain and fastapi_mcp are in the Security & Safety category. ironcurtain has 476 stars, while fastapi_mcp has 11.9k stars.
Which is better, ironcurtain or fastapi_mcp?
The best choice depends on your use case. Choose ironcurtain if Securely Automating Development Tasks: Allowing AI agents to manage files and execute Git operations like cloning and pushing changes within defined security boundaries., and fastapi_mcp if Integrating FastAPI services as tools for large language models (LLMs) that support MCP..
Is ironcurtain free or open source?
Yes, ironcurtain 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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