provos/ironcurtain

Description and use

**Brief Summary**
IronCurtain (provos/ironcurtain) is an open‑source, TypeScript‑based runtime that lets autonomous AI agents safely act on real‑world tools and data by enforcing policies written in plain‑English constitutions. It provides a standard Model Context Protocol (MCP) server and SDK/CLI for easy integration, making it a practical bridge between LLM assistants and enterprise tooling.

**Value**

• **Policy‑first security**: Developers define high‑level, human‑readable rules that the runtime enforces at runtime, reducing the risk of unintended actions or data leakage.
• **Standardized connectivity**: By implementing the MCP, IronCurtain offers a common interface for connecting any AI assistant to diverse back‑ends (databases, SaaS APIs, internal services) without custom glue code.
• **Accelerated development**: The provided SDK, CLI, and language metadata let teams spin up a secure agent‑tool integration in minutes, cutting down the engineering effort required to harden LLM‑driven workflows.

**Practical Adoption Path**

1. **Prototype** – Use the IronCurtain CLI to launch a local MCP server and experiment with a simple policy (e.g., “only read from the finance DB”).
2. **Integrate** – Replace existing ad‑hoc tool calls in your AI assistant with IronCurtain’s SDK methods, letting the runtime mediate every request.
3. **Scale** – Deploy the MCP server in a containerized environment (K8s, Docker) behind your corporate perimeter, and manage policies centrally via the plain‑English constitution files.
4. **Monitor & Iterate** – Leverage built‑in logging and policy‑violation alerts to refine rules and expand the set of connected tools.

**Production Readiness**
IronCurtain scores 72/100 and shows strong production signals: 399 ★ on GitHub, recent commits (as of 2026‑05‑12), active forks, and a clear TypeScript codebase with comprehensive SDK/CLI support. The project’s ecosystem activity and adoption indicate it is ready for pilot deployments, though a final security audit (license compliance, vulnerability scanning, maintainer responsiveness) is recommended before full‑scale rollout.

Use in a workflow

provos/ironcurtain helps connect AI assistants to real tools and data through a standard protocol.

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Limitations and review notes

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.