agent-jail-mcp
Provides MCP tools for managing disposable Docker sandboxes that let AI agents safely execute commands in isolated, ephemeral environments.
README
🔒 Agent Jail
Ephemeral Docker sandboxes for AI agents
Give your AI agent a jail, not your machine.
Live Demo · Pricing · API Docs
</div>
🎯 What is Agent Jail?
Agent Jail provides disposable, isolated Docker sandboxes for AI agents. Instead of letting agents run commands directly on your machine, Agent Jail creates ephemeral containers where agents can safely execute code.
Perfect for:
- 🤖 AI code execution (ChatGPT, Claude, etc.)
- 🧪 Testing untrusted code safely
- 🔬 Research environments
- 📚 Educational platforms
- 🏗️ CI/CD pipelines
✨ Features
Core
- ✅ Disposable sandboxes — auto-cleanup after TTL
- ✅ Docker isolation — true containerization
- ✅ Resource limits — RAM/CPU caps per tier
- ✅ Network isolation — optional per sandbox
- ✅ TTL-based cleanup — automatic expiration
Multi-tenant Platform
- 🔐 Self-serve auth — email/password signup (no API key needed initially)
- 💎 3 tiers — Free / Pro / Enterprise with enforced quotas
- 💰 Crypto billing — pay with USDT/TON/BTC via NOWPayments
- ⚡ Auto-upgrade — webhook → instant tier activation
- 📊 Usage tracking — full audit log per user
Interfaces
- 🖥️ Web dashboard — manage sandboxes visually
- 🔌 REST API — full programmatic control
- 🤖 Telegram bot — bilingual (FA/EN) glass-button UI
- 🔧 MCP server — for AI clients (Claude Desktop, etc.)
🚀 Quick Start
1. Clone & Install
git clone https://github.com/idiscoord13-sketch/agent-jail-mcp.git
cd agent-jail-mcp
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.