The Secure MCP Control Panel
Connect AI to your data/software securely without risk of data exfiltration. Gain visibility, block threats, and get alerts on the data your agent is reading/writing.
OpenEdison solves the lethal trifecta problem, which can cause agent hijacking & data exfiltration by malicious actors.
Join our Discord for feedback, feature requests, and to discuss MCP security for your use case: discord.gg/tXjATaKgTV
📧 To get visibility, control and exfiltration blocker into AI's interaction with your company software, systems of record, DBs, Contact us to discuss.
- 🛑 Data leak blocker - Edison automatically blocks any data leaks, even if your AI gets jailbroken
- 🕰️ Deterministic execution - Deterministic execution. Guaranteed data exfiltration blocker.
- 🗂️ Easily configurable - Easy to configure and manage your MCP servers
- 📊 Visibility into agent interactions - Track and monitor your agents and their interactions with connected software/data via MCP calls
- 🔗 Simple API - REST API for managing MCP servers and proxying requests
- 🐳 Docker support - Run in a container for easy deployment
Edison helps you gain observability, control, and policy enforcement for all AI interactions with systems of records, existing company software and data. Prevent AI from causing data leakage, lightning-fast setup for cross-system governance.
The fastest way to get started:
# Installs uv (via Astral installer) and launches open-edison with uvx.
# Note: This does NOT install Node/npx. Install Node if you plan to use npx-based tools like mcp-remote.
curl -fsSL https://raw.githubusercontent.com/Edison-Watch/open-edison/main/curl_pipe_bash.sh | bash
Run locally with uvx: uvx open-edison
That will run the setup wizard if necessary.
⬇️ Install Node.js/npm (optional for MCP tools)
If you need npx
(for Node-based MCP tools like mcp-remote
), install Node.js as well:
- uv:
curl -fsSL https://astral.sh/uv/install.sh | sh
- Node/npx:
brew install node
- uv:
curl -fsSL https://astral.sh/uv/install.sh | sh
- Node/npx:
sudo apt-get update && sudo apt-get install -y nodejs npm
- uv:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
- Node/npx:
winget install -e --id OpenJS.NodeJS
After installation, ensure that npx
is available on PATH.
Install from PyPI
# Using uvx
uvx open-edison
# Using pipx
pipx install open-edison
open-edison
Run with a custom config directory:
open-edison run --config-dir ~/edison-config
# or via environment variable
OPEN_EDISON_CONFIG_DIR=~/edison-config open-edison run
Run with Docker
There is a dockerfile for simple local setup.
# Single-line:
git clone https://github.com/Edison-Watch/open-edison.git && cd open-edison && make docker_run
# Or
# Clone repo
git clone https://github.com/Edison-Watch/open-edison.git
# Enter repo
cd open-edison
# Build and run
make docker_run
The MCP server will be available at http://localhost:3000
and the api + frontend at http://localhost:3001
. 🌐
⚙️ Run from source
- Clone the repository:
git clone https://github.com/Edison-Watch/open-edison.git
cd open-edison
- Set up the project:
- Edit
config.json
to configure your MCP servers. See the full file: config.json, it looks like:
{
"server": { "host": "0.0.0.0", "port": 3000, "api_key": "..." },
"logging": { "level": "INFO", "database_path": "sessions.db" },
"mcp_servers": [
{ "name": "filesystem", "command": "uvx", "args": ["mcp-server-filesystem", "/tmp"], "enabled": true },
{ "name": "github", "enabled": false, "env": { "GITHUB_PERSONAL_ACCESS_TOKEN": "..." } }
]
}
- Run the server:
make run
# or, from the installed package
open-edison run
The server will be available at http://localhost:3000
. 🌐
🔌 MCP Connection
Connect any MCP client to Open Edison (requires Node.js/npm for npx
):
npx -y mcp-remote http://localhost:3000/mcp/ --http-only --header "Authorization: Bearer your-api-key"
Or add to your MCP client config:
{
"mcpServers": {
"open-edison": {
"command": "npx",
"args": ["-y", "mcp-remote", "http://localhost:3000/mcp/", "--http-only", "--header", "Authorization: Bearer your-api-key"]
}
}
}
🧭 Usage
See API Reference for full API documentation.
🛠️ Development
Setup from source as above.
Server doesn't have any auto-reload at the moment, so you'll need to run & ctrl-c this during development.
We expect make ci
to return cleanly.
⚙️ Configuration (config.json)
The config.json
file contains all configuration:
server.host
- Server host (default: localhost)server.port
- Server port (default: 3000)server.api_key
- API key for authenticationlogging.level
- Log level (DEBUG, INFO, WARNING, ERROR)mcp_servers
- Array of MCP server configurations
Each MCP server configuration includes:
name
- Unique name for the servercommand
- Command to run the MCP serverargs
- Arguments for the commandenv
- Environment variables (optional)enabled
- Whether to auto-start this server
🔱 The lethal trifecta, agent lifecycle management
Open Edison includes a comprehensive security monitoring system that tracks the "lethal trifecta" of AI agent risks, as described in Simon Willison's blog post:

- Private data access - Access to sensitive local files/data
- Untrusted content exposure - Exposure to external/web content
- External communication - Ability to write/send data externally

The configuration allows you to classify these risks across tools, resources, and prompts using separate configuration files.
In addition to trifecta, we track Access Control Level (ACL) for each tool call, that is, each tool has an ACL level (one of PUBLIC, PRIVATE, or SECRET), and we track the highest ACL level for each session. If a write operation is attempted to a lower ACL level, it is blocked.
Defines security classifications for MCP tools. See full file: tool_permissions.json, it looks like:
{
"_metadata": { "last_updated": "2025-08-07" },
"builtin": {
"get_security_status": { "enabled": true, "write_operation": false, "read_private_data": false, "read_untrusted_public_data": false, "acl": "PUBLIC" }
},
"filesystem": {
"read_file": { "enabled": true, "write_operation": false, "read_private_data": true, "read_untrusted_public_data": false, "acl": "PRIVATE" },
"write_file": { "enabled": true, "write_operation": true, "read_private_data": true, "read_untrusted_public_data": false, "acl": "PRIVATE" }
}
}
📁 Resource Permissions (`resource_permissions.json`)
Defines security classifications for resource access patterns. See full file: resource_permissions.json, it looks like:
{
"_metadata": { "last_updated": "2025-08-07" },
"builtin": { "config://app": { "enabled": true, "write_operation": false, "read_private_data": false, "read_untrusted_public_data": false } }
}
💬 Prompt Permissions (`prompt_permissions.json`)
Defines security classifications for prompt types. See full file: prompt_permissions.json, it looks like:
{
"_metadata": { "last_updated": "2025-08-07" },
"builtin": { "summarize_text": { "enabled": true, "write_operation": false, "read_private_data": false, "read_untrusted_public_data": false } }
}
All permission types support wildcard patterns:
- Tools:
server_name/*
(e.g.,filesystem/*
matches all filesystem tools) - Resources:
scheme:*
(e.g.,file:*
matches all file resources) - Prompts:
type:*
(e.g.,template:*
matches all template prompts)
All items must be explicitly configured - unknown tools/resources/prompts will be rejected for security.
Use the get_security_status
tool to monitor your session's current risk level and see which capabilities have been accessed. When the lethal trifecta is achieved (all three risk flags set), further potentially dangerous operations are blocked.
📚 Complete documentation available in docs/
📄 License
GPL-3.0 License - see LICENSE for details.