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Defenter Proxy Server
- python
3
GitHub Stars
python
Language
4 months ago
First Indexed
2 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"defenter-ai-defenter-proxy": {
"command": "defenter-proxy",
"args": [
"--name",
"<wrapper-name>",
"--wrapped-config",
"<mcp-config-json>"
]
}
}
}Defenter Proxy Server provides a transparent 1:1 MCP wrapper with security middleware to enforce policies in real time and visually monitor MCP traffic. It sits between AI clients and MCP servers to redact secrets, consult cloud policies, and obtain user confirmation for sensitive operations.
How to use
You will run the Defenter proxy to wrap your MCP servers so all client requests and responses pass through redaction and policy checks. The simplest usage pattern is to invoke the Defenter command to start the proxy with the target MCP configuration. When a policy requires confirmation or blocks an operation, a user dialog will appear to capture your choice before proceeding.
How to install
Prerequisites: ensure you have Python 3.11 installed on your system. The project declares dependencies managed by a Python project configuration (pyproject.toml). You may need a tool to install dependencies and run the proxy, such as a package manager or a build tool compatible with Python projects.
Additional sections
Configuration and operation details describe the proxy’s flow: it wraps an MCP server, intercepts requests, redacts secrets and PII client-side, consults a cloud policy engine with the redacted payload, and acts based on the policy decision and any required user confirmation. Visual monitoring logs are available to track MCP operations. The CLI provides a concrete way to start the proxy by supplying a wrapper name and the wrapped MCP configuration.
Available tools
Wrapper server
Creates a transparent 1:1 MCP wrapper that sits between AI clients and MCP servers.
Security middleware
Intercepts MCP operations to enforce security checks.
Redaction engine
Client-side redaction of secrets and PII before data is sent to Defenter cloud.
Policy engine integration
Cloud-powered policy decisions analyzed on redacted payloads with local user confirmation when required.
Monitoring module
Visual monitoring and logging of MCP operations.
UI dialogs
Cross-platform confirmation dialogs used to approve or block operations when policy requires user input.