82ch/MCP-Dandan
by Various
MCP Security Solution for Agentic AI — real-time proxying, behavior analysis, and malicious tool detection
MCP
82ch/MCP-Dandan
Added 1 June 2026
Overview
82ch/MCP-Dandan is an open-source Python tool that provides real-time proxying, behavior analysis, and malicious tool detection for MCP-based agentic AI systems. It acts as a security layer to monitor and filter interactions between agents and tools.
Best for
Best for
Developers building or deploying MCP servers who need a lightweight security layer for agent interactions.
Use cases
- Securing MCP servers against unauthorized or harmful tool calls
- Monitoring AI agent behavior in real time to detect anomalies
- Integrating into agent workflows to block malicious actions
How to use
Install
npm run install-all Tools exposed
npmgit
Example client config
MISTRAL_API_KEY=<your_mistral_api_key> Notes
82ch/MCP-Dandan is an open-source Python tool that provides real-time proxying, behavior analysis, and malicious tool detection for MCP-based agentic AI systems. It acts as a security layer to monitor and filter interactions between agents and tools.
63 stars on GitHub. Last updated 2025-12-14. Licensed MIT.
Use cases
- Securing MCP servers against unauthorized or harmful tool calls
- Monitoring AI agent behavior in real time to detect anomalies
- Integrating into agent workflows to block malicious actions
Pros
- Real-time security monitoring for agent-tool interactions
- Behavior analysis adds contextual threat detection
- Open-source Python implementation for easy customization
Cons
- Small community with only 63 stars, indicating limited adoption
- Scope is narrow to MCP-based agent systems, not general AI security
- May lack extensive documentation and production hardening
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Real-time security monitoring for agent-tool interactions
- Behavior analysis adds contextual threat detection
- Open-source Python implementation for easy customization
Cons
- Small community with only 63 stars, indicating limited adoption
- Scope is narrow to MCP-based agent systems, not general AI security
- May lack extensive documentation and production hardening
Pairs with
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