# 82ch/MCP-Dandan [Health: Active]

**Category:** 🔒 Security  
**Repository:** https://github.com/82ch/MCP-Dandan  
**GitHub Stars:** 66  
**Views:** 6  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/82ch-mcp-dandan

## Description
Real-time security framework for MCP servers that detects and blocks malicious AI agent behavior by analyzing tool call patterns and intent across multiple threat detection engines.

## Claude Desktop Quick Installation
Heuristic fallback — verify the package name and runner against the repository README before running it. Uses `npx` (confidence: low):

```json
"mcpServers": {
  "mcp-dandan": {
    "command": "npx",
    "args": ["-y","82ch-mcp-dandan"]
  }
}
```

## Documentation

## What 82ch/MCP-Dandan MCP server does

82ch/MCP-Dandan MCP server provides a local monitoring application for MCP communications. It observes traffic, analyzes tool calls, displays findings in an Electron desktop interface, and supports user-controlled blocking of detected threats. The project targets Windows, macOS, and Linux and includes an interactive tutorial for learning the interface.

The detection layer covers several threat categories:

- Command injection patterns in tool calls
- Unauthorized or suspicious file-system access
- Potential PII exposure
- Suspicious data-transfer behavior
- Tool poisoning or misuse based on semantic analysis

The PII detection engine includes built-in rules and supports custom rules. The tool-poisoning engine compares tool specifications with actual use, produces an alignment score from 0 to 100, and assigns a severity level of none, low, medium, or high.

## How it works

82ch/MCP-Dandan MCP server runs a local service at `http://127.0.0.1:8282` and launches an Electron desktop application when started with the development command. The application presents a real-time dashboard for MCP traffic and threats, a blocking interface for reviewing actions, a settings panel for detection behavior, and a chat panel for interacting with the system and viewing logs.

Detection is divided into separate engines so users can configure the checks and system behavior from the settings interface. Most engines are described as pattern- or behavior-based checks. Tool poisoning uses an LLM-based semantic analysis engine and is separate from the other detection functions.

## Setup and configuration

To run 82ch/MCP-Dandan MCP server, clone the GitHub repository, change into its directory, and install both Python and Node.js dependencies with the project’s `npm run install-all` command. Start the server and desktop interface with `npm run dev`. The README states that the server listens on the local loopback address and that the Electron application opens automatically.

The tool-poisoning engine requires a `MISTRAL_API_KEY`. The README specifically instructs users to enter this key to enable that engine. Detection settings can then be adjusted in the application. The provided material does not document additional environment variables, configuration-file formats, or deployment instructions.

## Tools and capabilities

82ch/MCP-Dandan MCP server is suited to local inspection and control of MCP traffic rather than to a single external data source. Its documented capabilities include real-time traffic monitoring, threat detection across five engine types, custom PII rules, severity scoring for tool poisoning, an interactive tutorial, and real-time blocking with user control.

The repository does not provide a separate list of MCP tool names or describe a hosted endpoint. It presents the project as an integrated monitoring service with a desktop UI.

## Limitations and notes

The README does not specify detection accuracy, supported MCP client configurations, or how the monitoring service is connected to a particular client or server. Tool poisoning analysis depends on a Mistral API key, while the material does not state whether other engines require credentials. Further technical details are deferred to the project wiki.

The project is distributed under the MIT license. The supplied instructions describe development-style startup after cloning the repository; they do not document a packaged installer or a standalone remote deployment.

_Full upstream README: https://allmcps.com/mcp/82ch-mcp-dandan/readme_