MCP Variance Log
M

MCP Variance Log

A conversation anomaly detection and logging system based on the MCP protocol that can automatically identify and record abnormal events in conversations in an SQLite database.
2.5 points
8.8K

What is the MCP Variance Log Server?

The MCP Variance Log Server is a tool based on the Model Context Protocol (MCP) that automatically detects statistical changes in conversations and records abnormal events in an SQLite database. It helps users better understand and analyze conversation patterns.

How to use the MCP Variance Log Server?

First, install the server and integrate it into an MCP - supported client (such as Claude Desktop). Then, enable the automatic monitoring function. When an abnormal event is detected, the system will automatically record relevant information.

Applicable Scenarios

This server is suitable for scenarios that require in - depth analysis of conversation patterns, such as customer service, market research, or personal interest research.

Main Features

Automatic Monitoring
Monitor conversation content in real - time and identify potential abnormal events.
Event Logging
Record detailed information about detected abnormal events in an SQLite database for subsequent analysis.
Flexible Querying
Quickly retrieve recorded log information through SQL queries.
Advantages
High degree of automation, capable of performing anomaly detection without manual intervention.
Supports multiple query methods, making it convenient for users to obtain required information.
Lightweight design, consuming few resources.
Limitations
Relies on the MCP protocol and may not be compatible with other systems.
The database has limited storage space, and old data may need to be cleaned up after long - term operation.

How to Use

Install the Server
Clone the project code and install dependencies using the UV tool.
Configure the Client
Add the MCP server address to the Claude Desktop configuration file.
Enable Automatic Monitoring
Enable the automatic monitoring function in the client settings.

Usage Examples

Example 1: Detecting an Abnormal Claim
A user claims to be able to lift 1000 pounds, and the server records this event.
Example 2: Detecting a Combined Abnormal Claim
A user claims to be a data scientist and able to lift 1000 pounds at the same time, and the server further records this behavior.

Frequently Asked Questions

How to install the UV tool?
How to check if the database connection is normal?
Can I export log data?

Related Resources

Official GitHub Repository
Project source code and documentation.
MCP Protocol Documentation
Understand the basics of the MCP protocol.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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