Ridge MCP Server

Detect and prioritize accounting anomalies in financial data using Ridge regression.

Source

third_party_registry

Updated

2026-07-07

// securityCaution

Runs locally
Open source

Running security audit…

Credentials
Network egress
Code execution
Data access
Supply chain

// install

Copy the install command and let the AI configure it · recommended for beginners

No copy-paste install info for "Ridge MCP Server" yet — see the docs or source repo.

// examples

Identify abnormal journal entries

Prompt

Use Ridge regression to analyze this general ledger data, identify the most abnormal journal entries, rank them by anomaly severity, and explain the main reason for each anomaly.

Expected

A ranked list of anomalous journal entries with anomaly scores and reason summaries.

Screen monthly financial anomalies

Prompt

Analyze this month’s financial data for anomalous transactions, prioritize the records most worth reviewing, and summarize the likely risk types involved.

Expected

A priority-ranked list of anomalous transactions with likely risk categories and brief explanations.

Compare anomaly patterns across departments

Prompt

Run a Ridge-based anomaly analysis on the financial data by department, compare anomaly patterns across departments, and identify which departments have the highest anomaly concentration.

Expected

A department comparison showing anomaly counts, severity distribution, and key areas of concern.