# Ridge MCP Server

> Use this tool when you need to detect and prioritize anomalies in financial data. The Ridge MCP Server enables ridge-based accounting anomaly analysis, using Ridge regression to identify unusual patterns in financial data via natural language interface. It solves problems of financial data analysis, providing outputs of anomaly detection and prioritization in response to user-inputted financial data queries.

Canonical page: https://skillsregistry.net/skills/likerberi-ridge-exam-mcp  
JSON: https://api.skillsregistry.net/v1/skills/likerberi-ridge-exam-mcp

## Description

Enables ridge-based accounting anomaly analysis in Claude Desktop, allowing users to detect and prioritize anomalies in financial data using Ridge regression via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sg5penrywz)
- **Repository:** <https://github.com/likerberi/ridge_exam_mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "likerberi-ridge-exam-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/likerberi-ridge-exam-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/likerberi-ridge-exam-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt