# credit-risk-intelligence-mcp

> credit-risk-intelligence-mcp — alessandro-donnini-credit-risk-intelligence-system. Use this tool when you need to assess credit risk through natural language interactions, leveraging deterministic models for probability of default, SHAP explanations, and financial ratio analysis. It solves problems related to creditworthiness evaluation, providing AI agents with insights into borrower reliability. The tool accepts financial data as input and outputs credit risk assessments and explanatory metrics.

Canonical page: https://skillsregistry.net/skills/alessandro-donnini-credit-risk-intelligence-system  
JSON: https://api.skillsregistry.net/v1/skills/alessandro-donnini-credit-risk-intelligence-system

## Description

MCP server that exposes the credit scoring model's deterministic tools (probability of default, SHAP explanations, typicality check, financial ratios) to AI agents, enabling natural language credit risk assessment.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/itmjg1ocqj)
- **Repository:** <https://github.com/Alessandro-Donnini/credit-risk-intelligence-system>

## 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": "alessandro-donnini-credit-risk-intelligence-system"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alessandro-donnini-credit-risk-intelligence-system` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alessandro-donnini-credit-risk-intelligence-system/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