# shap-mcp

> shap-mcp — manas-maker-shap-mcp. Use this tool when you need to explain complex model predictions and understand feature contributions. The shap-mcp server solves problems of model interpretability by providing SHAP values through dual stdio/HTTP transports and a built-in Web GUI, accepting model inputs and outputting explainability metrics. It is ideal for use cases where model transparency and accountability are crucial, such as in high-stakes decision-making applications.

Canonical page: https://skillsregistry.net/skills/manas-maker-shap-mcp  
JSON: https://api.skillsregistry.net/v1/skills/manas-maker-shap-mcp

## Description

A lightweight, focused Model Context Protocol (MCP) server exposing SHAP model explainability as agent-callable tools with dual stdio/HTTP transports and a built-in Web GUI.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rhts1myuwb)
- **Repository:** <https://github.com/Manas-maker/shap-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": "manas-maker-shap-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/manas-maker-shap-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/manas-maker-shap-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