# Xplainable MCP Server

> Xplainable MCP Server — xplainable-xplainable-mcp-server. Use this tool when you need to securely manage and deploy machine learning models, or require controlled access to AI platform capabilities. It solves problems related to model deployment, reporting, and access control, providing a secure interface for read and write operations. The Xplainable MCP Server takes in authenticated requests and returns managed models, deployments, and reports, making it ideal for use cases involving AI model lifecycle management.

Canonical page: https://skillsregistry.net/skills/xplainable-xplainable-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/xplainable-xplainable-mcp-server

## Description

Enables secure access to Xplainable AI platform capabilities for managing machine learning models, deployments, and preprocessors. Supports both read operations (listing models, deployments) and write operations (deploying models, generating reports) with proper authentication and rate limiting.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vq1ykxl5fl)
- **Repository:** <https://github.com/xplainable/xplainable-mcp-server>

## 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": "xplainable-xplainable-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xplainable-xplainable-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xplainable-xplainable-mcp-server/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