Xplainable Mcp Server

io.github.xplainablev1.0.0Updated Sep 23, 2026

Train, explain, optimise and deploy transparent glass-box ML models via workflow tools.

VerifiedStreamable HTTPWeb executableFiles & StorageProductivity & WorkflowCloud & Infrastructure

Installation

In SourceWeft

  1. Open Xplainable Mcp Server in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "xplainable-mcp-server": {
      "type": "http",
      "url": "https://mcp.xplainable.io/mcp"
    }
  }
}

Tools

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Version history

1
  1. v1.0.0LatestSep 16, 2026