io.github.xplainable/xplainable-mcp-servercloud

xplainable-mcp-server

Verified · today

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

Install

claude mcp add --transport http xplainable-mcp-server https://mcp.xplainable.io/mcp

Our take

This server is aimed at training, explaining, optimizing, and deploying transparent or glass-box machine-learning models through workflow tools. It is for teams that care about interpretable ML and want those operations exposed to agents, rather than for general-purpose model building. The positioning is specific and technically coherent, but the lack of adoption signals makes it look more like a specialized integration than an established standard.

reviewed by hand · 2026-08-19

Something wrong or dead here? Report it

Verification record

last verified: today
github stars: 1
last commit: today
archived: no
license: MIT
in registry since: 2026-08-19

github.com/xplainable/xplainable-mcp-server

More in cloud

mcp-servercloud

Netdata

Verified · 12 days ago

Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.

hand-reviewed80k starschecked 12 days ago

kubefwdcloud

kubefwd

Verified · 2 days ago

Kubernetes port forwarding for local development with automatic /etc/hosts entries.

hand-reviewed4.2k starschecked 2 days ago

mcp

Verified · 10 days ago

Cloudflare MCP servers

hand-reviewed4.0k starschecked 10 days ago

azurecloud

Azure MCP Server

Verified · 9 days ago

All Azure MCP tools to create a seamless connection between AI agents and Azure services.

hand-reviewed3.6k starschecked 9 days ago

radarcloud

Radar

Verified · 13 days ago

Kubernetes visibility for AI agents: query workloads, events, logs, topology, and Helm releases.

hand-reviewed2.7k starschecked 13 days ago

kubernetes-mcp-servercloud

kubernetes-mcp-server

Verified · 5 days ago

A Model Context Protocol (MCP) server for Kubernetes and OpenShift

hand-reviewed2.0k stars15k dl/wkchecked 5 days ago