KPI-Lens
An MCP server for supply chain intelligence that enables conversational querying of eight operational KPIs and anomaly detection data through Claude. It allows users to analyze performance metrics like OTIF and inventory turnover while providing LLM-
What is KPI-Lens?
KPI-Lens is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for supply chain intelligence that enables conversational querying of eight operational kpis and anomaly detection data through claude. it allows users to analyze performance metrics like o...
An MCP server for supply chain intelligence that enables conversational querying of eight operational KPIs and anomaly detection data through Claude. It allows users to analyze performance metrics like OTIF and inventory turnover while providing LLM-
This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- An MCP server for supply chain intelligence that enables con
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx kpi-lensConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about KPI-Lens
What is KPI-Lens?
KPI-Lens is a Model Context Protocol (MCP) server that mcp server for supply chain intelligence that enables conversational querying of eight operational kpis and anomaly detection data through claude. it allows users to analyze performance metrics like otif and inventory turnover while providing llm- It connects AI assistants to external tools and data sources through a standardized interface.
How do I install KPI-Lens?
Follow the installation instructions on the KPI-Lens GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with KPI-Lens?
KPI-Lens works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is KPI-Lens free to use?
Yes, KPI-Lens is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
KPI-Lens Alternatives — Similar Analytics Servers
Looking for alternatives to KPI-Lens? Here are other popular analytics servers you can use with Claude, Cursor, and VS Code.
OpenMetadata
★ 14.0kOpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration.
Superset
★ 10.9kAn MCP server that provides AI assistants with full access to Apache Superset instances, enabling interaction with dashboards, charts, datasets, databases, and SQL execution capabilities.
Horizon
★ 4.4k📡 Your own AI-powered news radar. Generates daily briefings in English & Chinese. | 用 AI 构建你专属的新闻雷达
MCP Server Chart
★ 4.1kEnables generation of 25+ types of charts and data visualizations using AntV, including bar charts, line charts, maps, mind maps, and specialized diagrams like fishbone and sankey charts. Supports both statistical charts and geographic visualizations
Muapi CLI
★ 997Official CLI for muapi.ai — generate images, videos & audio from the terminal. MCP server, 14 AI models, npm + pip installable.
Weather MCP Server
★ 907Weather Data Fetcher MCP server built with Node.js, MCP SDK, and Zod. Provides weather details like temperature and forecast for cities such as Noida and Delhi via a registered tool. Simplifies API integration, enabling structured responses for clien
Browse More Analytics MCP Servers
Explore all analytics servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up KPI-Lens in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use KPI-Lens?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.