opik - MCP Server Deep Dive

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Overview

opik is a Model Context Protocol server that enables AI models to debug, evaluate, and monitor your llm applications, rag systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.. This server exemplifies how MCP can bridge the gap between AI capabilities and real-world applications.

Key Features

Seamless Integration: Works with any MCP-compatible AI client
Real-time Access: Provides live data and functionality to AI models
Standardized Protocol: Follows MCP specifications for reliability
Easy Setup: Quick installation and configuration process

Installation

# Install from the repository
git clone https://github.com/comet-ml/opik
cd opik
npm install

Configuration

{
  "mcpServers": {
    "opik": {
      "command": "node",
      "args": ["dist/index.js"],
      "env": {
        // Add required environment variables
      }
    }
  }
}

Use Cases

This MCP server is particularly useful for:

AI Development: Enhancing AI model capabilities with specialized functionality
Automation: Streamlining workflows through AI-powered interactions
Integration: Connecting AI models with existing systems and data sources

Community & Support

Repository: https://github.com/comet-ml/opik
Rating: 5/5 stars
Community: Join discussions on the MCP community forums

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opik: Debug, evaluate, and monitor your LLM applications...