Awesome Infra for AI › LLM Observability & Tracing

comet-ml/opik-mcp

⭐ 219 Python added to this list on 2026-08-03 repository created 2025-03-11

Opik MCP Server provides a Model Context Protocol (MCP) server that acts as a bridge between various AI coding assistants (like Claude Code, Cursor, and VS Code Copilot) and the Opik LLM observability and evaluation platform by Comet. Its primary function is to enable developers to interact with Opik directly from their AI assistant's chat interface. This allows for reading LLM traces, logging evaluation scores, managing prompt versions, and querying Opik's AI assistant, Ollie, for investigative insights into model performance. The server facilitates operations such as reading project and trace data, listing experiments, test suites, and prompts, and writing scores, comments, and new prompt versions. It offers tools like 'read' for universal data retrieval, 'list' for browsing collections with filtering and pagination, 'ask_ollie' for complex investigations and cross-entity synthesis, and 'write' for comprehensive data logging and management within Opik. This tool is built for LLM engineers who use Opik and want to streamline their observability and evaluation workflows directly from their coding environment.

https://github.com/comet-ml/opik-mcp

LLM observabilityLLM evaluationprompt managementAI agentsdeveloper toolsModel Context ProtocolOpikCometClaude CodeCursorVS Code Copilot

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