opik-mcp MCP Server
comet-ml/opik-mcp
[](https://agentrank-ai.com/tool/comet-ml--opik-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Model Context Protocol (MCP) server for Opik, the open-source LLM observability and evaluation platform, built by Comet. Read traces, log scores, and manage prompts from Claude Code, Cursor, or VS Code.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
comet-ml/opik-mcp is a Python MCP server licensed under Apache-2.0. Model Context Protocol (MCP) server for Opik, the open-source LLM observability and evaluation platform, built by Comet. Read traces, log scores, and manage prompts from Claude Code, Cursor, or VS Code. Topics: mcp-server, claude-code, llm-observability, mcp, model-context-protocol, opik, python, generative-ai.
Ranked #901 out of 24846 indexed tools.
In the top 4% of all indexed tools.
Has 17 contributors.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
222 stars → growing community
Last commit 6d ago → actively maintained
29/45 issues closed → decent issue management
17 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
Matched Queries
From the README
# Opik MCP Server **The official Model Context Protocol (MCP) server for [Opik](https://github.com/comet-ml/opik), the open-source LLM observability and evaluation platform, built by [Comet](https://www.comet.com).** Plug your AI host (Claude Code, Cursor, VS Code Copilot, Codex, opencode, or any MCP client) directly into your Opik workspace: read traces, log scores, and save prompt versions, all from the chat. Built for LLM engineers who already run Opik and want to drive it from the same AI assistant they code with. ``` You: "Which traces in project 'demo' failed today?" Claude: → list(entity_type="trace", project_name="demo") → "Three traces failed…" You: "Score trace 7f2e… 0.9 on helpfulness with reason 'great recovery'." Claude: → write(score.create) → done ``` --- ## Quick start Asking a coding agent to set it up? It follows [Install with a coding agent](#install-with-a-coding-agent). One command registers the server with the AI clients on your machine, installs theRead full README on GitHub →
Get the weekly AgentRank digest
Top movers, new tools, ecosystem insights — straight to your inbox.