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opik-mcp MCP Server

comet-ml/opik-mcp

Score: 85.1 ↑ 18% Rank #901 Monitoring
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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.

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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

Python Apache-2.0
mcp-serverclaude-codellm-observabilitymcpmodel-context-protocolopikpythongenerative-ai

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 222

222 stars → growing community

Freshness 25% 6d ago

Last commit 6d ago → actively maintained

Issue Health 25% 64%

29/45 issues closed → decent issue management

Contributors 10% 17

17 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 38
Description Detailed
License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

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Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"topic:mcptopic:mcp-servertopic:model-context-protocol

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
the
Read full README on GitHub →

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