広告掲載
MCP.so
ログイン

Opik MCP Server

@comet-ml

リポジトリホームページ

基本情報

カテゴリ

開発者ツール

ライセンス

Apache-2.0

トランスポート

stdio

作者

comet-ml

投稿者

Vincent Koc

Opik MCP Server について

Model Context Protocol (MCP) implementation for Opik enabling seamless IDE integration and unified access to prompts, projects, traces, and metrics.

#typescript#generative-ai#mcp-server#modelcontextprotocol

Opik MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "opik-mcp": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector",
        "uvx",
        "opik-mcp"
      ]
    }
  }
}

Opik MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Opik Mcp?

Opik Mcp is a Model Context Protocol server that connects AI hosts (Claude Code, Cursor, VS Code Copilot, MCP Inspector) directly to an Opik workspace. It lets LLM engineers read traces, log scores, save prompt versions, and ask the Opik in-product assistant Ollie investigative questions — all from the chat interface of their AI coding tool.

How to use Opik Mcp?

Install the Python package (requires Python 3.13+) via uvx opik-mcp. Configure the OPIK_API_KEY and optionally OPIK_WORKSPACE environment variables, then add the server to your MCP client config (e.g., ~/.claude.json for Claude Code, .cursor/mcp.json for Cursor, or .vscode/mcp.json for VS Code Copilot). Restart your host and ask, for example: "list my Opik projects."

Key features of Opik Mcp

  • Six outcome-oriented tools: read, list, ask_ollie, write, schema, run_experiment
  • Universal read and list by id, name, or opik:// URI
  • In-workspace investigation via Ollie with YOLO-mode auto-approval
  • Write operations: log traces, spans, scores, comments, prompt versions, test suites, experiments
  • Schema introspection for constructing valid write payloads
  • End-to-end experiment execution via Ollie on Comet Cloud

Use cases of Opik Mcp

  • Investigate why an experiment regressed on factuality by asking Ollie in chat
  • Score a trace on helpfulness directly from the AI assistant without leaving the editor
  • Browse and filter Opik projects, experiments, and traces by name or parent
  • Save new prompt versions and manage test suites through conversational commands
  • Run evaluation experiments end-to-end by sending an experiment_config dict

よくある質問

1

What does Opik Mcp require to run?

Python 3.13+, the `uv` tool, an `OPIK_API_KEY` from your Opik workspace, and optionally an `OPIK_WORKSPACE` name (defaults to `default` for local/OSS installs).

2

Where does Opik Mcp store data?

All data lives in your Opik workspace — either Comet Cloud (`www.comet.com`) or a self-hosted instance configured via `COMET_URL_OVERRIDE`. Opik Mcp is a stateless proxy; it doesn't persist data locally.

3

Are there known host limits?

Cursor enforces a 60-second tool-call timeout that doesn't reset on progress notifications, so long `ask_ollie` turns will fail on Cursor.

4

Which transports does Opik Mcp support?

It defaults to `stdio` (host-launched) and supports `streamable-http` to listen on a port. Set `OPIK_MCP_TRANSPORT=streamable-http` and configure `OPIK_MCP_HOST`/`OPIK_MCP_PORT` as needed.

5

Is `ask_ollie` or `run_experiment` available on self-hosted Opik?

No. Both `ask_ollie` and `run_experiment` are available on Comet Cloud only. On self-hosted installs, use `read`, `list`, `schema`, and `write` directly.

コメント

「開発者ツール」の他のコンテンツ

PubShip

pubship

Open-source MCP server for Google Play developer workflows. Runs locally with your own credentials.

Official Porkbun MCP Server

Porkbun LLC

Official Porkbun MCP server, maintained by Porkbun. Check domain availability and pricing, register, renew and transfer domains, and manage DNS records, nameservers, URL forwarding, glue records, DNSSEC and domain contac

32

LastPing

LastPing

Know when your AI agents, cron jobs and CI pipelines fail, stall or go quiet. Your agent sets up monitors from a plain description, tells you what is broken and why, reads run history and traces, and writes notes on inci

UXKIN

Real UI references for AI coding agents: 500,000+ real screens, 15k+ website design systems with a DESIGN.md, and 30k+ UI elements, so your agent builds UI that looks real, not AI slop.

Nebelus

Nebelus

Nebelus is an enterprise agentic-AI platform for regulated industries. This MCP server exposes the Nebelus Construction API: ~48 tools that give an MCP client full agent build parity — create/update/probe agents, edit ag

広告掲載