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Opik MCP Server

@comet-ml

代码仓库主页

基本信息

分类

开发工具

许可证

Apache-2.0

传输方式

stdio

作者

comet-ml

提交者

Vincent Koc

关于 Opik MCP Server

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Opik MCP Server 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

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.

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