# Opik MCP Server

> Use this tool when you need to integrate Opik features into your development environment and manage projects efficiently. It solves problems of fragmented workflow and limited access to features by providing a unified interface for prompts, projects, and metrics. With support for git and multiple transport options, it offers flexible integration into various IDEs and environments.

Canonical page: https://skillsregistry.net/skills/comet-ml-opik-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/comet-ml-opik-mcp-server

## Description

Integrate seamlessly with your IDE and access all Opik features through a standardized protocol. Manage prompts, projects, and metrics efficiently with a unified interface. Leverage multiple transport options for flexible integration into various environments.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/comet-ml/opik-mcp-server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "comet-ml-opik-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/comet-ml-opik-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/comet-ml-opik-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt