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Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
Opik is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Opik to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
mcp add io.github.comet-ml/opik-mcp https://www.comet.com/opik/api/v1/mcpReview the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-23T16:18:14.534638Z",
"publishedAt": "2026-10-23T16:18:14.534638Z",
"statusChangedAt": "2026-10-23T16:18:14.534638Z"
}
},
"server": {
"name": "io.github.comet-ml/opik-mcp",
"icons": [
{
"src": "https://raw.githubusercontent.com/comet-ml/opik/refs/heads/main/apps/opik-documentation/documentation/static/img/opik-logo.svg",
"sizes": [
"any"
],
"theme": "light",
"mimeType": "image/svg+xml"
},
{
"src": "https://raw.githubusercontent.com/comet-ml/opik/refs/heads/main/apps/opik-documentation/documentation/static/img/logo-dark-mode.svg",
"sizes": [
"any"
],
"theme": "dark",
"mimeType": "image/svg+xml"
}
],
"title": "Opik",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://www.comet.com/opik/api/v1/mcp",
"type": "streamable-http"
}
],
"version": "3.0.7",
"packages": [
{
"version": "3.0.7",
"transport": {
"type": "stdio"
},
"identifier": "opik-mcp",
"runtimeHint": "uvx",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"environmentVariables": [
{
"name": "OPIK_API_KEY",
"isSecret": true,
"description": "Opik API key, for Opik Cloud and self-hosted Comet. Leave unset for open-source Opik."
},
{
"name": "OPIK_WORKSPACE",
"description": "Workspace name: the segment after comet.com/opik/ in your Opik URL. Leave unset for open-source Opik."
},
{
"name": "OPIK_URL",
"description": "Opik REST API base, for open-source Opik.",
"placeholder": "http://localhost:5173/api"
},
{
"name": "COMET_URL_OVERRIDE",
"description": "Base URL of a self-hosted Comet platform; Opik's API is <url>/opik/api.",
"placeholder": "https://comet.example.com"
}
]
}
],
"repository": {
"url": "https://github.com/comet-ml/opik-mcp",
"source": "github"
},
"websiteUrl": "https://www.comet.com/docs/opik/mcp-server",
"description": "Read and score Opik traces, experiments, datasets and prompts from your AI assistant."
}
}