io.github.comet-ml/opik-mcp
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Publisher-provided title
Opik
Publisher-provided description
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
Summary by lookupd
Lets an agent read and score LLM traces, experiments, datasets and prompts stored in Opik.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http opik https://www.comet.com/opik/api/v1/mcp
Claude Code, pypi package (stdio)
claude mcp add opik -- uvx opik-mcp
Codex, remote (streamable-http)
codex mcp add opik --url https://www.comet.com/opik/api/v1/mcp
Codex, pypi package (stdio)
codex mcp add opik -- uvx opik-mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"opik": {
"url": "https://www.comet.com/opik/api/v1/mcp"
}
}
}Cursor, pypi package (stdio) → .cursor/mcp.json
{
"mcpServers": {
"opik": {
"command": "uvx",
"args": [
"opik-mcp"
]
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Details
- Version: 3.0.9
- Transports: streamable-http, stdio
- Uptime (7 days): 100%
- First indexed:
- Last seen in registry:
- Repository: https://github.com/comet-ml/opik-mcp
- Website: https://www.comet.com/docs/opik/mcp-server
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