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Comet-ML/Opik-MCP

by Various

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

C

MCP

Comet-ML/Opik-MCP

Added 1 June 2026

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

Overview

Comet-ML/Opik-MCP implements the Model Context Protocol for Opik, enabling developers to access prompts, projects, traces, and metrics directly from their IDE. It reduces context switching by bringing Opik's observability data into the development environment.

Best for

Best for
Developers using Opik for LLM observability who want to stay in their IDE

Use cases

  • View Opik traces and metrics without leaving the IDE
  • Manage prompts and projects through MCP integration
  • Debug LLM applications using unified telemetry access

How to use

Install

npx @modelcontextprotocol/inspector uvx opik-mcp

Tools exposed

  • OPIK_WORKSPACE
  • COMET_WORKSPACE
  • COMET_WORKSPACE_ID
  • COMET_URL_OVERRIDE
  • OPIK_URL
  • OPIK_DEFAULT_PROJECT_NAME
  • OPIK_MCP_TRANSPORT
  • OPIK_MCP_HOST
  • OPIK_MCP_PORT
  • OPIK_MCP_RELOAD
  • OPIK_MCP_AS_URL
  • OPIK_MCP_RESOURCE_URI
  • OPIK_MCP_LOG_LEVEL
  • OPIK_MCP_AUTO_APPROVE
  • OPIK_MCP_ELICIT_TIMEOUT_SECONDS
  • OPIK_MCP_POD_READY_TIMEOUT_S
  • OPIK_MCP_POD_READY_INTERVAL_S
  • OPIK_MCP_HEARTBEAT_INTERVAL_S
  • OPIK_MCP_STREAM_IDLE_TIMEOUT_S
  • OPIK_MCP_ANALYTICS_ENABLED

Tested with

Claude Code, Cursor, VS Code

Notes

Comet-ML/Opik-MCP implements the Model Context Protocol for Opik, enabling developers to access prompts, projects, traces, and metrics directly from their IDE. It reduces context switching by bringing Opik’s observability data into the development environment.

206 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

  • View Opik traces and metrics without leaving the IDE
  • Manage prompts and projects through MCP integration
  • Debug LLM applications using unified telemetry access

Pros

  • Open source with 206 GitHub stars and active development
  • Python-based, easy to integrate into existing Python workflows
  • Leverages MCP standard for broad IDE compatibility

Cons

  • Requires a running Opik backend to function
  • Limited to environments that support the MCP protocol
  • Relatively new project with a small community

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open source with 206 GitHub stars and active development
  • Python-based, easy to integrate into existing Python workflows
  • Leverages MCP standard for broad IDE compatibility

Cons

  • Requires a running Opik backend to function
  • Limited to environments that support the MCP protocol
  • Relatively new project with a small community
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