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.
MCP
Comet-ML/Opik-MCP
Added 1 June 2026
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
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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