Opik Mcp Server (model Context Protocol)

What is Opik-MCP?

Opik-MCP is a Model Context Protocol (MCP) implementation designed for seamless integration with Integrated Development Environments (IDEs). It provides a unified access point for managing prompts, projects, traces, and metrics, enhancing the workflow for developers and data scientists. This tool is particularly useful for those who want to streamline their machine learning processes and improve collaboration across teams.

Features of Opik-MCP

Seamless IDE Integration: Opik-MCP allows users to integrate their development environment effortlessly, making it easier to manage various aspects of machine learning projects.
Unified Access: Users can access prompts, projects, traces, and metrics from a single interface, reducing the complexity of managing multiple tools.
Enhanced Collaboration: The protocol facilitates better collaboration among team members by providing a shared platform for project management.
Open Source: Being a public repository, Opik-MCP is open for contributions, allowing developers to enhance its features and functionalities.

How to Use Opik-MCP

Installation: Begin by cloning the Opik-MCP repository from GitHub. Use the command:
```
git clone https://github.com/comet-ml/opik-mcp.git
```
Setup: Follow the setup instructions provided in the repository's README file to configure the environment according to your needs.
Integration: Integrate Opik-MCP with your preferred IDE. Detailed instructions can be found in the documentation section of the repository.
Usage: Start using the features of Opik-MCP to manage your machine learning projects effectively. Access prompts, projects, traces, and metrics through the unified interface.

Frequently Asked Questions

What programming languages does Opik-MCP support?

Opik-MCP is designed to be language-agnostic, allowing it to be used with various programming languages commonly used in machine learning, such as Python, R, and Java.

Is Opik-MCP free to use?

Yes, Opik-MCP is an open-source project released under the Apache-2.0 license, making it free to use and modify.

How can I contribute to Opik-MCP?

You can contribute by forking the repository, making your changes, and submitting a pull request. Contributions are welcome, and you can also report issues or suggest features.

Where can I find more information about Opik-MCP?

For more details, visit the official Opik-MCP page or check the documentation available in the GitHub repository.

Server Config

{
  "mcpServers": {
    "opik-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/metorial/mcp-container--comet-ml--opik-mcp--opik-mcp",
        "npm run start"
      ],
      "env": {
        "OPIK_API_BASE_URL": "opik-api-base-url",
        "OPIK_API_KEY": "opik-api-key",
        "OPIK_WORKSPACE_NAME": "opik-workspace-name"
      }
    }
  }
}

Project Info

Author

comet-ml

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