opik-mcp and mcp-server
These tools are ecosystem siblings: one is an MCP implementation for Opik (an IDE integration tool), while the other is an MCP server for the Webflow Data API, both leveraging the Model Context Protocol in different parts of a data or ML workflow.
About opik-mcp
comet-ml/opik-mcp
Model Context Protocol (MCP) implementation for Opik enabling seamless IDE integration and unified access to prompts, projects, traces, and metrics.
This tool helps AI/ML developers seamlessly integrate the Opik platform with their favorite IDEs (like Cursor, VS Code, or GitHub Copilot). It takes your Opik API key and configuration settings as input, providing a unified interface within your development environment to manage prompts, explore project traces, and access metrics. AI/ML engineers and prompt engineers will use this to streamline their workflow directly from their coding interface.
About mcp-server
webflow/mcp-server
Model Context Protocol (MCP) server for the Webflow Data API.
This project enables AI assistants like Cursor or Claude to directly interact with your Webflow website. You can input natural language prompts into your AI, and it will output changes, analyses, or content suggestions directly applied to your Webflow site. This is for Webflow designers, marketers, or content managers who want to automate website updates or content generation using AI.
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