mcporter and opik-mcp

These are **ecosystem siblings**: mcporter provides the foundational TypeScript framework for calling any MCP server (including opik-mcp), while opik-mcp is a specialized MCP server implementation that users would invoke through mcporter or similar MCP clients.

mcporter
80
Verified
opik-mcp
63
Established
Maintenance 20/25
Adoption 20/25
Maturity 22/25
Community 18/25
Maintenance 10/25
Adoption 10/25
Maturity 25/25
Community 18/25
Stars: 3,153
Forks: 205
Downloads: 625,609
Commits (30d): 31
Language: TypeScript
License:
Stars: 199
Forks: 31
Downloads:
Commits (30d): 0
Language: TypeScript
License: Apache-2.0
No risk flags
No risk flags

About mcporter

steipete/mcporter

Call MCPs via TypeScript, masquerading as simple TypeScript API. Or package them as cli.

This tool helps developers and technical professionals quickly integrate and manage interactions with Model Context Protocol (MCP) servers. It takes existing MCP server configurations (like those from Cursor or Claude Code) and allows you to easily call their functions directly from TypeScript code or generate command-line tools. The output is typically the result of the MCP server's function, like a created comment, a search result, or a deployment status, presented in a structured, typed format.

developer-tooling workflow-automation api-integration cli-generation code-execution

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.

AI/ML Development Prompt Engineering MLOps IDE Integration AI Workflow Management

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