How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
Model Context Protocol (MCP) implementation for Opik enabling seamless IDE integration and unified access to prompts, projects, traces, and metrics.
The main features of comet-ml/opik-mcp are: AI & Machine Learning, Data Analysis and Visualization, Data & Databases, Developer Tools, Development Tools.
Open-source alternatives to comet-ml/opik-mcp include: yvgude/lean-ctx — Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust… armgabrielyan/deadbranch — Clean up stale git branches safely. 7df-lab/devo — Open coding agent, provider agnositc. aaif-goose/goose — Goose is an autonomous coding assistant and extensible AI agent framework designed to automate software development… anthropics/skills — This project provides a standardized framework for extending the functional range of artificial intelligence agents… anaisbetts/mcp-installer — An MCP server that installs other MCP servers for you.
Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust binary that decides what they read, remembers what they learn, guards what they touch, and proves what they save. 60–90% fewer tokens as the receipt. 76 MCP tools, 30+ agents, local-first.
An MCP server that installs other MCP servers for you
Goose is an autonomous coding assistant and extensible AI agent framework designed to automate software development workflows. It functions as an orchestration engine that can install, execute, and test code, as well as manage local files and shell commands. The platform is model-agnostic, providing a flexible interface to connect with diverse cloud-based or self-hosted large language model providers. It distinguishes itself through a standardized context protocol for integrating external tools and extensions, and a recipe system that allows users to define and repeat complex, multi-step AI w
