"Coca-Cola" matching MCP servers:

A lightweight short-term memory MCP server that automatically stores and recalls working context, session state, and task progress for AI agents. Memories auto-expire after 24 hours and integrate seamlessly with workspace-aware storage across multiple projects.

Enables AI agents to profile React applications, detect performance bottlenecks, and automatically apply fixes like memoization and code hoisting.

Bridges a local agent to a Colab session in the browser, enabling seamless interaction with Colab from local clients.

Enables you to audit your AI agent skills by running each one against an agent that cannot see it, diffing the resulting artifacts, and grading whether each skill genuinely improves, changes nothing, or worsens the output.

AI-driven command center for local crypto operations, integrating over a dozen MCPs for real-time market data, technical analysis, on-chain data, and autonomous trading agent execution.

Enables AI agents to create parametric geometry, apply loads, run simulations, and read results in Ansys Discovery through natural-language commands over gRPC.