6 个#optimization MCP 服务器和客户端

Prompt Enhancer MCP - Optimize, Analyze & Convert AI Prompts

yedanyagamiai-cmd

49 AI tools across 9 MCP servers. Enterprise AGI Runtime (1,054 tests). Free tier. ☕ buymeacoffee.com/yesinyagami

Pqs Prompt Quality Score

OnChainAIIntel

The world's first named AI prompt quality score. Score any LLM prompt before it hits any model — returns grade (A-F), score out of 40, percentile, and dimension breakdown across 8 quality dimensions.

IvoryOS MCP

ivoryzh

IvoryOS is a Python-based unified robot control web interface, developed for user-friendly workflow design and control for Self-Driving Labs (SDLs). It works by introspecting the Python script, dynamically searching for available module and their method. The methods are available

Flexible Job Shop Scheduling solver using Google OR-Tools CP-SAT. Optimizes task-to-machine assignments with precedence, time windows, setup times, and multiple objectives. MCP-native for AI agents.

Forge - GPU Kernel Optimization

RightNow-AI

Turn slow PyTorch into fast CUDA/Triton kernels. 32 parallel swarm agents optimize your code on real datacenter GPUs (B200, H200, H100, A100) with up to 14x speedup over torch.compile.

A Model Context Protocol (MCP) server providing solutions for Constraint Satisfaction Problems (CSP) and Linear Programming (LP). Built on the gurddy optimization library, it supports solving a variety of classic problems through two MCP transports: stdio (for IDE integration) an