What is a #llm-evaluation MCP server?
An MCP server tagged #llm-evaluation implements the Model Context Protocol so AI assistants like Claude, Cursor, and VS Code can access llm-evaluation-related tools, data, or APIs.
3 #llm-evaluation MCP Servers & Clients
Every MCP server and client below is tagged #llm-evaluation — install one to give Claude, Cursor, VS Code, or any other MCP-compatible client access to llm-evaluation tools.
All
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.
Added 4 months ago
Atla MCP Server
spisupat
Initial version of an mcp server for agents to interact with atla's models
Added last year
C
Conkurrence
AlligatorC0der
Conkurrence measures whether multiple AI models produce consistent outputs on your evaluation tasks. It tells you which items your AI agrees on and which need human review — using Fleiss' κ, Kendall's W, and bootstrap confidence intervals, the same psychometric methods trusted in
Added 4 months ago
Frequently asked questions
Common questions about MCP servers and clients tagged #llm-evaluation
How many #llm-evaluation MCP servers and clients are there?
mcp.so currently lists 3 MCP servers and clients tagged #llm-evaluation.
How do I install a #llm-evaluation MCP server?
Open any server below and copy its install snippet into Claude Desktop, Cursor, VS Code, or another MCP client's configuration — remote servers need no separate download.